A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

A

a - Variable in class SciLib.Math.quaternion

public members

abs() - Method in class SciLib.Math.complex

Compute the absolute value of this complex number.

abs() - Method in class SciLib.Math.complexVector

Make a real vector that contains the absolute values of all elements in the vector.

abs() - Method in class SciLib.Math.vector

change the vector to its absolute values.

abs(vector) - Static method in class SciLib.Math.vector

change the vector to its absolute values.

action - Variable in class SciLib.AI.Search.SearchNode

Action - Interface in SciLib.Util

action() - Method in interface SciLib.Util.Action

actionPerformed(ActionEvent) - Method in class SciLib.Util.FrameWin

default actionPerformed

Activation - Interface in SciLib.Neuro

This class defines an Activation function.

actualFrequency() - Method in class SciLib.SP.Wave

Compute the actual frequency

Adaline - Class in SciLib.Neuro

This class defines An Adaline Network.

Adaline(int, Activation) - Constructor for class SciLib.Neuro.Adaline

Make an Adeline network with specific size and activation function

add(boolean) - Method in class SciLib.Math.bitStream

Add one bit 'b' to this bitStream

add(char) - Method in class SciLib.Math.bitStream

Add one bit 'b' to this bitStream

add(int) - Method in class SciLib.Math.bitStream

Add one bit b to this bitStream

add(boolean) - Method in class SciLib.Math.booleanVector

Add an element of value x to the vector.

add(byte) - Method in class SciLib.Math.byteVector

Add a byte x to the vector.

add(short) - Method in class SciLib.Math.byteVector

Add a short value x to the vector.

add(complex) - Method in class SciLib.Math.complexVector

add a complex number to the vector.

add(double, double) - Method in class SciLib.Math.complexVector

add a complex number (x, y) to the vector.

add(int) - Method in class SciLib.Math.integerVector

Add an element of value x to the vector.

add(double) - Method in class SciLib.Math.vector

Add an element of value x to the vector.

addToPathCost(double) - Method in class SciLib.AI.Search.SearchNode

add to pathCost

alpha - Variable in class SciLib.Neuro.SVM.SVM

AM(double, double) - Static method in class SciLib.SP.Comm.Encode

Plot the result of modulating by Amplitude-Modulation technique.

AM(double, double, vector, vector, boolean) - Static method in class SciLib.SP.Comm.Encode

Generate the modulating signal by Amplitude-Modulation technique.

AMIData(int[]) - Static method in class SciLib.SP.Comm.Encode

Recover digital data from bipolarAMI signal.

and(boolean, boolean) - Static method in class SciLib.Math.bitStream

and operation

and(int, int) - Static method in class SciLib.Math.bitStream

and operation

and(bitStream) - Method in class SciLib.Math.bitStream

Apply and method between this bitStream and a bitStream b

and(bitStream, int) - Method in class SciLib.Math.bitStream

Apply and method between this bitStream and a bitStream b from the index i

angle() - Method in class SciLib.Math.complex

Compute the angle in radian of the complex number.

angle() - Method in class SciLib.Math.complexVector

Make a real vector that contains angles in radian of all elements in the vector.

append(bitStream) - Method in class SciLib.Math.bitStream

Append the bitStream with a bitStream b

append(booleanVector) - Method in class SciLib.Math.booleanVector

Append an booleanVector x to this vector

append(byteVector) - Method in class SciLib.Math.byteVector

Append an byteVector x to this vector

append(integerVector) - Method in class SciLib.Math.integerVector

Append an integerVector x to this vector

append(vector) - Method in class SciLib.Math.vector

Append a vector x to this vector

Application - Interface in SciLib.AI.Search

This interface defines specific methods for different applications

approximate(Function, vector) - Method in class SciLib.Neuro.RbfNet

argmax() - Method in class SciLib.Math.byteVector

Compute the index of the maximum element in the vector.

argmax() - Method in class SciLib.Math.integerVector

Compute the index of the maximum element in the vector.

argmax() - Method in class SciLib.Math.vector

Compute the index of the maximum element in the vector.

argmin() - Method in class SciLib.Math.byteVector

Compute the index of the minimum element in the vector.

argmin() - Method in class SciLib.Math.integerVector

Compute the index of the minimum element in the vector.

argmin() - Method in class SciLib.Math.vector

Compute the index of the minimum element in the vector.

ASK(bitStream, boolean) - Static method in class SciLib.SP.Comm.Encode

Plot the result of modulating by Amplitude-shift keying technique.

AStar(Application, boolean) - Method in class SciLib.AI.Search.TreeSearch

implements A* search algorithm

Audio - Class in SciLib.SP

This class contains some useful methods to handle audio file.

Audio() - Constructor for class SciLib.SP.Audio

audioData - Variable in class SciLib.SP.Sound

audioDataStream - Variable in class SciLib.SP.Sound

autoCorrelation(vector) - Static method in class SciLib.Math.ST.Stat

Compute the autoCorrelation of the vector x

autoCovariance(vector) - Static method in class SciLib.Math.ST.Stat

Compute the autoCovariance of the vector x

averageError - Variable in class SciLib.Neuro.Nnet

averageFitness() - Method in class SciLib.Neuro.Population

Compute the average fitness

B

b - Variable in class SciLib.Math.quaternion

B - Variable in class SciLib.Neuro.SVM.SVM

b_low - Variable in class SciLib.Neuro.SVM.SVM

b_up - Variable in class SciLib.Neuro.SVM.SVM

bartlett(int) - Static method in class SciLib.SP.WindowFunction

Bartlett window with n points

BDS(Application, boolean) - Method in class SciLib.AI.Search.TreeSearch

implements Bidirectional search algorithm

BellmanFord(int[][], int, int, int) - Static method in class SciLib.SP.Comm.Control

Compute the least-cost path by Bellman-Ford Algorithm

BellmanFord(int[][], int, int) - Static method in class SciLib.SP.Comm.Control

Compute the least-cost path by Bellman-Ford Algorithm

Bess0(double, int) - Static method in class SciLib.Math.SpecFunc

The modified zeroth Bessl function

beta(double, double) - Static method in class SciLib.Math.SpecFunc

Compute the beta function at point z, w

betainc(double, double, double) - Static method in class SciLib.Math.SpecFunc

Compute the incomplete beta function betainc(a,b,x) betainc(a,b,x) = 1/beta(a,b) * integral from 0 to x of t^(a-1)(1-t)^(b-1) dt

BFS(Application) - Method in class SciLib.AI.Search.TreeSearch

implements breadth-first search algorithm

BFS(Application, boolean) - Method in class SciLib.AI.Search.TreeSearch

implements breadth-first search algorithm

bico(int, int) - Static method in class SciLib.Math.SpecFunc

Compute the binomial coefficient

Bid - Class in SciLib.AI.Auction

This class contains some methods to define a Bid; an application-oriented Bid can be extended from this one.

Bid(bitStream, double) - Constructor for class SciLib.AI.Auction.Bid

Bid(String, double) - Constructor for class SciLib.AI.Auction.Bid

bid - Variable in class SciLib.AI.Auction.Bid

BidTree - Class in SciLib.AI.Auction

This class contains some methods to build a SEARCH2 tree of Tuomas Sandholm.

BidTree(int) - Constructor for class SciLib.AI.Auction.BidTree

binary - Variable in class SciLib.Neuro.SVM.SVM

binaryDivision(bitStream, bitStream) - Static method in class SciLib.SP.Comm.Control

Perform binary division between two bit strings

binNode - Class in SciLib.AI.Search

A generic binary node used to build a binary tree.

binNode() - Constructor for class SciLib.AI.Search.binNode

binNode(Object) - Constructor for class SciLib.AI.Search.binNode

bipolarAMI(bitStream, boolean) - Static method in class SciLib.SP.Comm.Encode

Generate a signal from a bitStream data using bipolarAMI technique.

bisect(Function, double, double, int) - Static method in class SciLib.Math.nonLinear

Bisection method for solving nonlinear equation

bisect(Function, double, double, double) - Static method in class SciLib.Math.nonLinear

Bisection method for solving nonlinear equation

bitAt(int) - Method in class SciLib.Math.bitStream

return the character of the bit i int the bitStream

bitChar(boolean) - Static method in class SciLib.Math.bitStream

convert a digital pulse to bit character

bitrev(int, int) - Static method in class SciLib.Math.bitStream

return a number that is made by bitreversal of the integer n using q-bits representation by q bits.

bitrevi(complexVector) - Method in class SciLib.SP.Transform.Fourier

reverse indices of x by bit reversal

bitrevi(complexVector, complexVector) - Method in class SciLib.SP.Transform.Fourier

reverse indices of x by bit reversal and store the result in y

bits2num(int) - Static method in class SciLib.Math.bitStream

return the byggest integer number that can be repersented by q bits

BitsNeeded(int) - Static method in class SciLib.Math.byteVector

bitStream - Class in SciLib.Math

This class contains some methods to handle a string of bits.

bitStream() - Constructor for class SciLib.Math.bitStream

Allocates a new bitStream containing no data.

bitStream(int, boolean) - Constructor for class SciLib.Math.bitStream

Allocates a new bitStream containing a bits representation of an integer n.

bitStream(char, boolean) - Constructor for class SciLib.Math.bitStream

Allocates a new bitString containing a bits representation of a character c.

bitStream(byte) - Constructor for class SciLib.Math.bitStream

Allocates a new bitString containing a bits representation of a byte b.

bitStream(byte[]) - Constructor for class SciLib.Math.bitStream

Allocates a new bitString containing a bits representation of a byte array b.

bitStream(booleanVector) - Constructor for class SciLib.Math.bitStream

Allocates a new bitStream containing a initialized booleanVector bits.

bitStream(int[]) - Constructor for class SciLib.Math.bitStream

Allocates a new bitStream containing a initialized pulse array.

bitStream(String) - Constructor for class SciLib.Math.bitStream

Allocates a new bitStream containing a initialized bit character String.

blackWhite() - Method in class SciLib.SP.IP.Picture

make a lack and white picture

booleanPulse(int) - Static method in class SciLib.Math.bitStream

convert an bit integer to a digital pulse

booleanPulse(char) - Static method in class SciLib.Math.bitStream

convert a bit character to a digital pulse

booleanVector - Class in SciLib.Math

This class defines a dynamic vector of type intger.

booleanVector() - Constructor for class SciLib.Math.booleanVector

Allocates an empty vector.

booleanVector(int) - Constructor for class SciLib.Math.booleanVector

Allocates a vector of size n with initiařized values 0.

booleanVector(boolean[]) - Constructor for class SciLib.Math.booleanVector

Allocates a vector from the array vec.

booleanVector(booleanVector) - Constructor for class SciLib.Math.booleanVector

Make a copy of the vector x.

box(Graphics, double, double, double, double) - Method in class SciLib.Grp.Graphics2D

Plot a rectangle.

box(Graphics, double, double, double, double, double, double) - Method in class SciLib.Grp.Graphics3D

