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A
B
- beta(int, int, double, double) - Static method in class jmat.data.RandomMatrix
- Construct an m-by-n matrix of random numbers from a Beta random variable.
- beta(double, double) - Static method in class jmat.data.RandomVariable
- Generate a random number from a beta random variable.
- bootstrap(int, int, RandomMatrix) - Static method in class jmat.data.RandomMatrix
- Construct an m-by-n matrix of random numbers from a sample of this random variable, using the BOOTSTRAP technic.
C
- cauchy(int, int, double, double) - Static method in class jmat.data.RandomMatrix
- Construct an m-by-n matrix of random numbers from a Cauchy random variable.
- cauchy(double, double) - Static method in class jmat.data.RandomVariable
- Generate a random number from a Cauchy random variable (Mean = Inf, and Variance = Inf).
- checkColumnDimension(Matrix) - Method in class jmat.data