Make a box for coordinate system

box(Graphics, double, double, double, double, double, double, boolean) - Method in class SciLib.Grp.Graphics3D

Make a box for coordinate system

BSVM - Class in SciLib.Neuro.SVM

BSVM(FileHandler, Kernel, boolean, int) - Constructor for class SciLib.Neuro.SVM.BSVM

Constructor

BSVM(FileHandler, boolean, int) - Constructor for class SciLib.Neuro.SVM.BSVM

Constructor

BSVM(matrix, integerVector, Kernel, boolean, int) - Constructor for class SciLib.Neuro.SVM.BSVM

Constructor

BSVM(matrix, integerVector, Kernel, int, int) - Constructor for class SciLib.Neuro.SVM.BSVM

Constructor

BSVM(matrix, integerVector, Kernel) - Constructor for class SciLib.Neuro.SVM.BSVM

Constructor

bwFilter(Image, Component) - Static method in class SciLib.SP.IP.Filter

black and white filter an image with a media tracker in a component c

byteSignal - Variable in class SciLib.SP.Sound

byteValue(byte) - Static method in class SciLib.Math.byteVector

get the value of a byte

byteVector - Class in SciLib.Math

This class defines a dynamic vector of type intger.

byteVector() - Constructor for class SciLib.Math.byteVector

Allocates an empty vector.

byteVector(int) - Constructor for class SciLib.Math.byteVector

Allocates a vector of size n with initiařized values 0.

byteVector(byte[]) - Constructor for class SciLib.Math.byteVector

Allocates a vector from the array vec.

byteVector(String) - Constructor for class SciLib.Math.byteVector

Make a byteVector from s String s.

byteVector(byteVector) - Constructor for class SciLib.Math.byteVector

Make a copy of the vector x.

C

c - Variable in class SciLib.Neuro.RbfNet

contains K-cluster indexes

c - Variable in class SciLib.Neuro.SVM.PolynomialKernel

C - Variable in class SciLib.Neuro.SVM.SVM

c - Variable in class SciLib.SP.IP.Picture

c1 - Variable in class SciLib.Neuro.SVM.BSVM

c2 - Variable in class SciLib.Neuro.SVM.BSVM

changeIntensities(int) - Method in class SciLib.SP.IP.Picture

change intensities

changeView(vector, vector, vector, double) - Method in class SciLib.Grp.Graphics3D

change 3D View

changeWindowSize(Dimension) - Method in class SciLib.Grp.Graphics2D

change graphics window size

changeWindowSize(int, int) - Method in class SciLib.Grp.Graphics2D

change graphics window size

checkBit(int, int, boolean) - Method in class SciLib.Math.bitStream

Check a bit value in a sequence of bits from index i to index j

checkValidClassify(vector) - Static method in class SciLib.Neuro.Classify

Classify a pattern y by the check valid method

chooseKRowsRandomly(matrix, integerVector, int) - Static method in class SciLib.Neuro.Classify

Choose randomly k rows of the matrix m.

Classify - Class in SciLib.Neuro

This class defines methods used to solve a classification problem.

Classify() - Constructor for class SciLib.Neuro.Classify

classify(vector, int) - Static method in class SciLib.Neuro.Classify

Classify a pattern y

classify(int, integerVector) - Method in class SciLib.Neuro.RbfNet

classify the data from a test file

closeFile() - Method in interface SciLib.Neuro.SVM.FileHandler

closeFile() - Method in class SciLib.Neuro.SVM.SVMFileHandler

closeFile() - Method in class SciLib.Neuro.SVM.SVMReadBinaryData

closeFile() - Method in class SciLib.Neuro.SVM.SVMReadTextData

closeWindow - Class in SciLib.Util

This class, when it receives window events will close the current window.

closeWindow() - Constructor for class SciLib.Util.closeWindow

cm - Variable in class SciLib.SP.IP.Picture

co - Static variable in class SciLib.Grp.LSystem

coef(double[], double[]) - Static method in class SciLib.Math.nonLinear

Compute the coefficients by divided difference

columns - Variable in class SciLib.Neuro.SVM.SVMFileHandler

comb(vector, vector, String) - Static method in class SciLib.Grp.Plot

default comb method

comb(vector, String) - Static method in class SciLib.Grp.Plot

default comb method

comb(Graphics2D, vector, vector, String) - Static method in class SciLib.Grp.Plot

default comb method

commonElement(LinkedList<SearchNode>, LinkedList<SearchNode>, Application) - Method in class SciLib.AI.Search.TreeSearch

check if two lists are not disjoint

compareTo(Object, Object) - Method in interface SciLib.Util.Comparison

Comparison - Interface in SciLib.Util

This interface defines a compareTo method that compares two objects

complex - Class in SciLib.Math

This class contains some methods to handle complex numbers.

complex() - Constructor for class SciLib.Math.complex

Make a zero complex number.

complex(double, double) - Constructor for class SciLib.Math.complex

Make a complex number z=(re, im)

complex(double) - Constructor for class SciLib.Math.complex

Make a complex number from a real number

complexMatrix - Class in SciLib.Math

This class contains some methods to handle the matrix problems

complexMatrix() - Constructor for class SciLib.Math.complexMatrix

Allocates a 0x0 matrix.

complexMatrix(int, int) - Constructor for class SciLib.Math.complexMatrix

Allocates a m x n matrix.

complexMatrix(complexMatrix) - Constructor for class SciLib.Math.complexMatrix

Make a copy of a matrix ma.

complexVector - Class in SciLib.Math

This class contains some methods to handle a vector of complex numbers.

complexVector() - Constructor for class SciLib.Math.complexVector

Allocates a new complexVector containing no data.

complexVector(int) - Constructor for class SciLib.Math.complexVector

Allocates a new complexVector of length n.

complexVector(vector) - Constructor for class SciLib.Math.complexVector

Make a complexVector from a real vector x.

complexVector(complexVector) - Constructor for class SciLib.Math.complexVector

Make a complexVector from another complex vector x.

complexVector(complex[]) - Constructor for class SciLib.Math.complexVector

Make a complexVector from an array of complex numbers.

computeB() - Method in class SciLib.Neuro.SVM.SVM

compute the the threshold value b

computeF(vector) - Method in interface SciLib.Math.FunctionmD

computeOutput(vector) - Method in class SciLib.Neuro.Adaline

Compute output

computeOutput(vector) - Method in class SciLib.Neuro.Madaline

Compute output

computeOutput(vector) - Method in class SciLib.Neuro.RbfNet

Compute the output from an input vector x

computePhiAt(vector, int) - Method in class SciLib.Neuro.RbfNet

Compute phi(x_i)

computeRadius() - Method in class SciLib.Neuro.RbfNet

Compute the radius = M/d^2

computeTheBest() - Method in class SciLib.Neuro.Population

Generate theBestGen for all variables

computeY(double) - Method in interface SciLib.Math.Function

computeZ(double, double) - Method in interface SciLib.Math.Function3D

concat(booleanVector) - Method in class SciLib.Math.booleanVector

Append a booleanVector x to this vector

concat(byteVector) - Method in class SciLib.Math.byteVector

Append a vector x to this vector

concat(integerVector) - Method in class SciLib.Math.integerVector

Append a vector x to this vector

concat(vector) - Method in class SciLib.Math.vector

Append a vector x to this vector

conj() - Method in class SciLib.Math.complex

set the complex number equal to its conjugate.

conj(complex) - Static method in class SciLib.Math.complex

Make a complex number that is equal to the conjugate of x.

conj() - Method in class SciLib.Math.complexVector

Change the vector to its conjugates.

conjugate() - Method in class SciLib.Math.quaternion

the conjugate of this quaternion

conjugate(quaternion, quaternion) - Static method in class SciLib.Math.quaternion

the division of 2 quaternions x/y

contrast(int, int, String) - Method in class SciLib.SP.IP.Picture

make a contrast picture

Control - Class in SciLib.SP.Comm

This class contains some methods to perform the communications Control techniques.

Control() - Constructor for class SciLib.SP.Comm.Control

conv(double[], double[]) - Static method in class SciLib.SP.Sp

Computer the linear convolution of two signals x*y

conv(vector, vector) - Static method in class SciLib.SP.Sp

Computer the linear convolution of two signals x*y

coord(Graphics, double, double, double, double) - Method in class SciLib.Grp.Graphics2D

Draw a 2D coordinate system in a frame window.

coord2D(Graphics, double, double, double, double) - Method in class SciLib.Grp.Graphics2D

Make a 2D coordinate system without drawing it in a frame window.

coord2D(Graphics, vector, vector) - Method in class SciLib.Grp.Graphics2D

Make a 2D coordinate system and plot it in a frame window.

coord2D(Graphics, vector, vector, String) - Method in class SciLib.Grp.Graphics2D

Make a 2D coordinate system and plot it in a frame window with a specific

coord3D(Graphics, double, double, double, double, double, double) - Method in class SciLib.Grp.Graphics3D

Make a 3D coordinate system

coord3D(Graphics, vector, vector) - Method in class SciLib.Grp.Graphics3D

Make a 3D coordinate system

copy(bitStream) - Static method in class SciLib.Math.bitStream

Make a copy of a given bitStream

copy(booleanVector) - Static method in class SciLib.Math.booleanVector

Make a copy of the vector x.

copy(byteVector) - Static method in class SciLib.Math.byteVector

Make a copy of the vector x.

copy(integerVector) - Static method in class SciLib.Math.integerVector

Make a copy of the vector x.

correlation(vector, vector) - Static method in class SciLib.Math.ST.Stat

Compute the correlation of two vectors x, y

cos(vector) - Static method in class SciLib.Math.Num

Compute cos(x) for all elements x in the vector v

covariance(vector, vector) - Static method in class SciLib.Math.ST.Stat

Compute the covariance of two vectors x, y

CRC(bitStream, bitStream) - Static method in class SciLib.SP.Comm.Control

Perform a CRC check

CRC_Transmitted(bitStream, bitStream) - Static method in class SciLib.SP.Comm.Control

Generate the transmitted signal with the Cyclic Redundancy Check

crop(int, int, int, int, Image, Component) - Static method in class SciLib.SP.IP.Filter

crop an image with a specific rectangle

crop(Rectangle, Image, Component) - Static method in class SciLib.SP.IP.Filter

crop an image with a specific rectangle

crop(int, int, int, int) - Method in class SciLib.SP.IP.Picture

crop an image with a specific rectangle

crop(Rectangle) - Method in class SciLib.SP.IP.Picture

crop an image with a specific rectangle

crossover() - Method in class SciLib.Neuro.Population

Crossover selection: selects two parents that take part in the crossover.

crossProduct(rPoint, rPoint) - Static method in class SciLib.Math.rPoint

Compute the cross product of the two vector in 3D space

crossValidation(int, double, int, double, int, double, double) - Method in class SciLib.Neuro.SVM.BSVM

cross-validation

crossValidation(int, double, int, double, int, double, double) - Method in class SciLib.Neuro.SVM.DAGSVM

cross-validation

crossValidation(int, double, int, double, int, double, double) - Method in class SciLib.Neuro.SVM.OAASVM

cross-validation

crossValidation(int, double, int, double, int, double, double) - Method in class SciLib.Neuro.SVM.OAOSVM

cross-validation

crossValidation(int, double, int, double, int, double, double) - Method in interface SciLib.Neuro.SVM.SMO

crossValidation(int, double, int, double, int, double, double) - Method in class SciLib.Neuro.SVM.SVM

cuberoot(double) - Static method in class SciLib.Math.math

Compute cuberoot of a double x

cuberoot(vector) - Static method in class SciLib.Math.Num

Compute cuberoot(x) for all elements x in the vector y

CUBEROOT - Static variable in class SciLib.SP.Transform.Trans

cuberoot(vector) - Static method in class SciLib.SP.Transform.Trans

cuberoot transform of a vector

cutLeft(int) - Method in class SciLib.Math.bitStream

cut n bits of the bitStream from the left.

cutRight(int) - Method in class SciLib.Math.bitStream

cut n bits of the bitStream from the right.

D

d - Variable in class SciLib.Neuro.SVM.PolynomialKernel

DAGNode - Class in SciLib.Neuro.SVM

DAGNode() - Constructor for class SciLib.Neuro.SVM.DAGNode

Constructor

DAGNode(BSVM) - Constructor for class SciLib.Neuro.SVM.DAGNode

DAGSVM - Class in SciLib.Neuro.SVM

DAGSVM(int, FileHandler, Kernel) - Constructor for class SciLib.Neuro.SVM.DAGSVM

Constructor

data - Variable in class SciLib.AI.Search.Node

decibel(double) - Static method in class SciLib.Math.math

Compute decibel value of a double x.

decibel(vector) - Static method in class SciLib.Math.Num

Compute decibel(x) for all elements x in the vector v.

decibelPlot() - Method in class SciLib.SP.Transform.Fourier

plot the decibel magnitude of the FT spectrum.

decibelToNumber(double) - Static method in class SciLib.Math.math

Compute the number from its decibel

decodeMuLaw(byteVector) - Static method in class SciLib.SP.muLawCodec

Decode a mu-law vector

defaultView() - Method in class SciLib.Grp.Graphics3D

set the view matrix to the default view

degreesToRadians(double) - Static method in class SciLib.Math.math

convert the degrees to radians of an angle theta.

depth - Variable in class SciLib.AI.Auction.BidTree

depth - Variable in class SciLib.AI.Search.SearchNode

DesiredOutputMatrix - Variable in class SciLib.Neuro.Nnet

deviation(vector) - Static method in class SciLib.Math.ST.Stat

Compute the standard deviation of vector x

DFS(Application, boolean) - Method in class SciLib.AI.Search.TreeSearch

implements depth-first search algorithm

differentialManchester(bitStream, boolean) - Static method in class SciLib.SP.Comm.Encode

Generate a signal from a bitStream data using differentialManchester technique.

differentialManchesterData(int[]) - Static method in class SciLib.SP.Comm.Encode

Recover digital data from differentialManchester signal.

Dijkstra(double[][], int, int) - Static method in class SciLib.SP.Comm.Control

Compute the least-cost path by Dijkstra Algorithm

Dijkstra(int[][], int, int) - Static method in class SciLib.SP.Comm.Control

Compute the least-cost path by Dijkstra Algorithm

Dijkstra(matrix, int, int) - Static method in class SciLib.SP.Comm.Control

Compute the least-cost path by Dijkstra Algorithm

directSeq(bitStream, bitStream) - Static method in class SciLib.SP.Comm.Encode

Generate a direct sequence signal.

diric(vector, int) - Static method in class SciLib.Math.Num

Compute Dirichlet(x,n) for all elements in the vector x

diric(double, int) - Static method in class SciLib.Math.SpecFunc

Compute Dirichlet(x,n)

dissolve(int, Image, Component) - Static method in class SciLib.SP.IP.Filter

rgb filter an image with a media tracker in a component c

dissolve(int) - Method in class SciLib.SP.IP.Picture

Alpha filter an image with a media tracker in a component c

distance(rPoint) - Method in class SciLib.Math.rPoint

compute the distance from this point to a point a

distance(vector) - Method in class SciLib.Math.vector

compute the distance between this point vector to a vector x

distance(vector, vector) - Static method in class SciLib.Math.vector

compute the distance between to point vector

DLS(Application, int, boolean) - Method in class SciLib.AI.Search.TreeSearch

implements depth-limited search algorithm

doneTransf() - Method in class SciLib.Neuro.SVM.BSVM

doneTransform() - Method in class SciLib.Neuro.SVM.BSVM

dot(integerVector, integerVector, integerVector, integerVector) - Static method in class SciLib.Math.integerVector

compute the dot product of two sparse binary vector a sparse vectors.

dot(integerVector, integerVector) - Static method in class SciLib.Math.integerVector

compute the dot product of two sparse binary vector a sparse vectors.

dot(vector, vector) - Static method in class SciLib.Math.vector

compute the dot product of the two vectors x, y

dot(integerVector, vector, integerVector, vector) - Static method in class SciLib.Math.vector

compute the dot product of the two sparse vectors x, y

dotProduct(rPoint, rPoint) - Static method in class SciLib.Math.rPoint

Compute the dot product of the two vector in 3D space

drawCurve(Graphics) - Static method in class SciLib.Grp.LSystem

drawImage(Graphics) - Method in class SciLib.SP.IP.Picture

draw image

drawImage(Graphics, int, int) - Method in class SciLib.SP.IP.Picture

draw image

drawLine(Graphics, double, double, double, double) - Method in class SciLib.Grp.Graphics2D

draw a line from (x1,y1) to (x2,y2)

duration() - Method in class SciLib.SP.Sound

compute the duration

E

edge() - Method in class SciLib.SP.IP.Picture

make an edge picture

elementAt(int) - Method in class SciLib.Math.bitStream

Return the bit i

elementAt(int) - Method in class SciLib.Math.booleanVector

return the value of vector at index i.

elementAt(int) - Method in class SciLib.Math.byteVector

return the value of vector at index i.

elementAt(int, int) - Method in class SciLib.Math.complexMatrix

return the value element of matrix at row i and column j.

elementAt(int) - Method in class SciLib.Math.complexVector

return a complex number at index "index".

elementAt(int) - Method in class SciLib.Math.integerVector

return the value of vector at index i.

elementAt(int, int) - Method in class SciLib.Math.matrix

return the value element of matrix at row i and column j.

elementAt(int) - Method in class SciLib.Math.vector

return the value of vector at index i.

elitist() - Method in class SciLib.Neuro.Population

Elitist function: If the best member of the current generation is worse then the best member of the previous generation, the latter one would replace the worst member of the current population

Encode - Class in SciLib.SP.Comm

This class contains some methods to perform the encoding techniques.

Encode() - Constructor for class SciLib.SP.Comm.Encode

eps - Variable in class SciLib.Neuro.SVM.SVM

erf(double) - Static method in class SciLib.Math.SpecFunc

Compute the error function erf(x) erf(x) = 2/sqrt(pi) * integral from 0 to x of exp(-t^2)dt

erfc(double) - Static method in class SciLib.Math.SpecFunc

Compute the error function erfc(x) erfx(x) = 2/sqrt(pi) * integral from x to inf of exp(-t^2)dt

error(vector, vector) - Static method in class SciLib.Math.ST.timeSeries

Compute error vector, x - y

error - Variable in class SciLib.Neuro.Layer

error_cache - Variable in class SciLib.Neuro.SVM.SVM

errorThreshold - Variable in class SciLib.Neuro.Nnet

eval(double[], double[], int, double) - Static method in class SciLib.Math.nonLinear

Compute the value of polynom with Horner's rule

evaluate() - Method in class SciLib.Neuro.Population

evaluate the fitness

Evolution() - Method in class SciLib.Neuro.Population

Evolution process

exists(String) - Static method in class SciLib.Util.fileProcessing

check if a file exists

exit - Variable in class SciLib.Util.FrameWin

exp(complex) - Static method in class SciLib.Math.complex

compute the exponent of a complex number x

exp(vector) - Static method in class SciLib.Math.Num

Compute exp(x) for all elements x in the vector v

expi(double) - Static method in class SciLib.Math.SpecFunc

Compute the exponent integral function expi(n,x) = integral from -inf to x of exp(t)/t dt

expint(int, double) - Static method in class SciLib.Math.SpecFunc

Compute the exponent integral function expint(n,x) = integral from 1 to inf of exp(-x*t)/t^n dt

export - Variable in class SciLib.Util.FrameWin

F

f - Variable in class SciLib.Neuro.Population

f(int) - Method in class SciLib.Neuro.SVM.SVM

compute the decision function without the threshold value b

f(vector) - Method in class SciLib.Neuro.SVM.SVM

compute the decision function without the threshold value b

factln(int) - Static method in class SciLib.Math.SpecFunc

Compute the logarithm of n!

factor(int) - Static method in class SciLib.Math.Num

Generate a vector of prime factors of n.

FailException - Exception in SciLib.Math

This class handles some RunTime problems.

FailException(String) - Constructor for exception SciLib.Math.FailException

FCS(bitStream, bitStream) - Static method in class SciLib.SP.Comm.Control

Generate the FCS of the Cyclic Redundancy Check

fft(complexVector) - Method in class SciLib.SP.Transform.Fourier

The Fast Fourier Transform of a given complex vector f of arbitrary length.

fft(vector) - Method in class SciLib.SP.Transform.Fourier

The Fast Fourier Transform of a given real vector f of arbitrary length.

FFT - Static variable in class SciLib.SP.Transform.Trans

file - Variable in class SciLib.Neuro.SVM.SVM

FileHandler - Interface in SciLib.Neuro.SVM

fileProcessing - Class in SciLib.Util

This class contains some methods to read and write a text file.

fileProcessing() - Constructor for class SciLib.Util.fileProcessing

Filter - Class in SciLib.SP.IP

This class contains some useful methods used in image processing.

Filter() - Constructor for class SciLib.SP.IP.Filter

filter(vector, vector, vector) - Static method in class SciLib.SP.Sp

Filters the data in vector x with the filter described by vectors a and b

filter(double[], double[], double[]) - Static method in class SciLib.SP.Sp

Filters the data in vector x with the filter described by vectors a and b

flimit - Variable in class SciLib.AI.Search.Result

format(int) - Static method in class SciLib.Util.Util

Construct a DecimalFormat with n decimal digits

Fourier - Class in SciLib.SP.Transform

This class contains some methods to handle a Fourier transform of a signal.

Fourier() - Constructor for class SciLib.SP.Transform.Fourier

Make a Fourier Object

FrameWin - Class in SciLib.Util

This class is used to display information, graphics or text.

FrameWin(String) - Constructor for class SciLib.Util.FrameWin

Constructor - Make a display window

FrameWin(String, int, int) - Constructor for class SciLib.Util.FrameWin

Constructor - Make a display window at position x, y

FSK(bitStream, boolean) - Static method in class SciLib.SP.Comm.Encode

Plot the result of modulating by Frequency-shift keying technique.

Function - Interface in SciLib.Math

Function3D - Interface in SciLib.Math

FunctionmD - Interface in SciLib.Math

G

g(double) - Method in interface SciLib.Neuro.Activation

g(double) - Method in class SciLib.Neuro.GaussianRbf

g - Variable in class SciLib.Neuro.Nnet

G - Variable in class SciLib.Neuro.RbfNet

g(double) - Method in class SciLib.Neuro.sgn

g(double) - Method in class SciLib.Neuro.sigmoid

g(double) - Method in class SciLib.Neuro.tanh

G0 - Variable in class SciLib.Neuro.RbfNet

g2D - Static variable in class SciLib.Grp.LSystem

GACV1 - Variable in class SciLib.Neuro.SVM.SVM

gamma(double) - Static method in class SciLib.Math.SpecFunc

Compute the logarithm of the gamma function at a point x gamma(x) = integral from 0 to inf of t^(x-1)exp(-t)dt

gammaln(double) - Static method in class SciLib.Math.SpecFunc

Compute the logarithm of the gamma function at a point x gamma(x) = integral from 0 to inf of t^(x-1)exp(-t)dt

gammap(double, double) - Static method in class SciLib.Math.SpecFunc

Compute the gamma incomplete function P(a,x) gammap(a,x) = 1/gamma(a) * integral from 0 to x of t^(a-1)exp(-t)dt

gammaq(double, double) - Static method in class SciLib.Math.SpecFunc

Compute the gamma incomplete function Q(a,x) = 1 - P(a,x)

Gauss(double[][], int[]) - Static method in class SciLib.Math.LinearSystem

Perform Gaussian elimination with scaled partial pivoting

Gauss(matrix, integerVector) - Static method in class SciLib.Math.LinearSystem

Perform Gaussian elimination with scaled partial pivoting

GaussDist(double, double) - Static method in class SciLib.Math.ST.Stat

Compute the one-dimensional Gaussian distribution with mean mu and standard deviation sigma

gaussian(int) - Static method in class SciLib.Math.Num

Make a vector of length n with the normally distributed double values.

GaussianRbf - Class in SciLib.Neuro

This class defines a Gaussian Radial Basis Function.

GaussianRbf() - Constructor for class SciLib.Neuro.GaussianRbf

GaussianRBFKernel - Class in SciLib.Neuro.SVM

GaussianRBFKernel(double) - Constructor for class SciLib.Neuro.SVM.GaussianRBFKernel

GaussianRBFKernel() - Constructor for class SciLib.Neuro.SVM.GaussianRBFKernel

gausspdf(vector, vector, double) - Static method in class SciLib.Math.ST.Stat

Compute the Gaussian distribution of vector x with mean mu and standard deviation sigma

gcd(int, int) - Static method in class SciLib.Math.math

Compute the greatest common divisor of a and b computed using iterative version of Euclid's algorithm

gDerivative(double) - Method in interface SciLib.Neuro.Activation

gDerivative(double) - Method in class SciLib.Neuro.GaussianRbf

gDerivative(double) - Method in class SciLib.Neuro.sgn

gDerivative(double) - Method in class SciLib.Neuro.sigmoid

gDerivative(double) - Method in class SciLib.Neuro.tanh

gencs(double) - Static method in class SciLib.Grp.LSystem

gencs(int) - Static method in class SciLib.Grp.LSystem

genData(vector, vector) - Static method in class SciLib.Grp.LSystem

GENERALIZATIONRBFNW - Static variable in class SciLib.Neuro.RbfNet

generate(int, int) - Static method in class SciLib.Math.byteVector

create a uniform vector that has elements from an integer "from" to an integer "to".

generate(int, int) - Static method in class SciLib.Math.integerVector

create an integerVector that has elements from an integer "from" to an integer "to".

generate(int, int) - Static method in class SciLib.Math.vector

create a uniform vector that has elements from an integer "from" to an integer "to".

generate(double, double, double) - Static method in class SciLib.Math.vector

Make a uniform vector that has elements from a double "from" to a double "to", the values are increased by a value "inc" .

generate() - Method in class SciLib.Neuro.Layer

generate the parameters of the layer

generate() - Method in class SciLib.Neuro.Nnet

Initialize the parameters of the neural network

generateByteVector(String) - Static method in class SciLib.Util.Util

store data from a string in an integer array

generateCenters(int, int[]) - Method in class SciLib.Neuro.RbfNet

generate centers for a radial basis function network

generateComplexVector(String) - Static method in class SciLib.Util.Util

store data from a string in an double nx2 array of type complex

generateG0() - Method in class SciLib.Neuro.RbfNet

Generate the matrix G0

generateGreenMatrix() - Method in class SciLib.Neuro.RbfNet

Generate the Green matrix G

generateIndex(vector) - Static method in class SciLib.Math.integerVector

create integerVector that stores the indexes of the nonzero elements of a sparse vector .

generateIndex(integerVector) - Static method in class SciLib.Math.integerVector

create integerVector that stores the indexes of the nonzero elements of a sparse vector .

generateIndex(integerVector, vector) - Static method in class SciLib.Math.integerVector

create integerVector that stores the indexes of the nonzero elements of a sparse vector and stores them in val.

generateIndex(integerVector, integerVector) - Static method in class SciLib.Math.integerVector

create integerVector that stores the indexes of the nonzero elements of a sparse integerVector and stores them in val.

generateIndex(vector, vector) - Static method in class SciLib.Math.integerVector

create integerVector that stores the indexes of the nonzero elements of a sparse vector and stores them in val.

generateInitialState() - Method in interface SciLib.AI.Search.Application

generateIntegerVector(String) - Static method in class SciLib.Util.Util

store data from a string in an integer array

generateKCenters(int[]) - Method in class SciLib.Neuro.RbfNet

Generate k fixed centers

generateRandomlyCenters() - Method in class SciLib.Neuro.RbfNet

Genrate k centers randomly

generateVector(String) - Static method in class SciLib.Util.Util

store data from a string in an array of type double

genFunction(FunctionmD) - Method in class SciLib.Neuro.Population

generate Problem Function

genstring(int, String, String[], String) - Static method in class SciLib.Grp.LSystem

genX() - Method in interface SciLib.Math.Function

genX() - Method in interface SciLib.Math.Function3D

genY() - Method in interface SciLib.Math.Function

genY() - Method in interface SciLib.Math.Function3D

genZ() - Method in interface SciLib.Math.Function3D

getAction() - Method in class SciLib.AI.Search.SearchNode

get action

getAlpha() - Method in class SciLib.Neuro.SVM.SVM

get alpha vector

getAngle() - Method in class SciLib.Grp.Graphics3D

get the view angle

getAt() - Method in class SciLib.Grp.Graphics3D

get the at point

getAudioData(int, int) - Method in class SciLib.SP.Sound

get audio Data from index i to index j

getAudioData(int) - Method in class SciLib.SP.Sound

get n point audio Data from the beginning

getAudioData() - Method in class SciLib.SP.Sound

get the whole audio Data

getB() - Method in class SciLib.Neuro.SVM.SVM

get threshold value b

getBestGen() - Method in class SciLib.Neuro.Population

get the best generation vector

getBid() - Method in class SciLib.AI.Auction.Bid

get the bitStream

getBidTree() - Method in class SciLib.AI.Auction.WDA

get the bid tree

getBinaryPattern(int) - Method in interface SciLib.Neuro.SVM.FileHandler

getBinaryPattern(int) - Method in class SciLib.Neuro.SVM.SVMFileHandler

getBinaryPattern(int) - Method in class SciLib.Neuro.SVM.SVMReadBinaryData

getBinaryPattern(int) - Method in class SciLib.Neuro.SVM.SVMReadBinIntegerData

getBits() - Method in class SciLib.Math.bitStream

get the booleanVector of the bitStream

getBits(byte, int, int) - Static method in class SciLib.Math.bitStream

get n bits in a byte from index the i to the index j

getBSVM() - Method in class SciLib.Neuro.SVM.DAGNode

getByteData() - Method in class SciLib.SP.Sound

get audio Data

getC() - Method in class SciLib.Neuro.SVM.SVM

get the value of C

getC1() - Method in class SciLib.Neuro.SVM.BSVM

getC2() - Method in class SciLib.Neuro.SVM.BSVM

getChromosome() - Method in class SciLib.Neuro.Population

get the chromosome matrix

getColors(String) - Method in class SciLib.SP.IP.Picture

get color components of a picture

getColumn(int) - Method in class SciLib.Math.complexMatrix

return a complexVector that contains all elements of the jth column.

getColumn(int) - Method in class SciLib.Math.matrix

return a vector that contains all elements of the jth column.

getColumns() - Method in class SciLib.Math.complexMatrix

return the number of columns.

getColumns() - Method in class SciLib.Math.matrix

return the number of columns.

getColumns() - Method in interface SciLib.Neuro.SVM.FileHandler

getColumns() - Method in class SciLib.Neuro.SVM.SVMFileHandler

getData() - Method in class SciLib.AI.Search.Node

get data object

getData() - Method in class SciLib.Math.booleanVector

Make an boolean array that contains all data of the vector.

getData() - Method in class SciLib.Math.byteVector

Make an intger array that contains all data of the vector.

getData() - Method in class SciLib.Math.complexMatrix

return a two-dimensional array that contains all elements of matrix.

getData() - Method in class SciLib.Math.integerVector

Make an intger array that contains all data of the vector.

getData() - Method in class SciLib.Math.matrix

return a two-dimensional array that contains all elements of matrix.

getData() - Method in class SciLib.Math.vector

Make an array of type double that contains all data of the vector.

getDepth() - Method in class SciLib.AI.Auction.BidTree

get depth

getDepth() - Method in class SciLib.AI.Search.SearchNode

get depth

getEpsi() - Method in class SciLib.Neuro.SVM.SVM

get the epsilon parameter of SVM

getError() - Method in class SciLib.Neuro.Layer

get error vector

getErrorThreshold() - Method in class SciLib.Neuro.Nnet

get error Threshold

getFile() - Method in class SciLib.Neuro.SVM.SVM

get the object that handles data files

getFitness() - Method in class SciLib.Neuro.Population

get the fitness vector

getFlimit() - Method in class SciLib.AI.Search.Result

getFrequency() - Method in class SciLib.SP.Wave

get Frequency

getFrom() - Method in class SciLib.Grp.Graphics3D

get the from point

getGreenMatrix() - Method in class SciLib.Neuro.RbfNet

get Green matrix G

getHeight() - Method in class SciLib.SP.IP.Picture

get height

getHiddenLayers() - Method in class SciLib.Neuro.Nnet

get hidden layers

gethiddenSize() - Method in class SciLib.Neuro.Nnet

get sizes of the hidden layers

getIdNo() - Method in interface SciLib.Neuro.SVM.FileHandler

getIdNo() - Method in class SciLib.Neuro.SVM.SVMFileHandler

getImage() - Method in class SciLib.SP.IP.Picture

get image

getInput() - Method in class SciLib.Neuro.Layer

get input vector

getInputSize() - Method in class SciLib.Neuro.Layer

get input size

getInputSize() - Method in class SciLib.Neuro.Nnet

get input size

getIntegerPattern(int) - Method in interface SciLib.Neuro.SVM.FileHandler

getIntegerPattern(int) - Method in class SciLib.Neuro.SVM.SVMFileHandler

getIntensities() - Method in class SciLib.SP.IP.Picture

get intensities

getIntensity(int) - Method in class SciLib.SP.IP.Picture

get Intensity

getKClassifier(int) - Method in class SciLib.Neuro.SVM.DAGSVM

Get a specific classifier

getKClassifier(int) - Method in class SciLib.Neuro.SVM.OAASVM

Get a specific classifier

getKClassifier(int) - Method in class SciLib.Neuro.SVM.OAOSVM

Get a specific classifier

getKernel() - Method in class SciLib.Neuro.SVM.SVM

get kernel K

getLastDelteMatrix() - Method in class SciLib.Neuro.Layer

get last delta matrix

getLearningRate() - Method in class SciLib.Neuro.Nnet

get learning rate

getLeft() - Method in class SciLib.AI.Search.binNode

get the left node

getLimit() - Method in class SciLib.AI.Search.Scheduler

get temparature

getMomentumPar() - Method in class SciLib.Neuro.Nnet

get momentum

getNoOfSV() - Method in class SciLib.Neuro.SVM.SVM

get the number of SVs

getnumberOfHiddenLayers() - Method in class SciLib.Neuro.Nnet

get number of hidden layers

getNumberOfPatterns() - Method in interface SciLib.Neuro.SVM.FileHandler

getNumberOfPatterns() - Method in class SciLib.Neuro.SVM.SVMFileHandler

getNumberOfTestPatterns() - Method in class SciLib.Neuro.Nnet

get number of testing patterns

getNumberOfTrainingPatterns() - Method in class SciLib.Neuro.Nnet

get number of training patterns

getNumGen() - Method in class SciLib.Neuro.Population

get tne maximum number of generations

getNumVar() - Method in class SciLib.Neuro.Population

get tne number of variables

getOutput() - Method in class SciLib.Neuro.Layer

get output vector

getOutputLayer() - Method in class SciLib.Neuro.Nnet

get the output layer

getOutputSize() - Method in class SciLib.Neuro.Layer

get output size

getOutputSize() - Method in class SciLib.Neuro.Nnet

get output size

getParameter() - Method in interface SciLib.Neuro.SVM.Kernel

getParameter() - Method in class SciLib.Neuro.SVM.KernelHandler

getParent() - Method in class SciLib.AI.Search.SearchNode

get the parent node

getPathCost() - Method in class SciLib.AI.Search.SearchNode

get pathCost

getPathFromRoot() - Method in class SciLib.AI.Search.SearchNode

get the path from the root to this node

getPattern(int) - Method in interface SciLib.Neuro.SVM.FileHandler

getPattern(int) - Method in class SciLib.Neuro.SVM.SVMFileHandler

getPattern(int) - Method in class SciLib.Neuro.SVM.SVMReadBinDoubleData

getPatterns() - Method in class SciLib.Neuro.SVM.SVM

get patterns matrix when data is not sparse

getPixel(int) - Method in class SciLib.SP.IP.Picture

get pixel at index i

getPixel(int, int) - Method in class SciLib.SP.IP.Picture

gets a pixel at (x,y)

getPixels() - Method in class SciLib.SP.IP.Picture

get pixels

getpMutation() - Method in class SciLib.Neuro.Population

get the probability of mutation

getpopSize() - Method in class SciLib.Neuro.Population

get tne population size

getpxOver() - Method in class SciLib.Neuro.Population

get the probability of crossover

getReadFileName(Frame) - Static method in class SciLib.Util.fileProcessing

get the file name for reading from the FileDialog

getResult() - Method in class SciLib.AI.Search.Result

getRight() - Method in class SciLib.AI.Search.binNode

get the right node

getRoot() - Method in class SciLib.AI.Auction.BidTree

get root

getRounds() - Method in class SciLib.AI.Search.TreeSearch

get rounds

getRow(int) - Method in class SciLib.Math.complexMatrix

return a complexVector that contains all elements of the ith row.

getRow(int) - Method in class SciLib.Math.matrix

return a vector that contains all elements of the ith row.

getRows() - Method in class SciLib.Math.complexMatrix

return the number of rows.

getRows() - Method in class SciLib.Math.matrix

return the number of rows.

getRows() - Method in interface SciLib.Neuro.SVM.FileHandler

getRows() - Method in class SciLib.Neuro.SVM.SVMFileHandler

getSampleRate() - Method in class SciLib.SP.Sound

get sample rate

getScale() - Method in class SciLib.Grp.Graphics3D

get scale factor

getSize() - Static method in class SciLib.Grp.LSystem

getSizeOfPatterns() - Method in interface SciLib.Neuro.SVM.FileHandler

getSizeOfPatterns() - Method in class SciLib.Neuro.SVM.SVMFileHandler

getStepCost() - Method in class SciLib.AI.Search.SearchNode

get stepCost

getSteps() - Method in class SciLib.AI.Search.TreeSearch

get steps

getSV() - Method in class SciLib.Neuro.SVM.SVM

get support vectors

getSVIndex() - Method in class SciLib.Neuro.SVM.SVM

get indices of SVs

getTarget(int) - Method in interface SciLib.Neuro.SVM.FileHandler

getTarget(int) - Method in class SciLib.Neuro.SVM.SVMFileHandler

getTarget(int) - Method in class SciLib.Neuro.SVM.SVMReadBinaryData

getTargets() - Method in class SciLib.Neuro.SVM.SVM

get targets vector of training data

getTemperature(int) - Method in class SciLib.AI.Search.Scheduler

get temparature

getTheBest() - Method in class SciLib.Neuro.Population

get theBest value

getTitle() - Method in class SciLib.Grp.Grp2DPanel

get the title

getTitle() - Method in class SciLib.Math.bitStream

get the title of the bitStream

getTolerance() - Method in class SciLib.Neuro.SVM.SVM

get the tolerance of SVM

getTrainingData() - Method in class SciLib.Neuro.Nnet

get Training Data

getTrainingDesiredOutput() - Method in class SciLib.Neuro.Nnet

get Training Desired Output

getType() - Method in class SciLib.Neuro.RbfNet

Get the radial basis function network type

getUp() - Method in class SciLib.Grp.Graphics3D

get the up point

getValue() - Method in class SciLib.AI.Auction.Bid

get the bid value

getView2D() - Method in class SciLib.Grp.Graphics2D

Return the view matrix.

getView3D() - Method in class SciLib.Grp.Graphics3D

Return the view matrix.

getWeight() - Method in class SciLib.Neuro.Layer

get weight matrix

getWidth() - Method in class SciLib.SP.IP.Picture

get width

getWriteFileName(Frame) - Static method in class SciLib.Util.fileProcessing

get the file name for writing from the FileDialog

getY() - Method in class SciLib.SP.Transform.Fourier

Get a complex vector that is the Fourier transform of a given signal.

goal - Variable in class SciLib.AI.Search.TreeSearch

Graphics2D - Class in SciLib.Grp

This class contains some methods to draw a 2D graphics.

Graphics2D() - Constructor for class SciLib.Grp.Graphics2D

Graphics3D - Class in SciLib.Grp

This class contains some methods to draw a 3D graphics.

Graphics3D() - Constructor for class SciLib.Grp.Graphics3D

Constructor, set view to default

GrayCode(int) - Static method in class SciLib.Math.math

Compute the Gray code of an integer n

GrayCodeInv(int) - Static method in class SciLib.Math.math

Compute the inverse of Gray code n

grid(Graphics, double, double, double, double, double, double) - Method in class SciLib.Grp.Graphics2D

Draw a 2D grid coordinate system in a frame window.

grid(Graphics, double, double, double, double, double, double) - Method in class SciLib.Grp.Graphics3D

Draw the coordinate system

Grp2DPanel - Class in SciLib.Grp

This class allows users draw a 2D graphics in a JPanel.

Grp2DPanel(vector, vector) - Constructor for class SciLib.Grp.Grp2DPanel

Generate a grp2D Panel with two basic vectors x, y

Grp2DPanel(vector, vector, Color, String, boolean) - Constructor for class SciLib.Grp.Grp2DPanel

Generate a grp2D Panel with some specified parameters

Grp2DPanel(Function) - Constructor for class SciLib.Grp.Grp2DPanel

Generate a grp2D panel for a specified function

Grp2DPanel(Function, Color, boolean) - Constructor for class SciLib.Grp.Grp2DPanel

Generate a grp2D panel for a specified function with some specified parameters

Grp2DPanel(bitStream, Color, String) - Constructor for class SciLib.Grp.Grp2DPanel

Generate a grp2D panel for drawing a bitStream

H

halfGrid(Graphics, double, double, double, double, double, double) - Method in class SciLib.Grp.Graphics2D

Draw a 2D halfGrid coordinate system in a frame window.

hamming(int) - Static method in class SciLib.SP.WindowFunction

Hamming window with n points

hanning(int) - Static method in class SciLib.SP.WindowFunction

Hanning window with n points

height - Static variable in class SciLib.Grp.Graphics2D

height - Static variable in class SciLib.Grp.LSystem

height - Variable in class SciLib.SP.IP.Picture

hF() - Method in class SciLib.AI.Auction.BidTree

get the heuristic function value at the root

hF(SearchNode) - Method in class SciLib.AI.Auction.WDA

compute the heuristic function at a node

hF(SearchNode, SearchNode) - Method in interface SciLib.AI.Search.Application

hidden - Variable in class SciLib.Neuro.Nnet

hiddenSize - Variable in class SciLib.Neuro.Nnet

Hilbert(Color) - Static method in class SciLib.Grp.LSystem

Hilbert() - Static method in class SciLib.Grp.LSystem

HillClimbing(Application) - Method in class SciLib.AI.Search.TreeSearch

implements Hill-Climbing algorithm

HillClimbing(Application, int) - Method in class SciLib.AI.Search.TreeSearch

implements Hill-Climbing algorithm

hnn - Variable in class SciLib.Neuro.HrbfNet

HrbfNet - Class in SciLib.Neuro

This class defines A Hierachical Radial Basis Function Network.

HrbfNet(RbfNet) - Constructor for class SciLib.Neuro.HrbfNet

Make a hrbf network based on the start rbf network

I

i_low - Variable in class SciLib.Neuro.SVM.SVM

i_up - Variable in class SciLib.Neuro.SVM.SVM

IDAStar() - Method in class SciLib.AI.Auction.WDA

implements the winner determination algorithm

IDAStar(Application, boolean) - Method in class SciLib.AI.Search.TreeSearch

implements IDA*-search algorithm

identity(int) - Static method in class SciLib.Math.matrix

Make the n x n identity mattrix

IDENTITY - Static variable in class SciLib.SP.Transform.Trans

idNo - Variable in class SciLib.Neuro.SVM.SVMFileHandler

IDS(Application, boolean) - Method in class SciLib.AI.Search.TreeSearch

implements iterative-deepning search algorithm

ifft(complexVector) - Method in class SciLib.SP.Transform.Fourier

The Inverse Fourier Transform of a given complex vector.

ifft() - Method in class SciLib.SP.Transform.Fourier

The Inverse Fourier Transform of the complex vector that is contained in the Fourier object.

iHistogram() - Method in class SciLib.SP.IP.Picture

intenisty histogram

image - Variable in class SciLib.SP.IP.Picture

imaginary() - Method in class SciLib.Math.complex

Get the imaginary part of this complex number.

imaginary() - Method in class SciLib.Math.complexVector

Make a real vector with the imaginary parts of all elements in the vector.

imaginary() - Method in class SciLib.SP.Transform.Fourier

Get the imaginary part of the Fourier transform of a given signal.

imp(int, int) - Static method in class SciLib.Math.Num

Make an impulse signal of length "length" at position "pos"

in - Variable in class SciLib.Neuro.Layer

init(int, String, String, String[], double) - Static method in class SciLib.Grp.LSystem

initialize() - Method in class SciLib.Neuro.Population

Initialize the population

initialize(double, double, int) - Method in class SciLib.Neuro.RbfNet

initialize a radial basis function network

initialize(double, double, int, Activation) - Method in class SciLib.Neuro.RbfNet

initialize a radial basis function network

initialize(FileHandler) - Method in class SciLib.Neuro.SVM.SVM

initialState(SearchNode) - Method in class SciLib.AI.Search.TreeSearch

set start node

initiateParameter(double, double, int, int, vector, vector) - Method in class SciLib.Neuro.SVM.SVM

initWeight(double, double) - Method in class SciLib.Neuro.Layer

Initialize the weight matrix with random values between a and b

insert(Bid, binNode) - Method in class SciLib.AI.Auction.BidTree

insert a node n after the node p in the BidTree

insert(Bid) - Method in class SciLib.AI.Auction.BidTree

inSize - Variable in class SciLib.Neuro.Layer

inSize - Variable in class SciLib.Neuro.Nnet

integerVector - Class in SciLib.Math

This class defines a dynamic vector of type intger.

integerVector() - Constructor for class SciLib.Math.integerVector

Allocates an empty vector.

integerVector(int) - Constructor for class SciLib.Math.integerVector

Allocates a vector of size n with initiařized values 0.

integerVector(int[]) - Constructor for class SciLib.Math.integerVector

Allocates a vector from the array vec.

integerVector(integerVector) - Constructor for class SciLib.Math.integerVector

Make a copy of the vector x.

intensities - Variable in class SciLib.SP.IP.Picture

interpolation(double) - Method in class SciLib.Neuro.RbfNet

Interpolation method

INTERPOLATIONRBFNW - Static variable in class SciLib.Neuro.RbfNet

inverseDirectSeq(bitStream, bitStream) - Static method in class SciLib.SP.Comm.Encode

Recover data from a direct sequence signal.

IP - Class in SciLib.SP.IP

This class contains some useful methods used in image processing.

IP() - Constructor for class SciLib.SP.IP.IP

isBinary() - Method in class SciLib.Neuro.SVM.SVM

check if data is binary

isElement(LinkedList<SearchNode>, SearchNode, Application) - Method in class SciLib.AI.Search.TreeSearch

check if a node belongs to a list of nodes

isEqual(SearchNode, SearchNode) - Method in interface SciLib.AI.Search.Application

isEqual(SearchNode, Application) - Method in class SciLib.AI.Search.SearchNode

check if this node is the same as the node a

isEqual(Object, Object) - Method in interface SciLib.Util.Comparison

isInI0I1I2(int) - Method in class SciLib.Neuro.SVM.SVM

check if index i is in Iup or in Ilow

isInI0I3I4(int) - Method in class SciLib.Neuro.SVM.SVM

isInI1I2(int) - Method in class SciLib.Neuro.SVM.SVM

isInI3I4(int) - Method in class SciLib.Neuro.SVM.SVM

isPrime(int) - Static method in class SciLib.Math.math

Check if an integer number x is a prime number

isRootNode() - Method in class SciLib.AI.Search.SearchNode

check if the node is the root

isSparse() - Method in class SciLib.Neuro.SVM.SVM

check if data is sparse

J

JHB - Variable in class SciLib.Neuro.SVM.SVM

K

K - Variable in class SciLib.Neuro.SVM.SVM

kernel(matrix, int, int) - Method in class SciLib.Neuro.SVM.GaussianRBFKernel

kernel(matrix, int, vector) - Method in class SciLib.Neuro.SVM.GaussianRBFKernel

Kernel - Interface in SciLib.Neuro.SVM

kernel(matrix, int, int) - Method in interface SciLib.Neuro.SVM.Kernel

kernel(matrix, int, vector) - Method in interface SciLib.Neuro.SVM.Kernel

kernel(matrix, int, int) - Method in class SciLib.Neuro.SVM.KernelHandler

kernel(matrix, int, vector) - Method in class SciLib.Neuro.SVM.KernelHandler

kernel(matrix, int, int) - Method in class SciLib.Neuro.SVM.LinearKernel

kernel(matrix, int, vector) - Method in class SciLib.Neuro.SVM.LinearKernel

kernel(matrix, int, int) - Method in class SciLib.Neuro.SVM.PolynomialKernel

kernel(matrix, int, vector) - Method in class SciLib.Neuro.SVM.PolynomialKernel

kernel(matrix, int, int) - Method in class SciLib.Neuro.SVM.SigmoidKernel

kernel(matrix, int, vector) - Method in class SciLib.Neuro.SVM.SigmoidKernel

KernelHandler - Class in SciLib.Neuro.SVM

KernelHandler(double) - Constructor for class SciLib.Neuro.SVM.KernelHandler

kernelType() - Method in class SciLib.Neuro.SVM.GaussianRBFKernel

kernelType() - Method in interface SciLib.Neuro.SVM.Kernel

kernelType() - Method in class SciLib.Neuro.SVM.KernelHandler

kernelType() - Method in class SciLib.Neuro.SVM.LinearKernel

kernelType() - Method in class SciLib.Neuro.SVM.PolynomialKernel

kernelType() - Method in class SciLib.Neuro.SVM.SigmoidKernel

kMeanClustering(int, matrix, matrix) - Static method in class SciLib.Neuro.Classify

Compute a matrix that contains k clustering patterns

Koch(Color) - Static method in class SciLib.Grp.LSystem

Koch() - Static method in class SciLib.Grp.LSystem

L

lagrangeInterpolation(double[], double[], double) - Static method in class SciLib.Math.nonLinear

Interpoaltion by Lagrange method

lambda - Variable in class SciLib.Neuro.RbfNet

lambda - Variable in class SciLib.Neuro.SVM.KernelHandler

lastDelta - Variable in class SciLib.Neuro.Layer

Layer - Class in SciLib.Neuro

This class defines a layer in a neural network.

Layer() - Constructor for class SciLib.Neuro.Layer

Make an empty layer

Layer(int, int) - Constructor for class SciLib.Neuro.Layer

Make a nxm layer

lcm(int, int) - Static method in class SciLib.Math.math

Compute the least common multiple of a and b

learningRate - Variable in class SciLib.Neuro.Nnet

left - Variable in class SciLib.AI.Search.binNode

left() - Method in class SciLib.Neuro.SVM.DAGNode

leftShift(int) - Method in class SciLib.Math.bitStream

Left-Shift n bits

LinearKernel - Class in SciLib.Neuro.SVM

LinearKernel(double) - Constructor for class SciLib.Neuro.SVM.LinearKernel

LinearSystem - Class in SciLib.Math

This class contains some methods to handle the linear system problems

LinearSystem() - Constructor for class SciLib.Math.LinearSystem

lineTo(Graphics, double, double) - Method in class SciLib.Grp.Graphics2D

draw line from the current position to a point (x,y)

lineTo(Graphics, double, double, double) - Method in class SciLib.Grp.Graphics3D

draw line from the current position to a point (x,y, z)

linspace(double, double) - Static method in class SciLib.Math.vector

Make a uniform vector of the default size 100 whose elements have values from a double "from" to a double "to".

linspace(double, double, int) - Static method in class SciLib.Math.vector

Make a uniform vector of the size n whose elements have values from a double "from" to a double "to".

load(String) - Method in class SciLib.Math.complexVector

Load data from a file to a complex vector.

load(String) - Method in class SciLib.Math.vector

Load data from a file to a vector.

load(String, Component) - Static method in class SciLib.SP.IP.Filter

load an image from a file with a media tracker in a component c

load(Image, Component) - Static method in class SciLib.SP.IP.Filter

load an image with a media tracker in a component c

load(String, Component) - Static method in class SciLib.SP.IP.IP

load an image from a file with a media tracker in a component c

load(Image, Component) - Static method in class SciLib.SP.IP.IP

load an image with a media tracker in a component c

log(vector) - Static method in class SciLib.Math.Num

Compute log(x) for all elements x in the vector v

LOG - Static variable in class SciLib.SP.Transform.Trans

log(vector) - Static method in class SciLib.SP.Transform.Trans

Take logarithm of a vector that has positive elements

log10(double) - Static method in class SciLib.Math.math

Compute log10(x)

log10(vector) - Static method in class SciLib.Math.Num

Compute log10(x) for all elements x in the vector v

log2(double) - Static method in class SciLib.Math.math

Compute log2(x)

log2(vector) - Static method in class SciLib.Math.Num

Compute log2(x) for all elements x in the vector v

LOOValidation(int, double, int, double, int, double, double) - Method in class SciLib.Neuro.SVM.BSVM

Leave-one-out-validation

LOOValidation(int, double[], double[], double, double) - Method in class SciLib.Neuro.SVM.BSVM

LOOValidation(int, double, int, double, int, double, double) - Method in class SciLib.Neuro.SVM.DAGSVM

LOO-validation

LOOValidation(int, double, int, double, int, double, double) - Method in class SciLib.Neuro.SVM.OAASVM

LOO-validation

LOOValidation(int, double, int, double, int, double, double) - Method in class SciLib.Neuro.SVM.OAOSVM

LOO-validation

LOOValidation(int, double, int, double, int, double, double) - Method in interface SciLib.Neuro.SVM.SMO

LOOValidation(int, double[], double[], double, double) - Method in interface SciLib.Neuro.SVM.SMO

LOOValidation(int, double, int, double, int, double, double) - Method in class SciLib.Neuro.SVM.SVM

LOOValidation(int, double[], double[], double, double) - Method in class SciLib.Neuro.SVM.SVM

LSystem - Class in SciLib.Grp

LSystem() - Constructor for class SciLib.Grp.LSystem

LSystem(double) - Constructor for class SciLib.Grp.LSystem

M

M - Variable in class SciLib.Neuro.SVM.SVM

Madaline - Class in SciLib.Neuro

This class defines A Madeline Network.

Madaline(int, int, Activation) - Constructor for class SciLib.Neuro.Madaline

Make A Madeline network with specific size and activation function

magnitude() - Method in class SciLib.Math.complex

Compute the magnitude (the absolute value) of this complex number.

magnitude() - Method in class SciLib.Math.complexVector

Make a real vector that contains the absolute values of all elements in the vector.

magnitude() - Method in class SciLib.SP.Transform.Fourier

Get the magnitude of the Fourier transform of a given signal.

makeAM() - Method in class SciLib.SP.Wave

make AM signal

makeDesiredOutputMatrix() - Method in class SciLib.Neuro.Nnet

make a Desired Output matrix handles the case of multiple output

makeDesiredOutputMatrix(int) - Method in class SciLib.Neuro.Nnet

make a Desired Output matrix handles the case of multiple output

makeFM() - Method in class SciLib.SP.Wave

make FM signal

makeHistogram(int[]) - Static method in class SciLib.SP.IP.Picture

make histogram

makePicture(int, int, int[]) - Method in class SciLib.SP.IP.Picture

make a picture from an array of pixels

makeSawWave() - Method in class SciLib.SP.Wave

make a Saw wave

makeSineWave() - Method in class SciLib.SP.Wave

make a sine wave

makeSquareWave() - Method in class SciLib.SP.Wave

make a square wave

makeTargets(int, integerVector) - Static method in class SciLib.Neuro.SVM.SVM

makeTrainingDesiredOutputVector(int) - Method in class SciLib.Neuro.RbfNet

make a current training desired output vector

makeTrainingSet(integerVector, RbfNet, RbfNet, int) - Method in class SciLib.Neuro.HrbfNet

Make a training data set

makeTrainingSet(int, int) - Method in class SciLib.Neuro.Nnet

makeTriangleWave() - Method in class SciLib.SP.Wave

make a triangle wave

Manchester(bitStream, boolean) - Static method in class SciLib.SP.Comm.Encode

Generate a signal from a bitStream data using Manchester technique.

ManchesterData(int[]) - Static method in class SciLib.SP.Comm.Encode

Recover digital data from Manchester signal.

math - Class in SciLib.Math

This class contains some useful computation methods.

math() - Constructor for class SciLib.Math.math

matrix - Class in SciLib.Math

This class contains some methods to handle the matrix problems

matrix() - Constructor for class SciLib.Math.matrix

Allocates a 0x0 matrix.

matrix(int, int) - Constructor for class SciLib.Math.matrix

Allocates a m x n matrix.

matrix(double[][]) - Constructor for class SciLib.Math.matrix

Make a matrix from a two-dimensional array.

matrix(matrix) - Constructor for class SciLib.Math.matrix

Make a copy of a matrix ma.

max() - Method in class SciLib.Math.byteVector

return the maximum value of the vector.

max() - Method in class SciLib.Math.integerVector

return the maximum value of the vector.

max() - Method in class SciLib.Math.matrix

Return the maximum value of the matrix

max() - Method in class SciLib.Math.vector

return the maximum value of the vector.

max() - Method in class SciLib.SP.Sound

compute the maximum signal

mean(vector) - Static method in class SciLib.Math.ST.Stat

Compute the mean of vector x

meanAbsoluteError(vector) - Static method in class SciLib.Math.ST.timeSeries

Compute mean absolute error

meanCorrected(vector) - Static method in class SciLib.Math.ST.Stat

Transform the vector x so that it has zero mean

meanError(vector) - Static method in class SciLib.Math.ST.timeSeries

Compute mean error

meanSquaredError(vector) - Static method in class SciLib.Math.ST.timeSeries

Compute mean squared error

min() - Method in class SciLib.Math.byteVector

return the minimum value of the vector.

min() - Method in class SciLib.Math.integerVector

return the minimum value of the vector.

min() - Method in class SciLib.Math.matrix

Return the minimum value of the matrix

min() - Method in class SciLib.Math.vector

return the minimum value of the vector.

min() - Method in class SciLib.SP.Sound

compute the minimum signal

minus(complex) - Method in class SciLib.Math.complex

minus this complex number with the complex number y

minus(complex, complex) - Static method in class SciLib.Math.complex

minus two complex number x, y.

minus(complexMatrix) - Method in class SciLib.Math.complexMatrix

minus this matrix with the matrix x and store the result in this matrix

minus(complexMatrix, complexMatrix) - Static method in class SciLib.Math.complexMatrix

minus two complexMatrix x, y.

minus(integerVector) - Method in class SciLib.Math.integerVector

minus this vector with the vector x and store the result in this vector.

minus(integerVector, integerVector) - Static method in class SciLib.Math.integerVector

minus two vector x, y.

minus(matrix) - Method in class SciLib.Math.matrix

minus this matrix with the matrix x and store the result in this matrix

minus(matrix, matrix) - Static method in class SciLib.Math.matrix

minus two matrices x, y.

minus(quaternion, quaternion) - Static method in class SciLib.Math.quaternion

minus 2 quaternions

minus(rPoint, rPoint) - Static method in class SciLib.Math.rPoint

minus 2 3D vectors

minus(vector) - Method in class SciLib.Math.vector

minus this vector with the vector x and store the result in this vector.

minus(vector, vector) - Static method in class SciLib.Math.vector

minus two vector x, y.

misclassified(matrix, integerVector) - Method in class SciLib.Neuro.SVM.BSVM

misclassified(matrix, integerVector) - Method in interface SciLib.Neuro.SVM.SMO

misclassified(matrix, integerVector) - Method in class SciLib.Neuro.SVM.SVM

momentum - Variable in class SciLib.Neuro.Nnet

moveTo(double, double) - Method in class SciLib.Grp.Graphics2D

move pen to a real position (x, y)

moveTo(double, double, double) - Method in class SciLib.Grp.Graphics3D

move pen to a real position (x, y, z)

muCode(double, int) - Static method in class SciLib.SP.Sp

Compute the muLaw code of a double x, -1 <= x <= 1

muCode(vector, int) - Static method in class SciLib.SP.Sp

Compute the muLaw code of a double x, 0 <= x <= 1

muLawCode(short[]) - Static method in class SciLib.SP.muLawCodec

Produce mu-law encoded audio samples from an linerly encoded array of 16 bit signed integers

muLawCode(double[]) - Static method in class SciLib.SP.muLawCodec

Produce mu-law encoded audio samples from an linerly encoded array of 64 bit signed signed floating point numbers ranged from -1 to 1

muLawCodec - Class in SciLib.SP

This class contains some useful methods to handle audio file.

muLawCodec() - Constructor for class SciLib.SP.muLawCodec

mulawToDouble(byte) - Static method in class SciLib.SP.muLawCodec

Convert a byte s in the muLawCode to a double

mulawToLinear(byte) - Static method in class SciLib.SP.muLawCodec

Convert a byte s in the muLawCode to an integer

mult(complex, complex) - Static method in class SciLib.Math.complex

make a complex number z that is a multiplication of two complex numbers x, y.

mult(complex) - Method in class SciLib.Math.complex

make a complex number z that is a multiplication of this complex number and the complex number x.

mult(matrix, matrix) - Static method in class SciLib.Math.matrix

Make a matrix A = x*y

mult(matrix, vector) - Static method in class SciLib.Math.matrix

compute Ax

mult(quaternion, quaternion) - Static method in class SciLib.Math.quaternion

multiplication of 2 quaternions

mult(vector) - Method in class SciLib.Math.vector

Compute the scalar product of this vector with the vector x.

mult(vector, vector) - Static method in class SciLib.Math.vector

Compute the scalar product of two vectors with x, y.

mutate() - Method in class SciLib.Neuro.Population

Mutation: Random uniform mutation.

N

N - Variable in class SciLib.Neuro.SVM.SVM

variables

N - Variable in class SciLib.Neuro.SVM.SVMFileHandler

nDir - Static variable in class SciLib.Grp.LSystem

nearest(vector, matrix) - Static method in class SciLib.Neuro.Classify

Find the row index of the matrix m that has minimum distance to x.

nearestClassify(vector) - Static method in class SciLib.Neuro.Classify

Classify a pattern y by the nearest method

negative() - Method in class SciLib.SP.IP.Picture

make a negative picture

negativeFilter(Image, Component) - Static method in class SciLib.SP.IP.Filter

negative filter an image with a media tracker in a component c

newton(Function, Function, double, int) - Static method in class SciLib.Math.nonLinear

Newton method for solving nonlinear equation

newton(Function, Function, double, double) - Static method in class SciLib.Math.nonLinear

Newton method for solving nonlinear equation

nextGeneration() - Method in class SciLib.Neuro.Population

generate next generation

nextPrime(int) - Static method in class SciLib.Math.math

Compute the least prime number > x

Nnet - Class in SciLib.Neuro

This class defines the base class for all Neural Networks.

Nnet() - Constructor for class SciLib.Neuro.Nnet

Make an empty neural network

Nnet(int, int, int) - Constructor for class SciLib.Neuro.Nnet

Make a neural network with a specific number of input, output and hidden size

Nnet(int, int, int, integerVector) - Constructor for class SciLib.Neuro.Nnet

Make a neural network with a specific number of input, output and hidden size

Nnet(int, int, int, integerVector, Activation) - Constructor for class SciLib.Neuro.Nnet

Make a neural network with a specific number of input, output, hidden layer and activation function

Node - Class in SciLib.AI.Search

An abstract class that define a generic node for a search tree or search graph.

Node() - Constructor for class SciLib.AI.Search.Node

Node(Object) - Constructor for class SciLib.AI.Search.Node

Noise - Class in SciLib.SP.Comm

This class contains some useful methods to generate noise.

Noise() - Constructor for class SciLib.SP.Comm.Noise

nonLinear - Class in SciLib.Math

This class contains some nolinear methods

nonLinear() - Constructor for class SciLib.Math.nonLinear

norm() - Method in class SciLib.Math.quaternion

the square norm of this quaternion

norm() - Method in class SciLib.Math.rPoint

compute the norm of a 3D vector

norm() - Method in class SciLib.Math.vector

Compute the norm of the vector.

normalize() - Method in class SciLib.Math.vector

normalize the vector so that its norm is equal to 1.

normalize() - Method in class SciLib.SP.Sound

normalize the audio signal

NORMALIZE - Static variable in class SciLib.SP.Transform.Trans

normalize(vector) - Static method in class SciLib.SP.Transform.Trans

normalize a vector x so that it has norm 1

NORMALIZE1 - Static variable in class SciLib.SP.Transform.Trans

normalize1(vector) - Static method in class SciLib.SP.Transform.Trans

normalize a vector by so that it has all elements between 0 and 1

normpdf(vector, double, double) - Static method in class SciLib.Math.ST.Stat

Compute the normal probability function of vector x with mean mu and standard deviation sigma

not() - Method in class SciLib.Math.bitStream

Apply or method between this bitStream and a bitStream b

NRZI(bitStream, boolean) - Static method in class SciLib.SP.Comm.Encode

Generate a signal from a bitStream data using NRZI technique.

NRZIData(int[]) - Static method in class SciLib.SP.Comm.Encode

Recover digital data from NRZI signal.

NRZL(bitStream, boolean) - Static method in class SciLib.SP.Comm.Encode

Generate a signal from a bitStream data using NRZL technique.

NRZLData(int[]) - Static method in class SciLib.SP.Comm.Encode

Recover digital data from NRZL signal.

Num - Class in SciLib.Math

This class contains some methods to construct numerical data.

Num() - Constructor for class SciLib.Math.Num

num2bits(int) - Static method in class SciLib.Math.bitStream

compute the number of bits needed to represent an integer n.

numberOfHiddenLayers - Variable in class SciLib.Neuro.Nnet

numberOfNetworks - Variable in class SciLib.Neuro.HrbfNet

NumberOfTestPatterns - Variable in class SciLib.Neuro.Nnet

NumberOfTrainingPatterns - Variable in class SciLib.Neuro.Nnet

O

OAASVM - Class in SciLib.Neuro.SVM

OAASVM(int, FileHandler, Kernel) - Constructor for class SciLib.Neuro.SVM.OAASVM

Constructor

OAOSVM - Class in SciLib.Neuro.SVM

OAOSVM(int, FileHandler, Kernel) - Constructor for class SciLib.Neuro.SVM.OAOSVM

Constructor

ones(int) - Static method in class SciLib.Math.booleanVector

Make a booleanVector of length n whose elements have value true.

ones(int) - Static method in class SciLib.Math.byteVector

Make a vector of length n whose elements have value 1.

ones(int) - Static method in class SciLib.Math.integerVector

Make a vector of length n whose elements have value 1.

ones(int) - Static method in class SciLib.Math.vector

Make a vector of length n whose elements have value 1.

openFile(String, String) - Method in interface SciLib.Neuro.SVM.FileHandler

openFile(String, String) - Method in class SciLib.Neuro.SVM.SVMFileHandler

openFile(String, String) - Method in class SciLib.Neuro.SVM.SVMReadBinaryData

openFile(String, String) - Method in class SciLib.Neuro.SVM.SVMReadTextData

or(boolean, boolean) - Static method in class SciLib.Math.bitStream

or operation

or(int, int) - Static method in class SciLib.Math.bitStream

or operation

or(bitStream) - Method in class SciLib.Math.bitStream

Apply or method between this bitStream and a bitStream b

or(bitStream, int) - Method in class SciLib.Math.bitStream

Apply or method between this bitStream and a bitStream b from the index i

out - Variable in class SciLib.Neuro.Layer

output - Variable in class SciLib.Neuro.Nnet

outSize - Variable in class SciLib.Neuro.Layer

outSize - Variable in class SciLib.Neuro.Nnet

P

paintComponent(Graphics) - Method in class SciLib.Grp.Grp2DPanel

paint JPanel

parent - Variable in class SciLib.AI.Search.SearchNode

pathCost - Variable in class SciLib.AI.Search.SearchNode

patternReader - Variable in class SciLib.Neuro.SVM.SVMReadBinaryData

patternReader - Variable in class SciLib.Neuro.SVM.SVMReadTextData

patterns() - Method in interface SciLib.Neuro.SVM.FileHandler

patterns - Variable in class SciLib.Neuro.SVM.SVM

patterns() - Method in class SciLib.Neuro.SVM.SVMFileHandler

patterns() - Method in class SciLib.Neuro.SVM.SVMReadTextData

phase() - Method in class SciLib.SP.Transform.Fourier

Get the phase of the Fourier transform of a given signal.

Pi - Static variable in class SciLib.Grp.Graphics2D

The constant value Pi = 3.141592

Pi - Static variable in class SciLib.Math.math

The constant value Pi = 3.141592

PI - Variable in class SciLib.SP.Transform.Fourier

Pi = 3.141592

Picture - Class in SciLib.SP.IP

This class contains some useful methods to handle bitmap file.

Picture() - Constructor for class SciLib.SP.IP.Picture

make an emty constructor

Picture(Image, Component) - Constructor for class SciLib.SP.IP.Picture

make a Pict object with a specific Image img

Picture(String, Component) - Constructor for class SciLib.SP.IP.Picture

make a Pict object from a bitmap file

pixels - Variable in class SciLib.SP.IP.Picture

play() - Method in class SciLib.SP.Sound

Plays the audio data synchronously, i.e. it blocks the thread it is being called from.

Plot - Class in SciLib.Grp

This class contains some methods to draw a 2D graphics.

Plot() - Constructor for class SciLib.Grp.Plot

plot(vector, vector, Color) - Static method in class SciLib.Grp.Plot

default plot method

plot(vector, vector, Color, String) - Static method in class SciLib.Grp.Plot

default plot method used default Graphics2D

plot(vector, vector) - Static method in class SciLib.Grp.Plot

default plot method with blue color

plot(vector, vector, String) - Static method in class SciLib.Grp.Plot

default plot method with blue color

plot(vector, vector, String, Color, String) - Static method in class SciLib.Grp.Plot

Plot the curve that represents the data points stored in vectors with a specific

plot(vector, vector, String, String) - Static method in class SciLib.Grp.Plot

Plot the curve that represents the data points stored in vectors with a specific

plot(vector) - Static method in class SciLib.Grp.Plot

plot method with blue color

plot(vector, String) - Static method in class SciLib.Grp.Plot

plot method with blue color

plot(vector, String, String) - Static method in class SciLib.Grp.Plot

plot method with blue color

plot(vector, vector, vector, Color, Color) - Static method in class SciLib.Grp.Plot

Plot two curves in the same window.

plot(vector, vector, vector) - Static method in class SciLib.Grp.Plot

Plot two curves in the same window.

plot(vector, vector, vector, vector, Color, Color, Color) - Static method in class SciLib.Grp.Plot

Plot three curves in the same window.

plot(vector, vector, vector, vector) - Static method in class SciLib.Grp.Plot

Plot three curves in the same window.

plot(Function) - Static method in class SciLib.Grp.Plot

Plot a function.

plot(Graphics2D, vector, vector, Color, String) - Static method in class SciLib.Grp.Plot

default plot method

plot(Graphics2D, vector, vector, String, Color, String) - Static method in class SciLib.Grp.Plot

Plot the curve that represents the data points stored in vectors with a specific

plot(Graphics2D, vector, vector, vector, Color, Color) - Static method in class SciLib.Grp.Plot

Plot two curves in the same window.

plot(Graphics2D, vector, vector, vector, vector, Color, Color, Color) - Static method in class SciLib.Grp.Plot

Plot three curves in the same window.

plot(Graphics2D, Function) - Static method in class SciLib.Grp.Plot

Plot a function.

plot(bitStream, int) - Static method in class SciLib.Grp.Plot

Plot the graphical representation of a bitStream.

plot(bitStream) - Static method in class SciLib.Grp.Plot

Plot the graphical representation of a bitStream.

plot(int[], String) - Static method in class SciLib.Grp.Plot

Plot the graphical representation of a signal array.

plot(int[], int, String) - Static method in class SciLib.Grp.Plot

Plot an array of voltage levels

plot(Graphics3D, vector, vector, matrix, Color, String, boolean) - Static method in class SciLib.Grp.Plot3D

default plot method

plot(Graphics3D, vector, vector, matrix, Color, String) - Static method in class SciLib.Grp.Plot3D

default plot method with coordinate system

plot(vector, vector, matrix, Color, String) - Static method in class SciLib.Grp.Plot3D

default plot method

plot(Graphics3D, Function3D, boolean) - Static method in class SciLib.Grp.Plot3D

Plot a function.

plot(Graphics3D, Function3D) - Static method in class SciLib.Grp.Plot3D

Plot a function with coordinate system.

plot(Function3D) - Static method in class SciLib.Grp.Plot3D

Plot a function.

plot(String) - Method in class SciLib.SP.Transform.Fourier

plot a specific component of the FT.

plot(String, String) - Method in class SciLib.SP.Transform.Fourier

plot the FT where specific2 is "half", "whole", of "shift" spectrum.

plot() - Method in class SciLib.SP.Transform.Fourier

plot the magnitude, the real part, and the imaginary part of the FT.

Plot3D - Class in SciLib.Grp

This class contains some methods to draw a 3D graphics.

Plot3D() - Constructor for class SciLib.Grp.Plot3D

plus(complex) - Method in class SciLib.Math.complex

plus this complex number with the complex number y

plus(complex, complex) - Static method in class SciLib.Math.complex

plus two complex number x, y.

plus(complexMatrix) - Method in class SciLib.Math.complexMatrix

plus this complexMatrix with the complexMatrix x and store the result in this matrix

plus(complexMatrix, complexMatrix) - Static method in class SciLib.Math.complexMatrix

plus two complexMatrix x, y.

plus(matrix) - Method in class SciLib.Math.matrix

plus this matrix with the matrix x and store the result in this matrix

plus(matrix, matrix) - Static method in class SciLib.Math.matrix

plus two matrices x, y.

plus(quaternion, quaternion) - Static method in class SciLib.Math.quaternion

add 2 quaternions

plus(rPoint, rPoint) - Static method in class SciLib.Math.rPoint

add 2 3D vectors

plus(vector) - Method in class SciLib.Math.vector

plus this vector with the vector x and store the result in this vector

plus(vector, vector) - Static method in class SciLib.Math.vector

plus two vector x, y.

PM(double, double, double) - Static method in class SciLib.SP.Comm.Encode

Plot the result of modulating by Phase-Modulation technique.

PM(double, double, double, vector, vector, boolean) - Static method in class SciLib.SP.Comm.Encode

Genarate the modulating signal by Phase-Modulation technique.

pointByPointMult(vector) - Method in class SciLib.Math.vector

Time each element of this vector with each element of x and store the result in this in this vector.

polynomial(double[], double) - Static method in class SciLib.Math.math

Compute the value of a polynomial at a point x

polynomial(double[], double[]) - Static method in class SciLib.Math.Num

Make a vector that contains all values of a polynomial at all points in the array x

polynomial(vector, vector) - Static method in class SciLib.Math.Num

Make a vector that contains all values of a polynomial at all points in the vector x

PolynomialKernel - Class in SciLib.Neuro.SVM

PolynomialKernel(double, double, double) - Constructor for class SciLib.Neuro.SVM.PolynomialKernel

PolynomialKernel() - Constructor for class SciLib.Neuro.SVM.PolynomialKernel

Population - Class in SciLib.Neuro

This class defines a Population class that contains a genetic algorithm.

Population() - Constructor for class SciLib.Neuro.Population

default constructor

power(vector) - Static method in class SciLib.SP.Sp

Computer the power of a finite signal

preprocessing(Bid) - Method in class SciLib.AI.Auction.BidTree

perform preprocessing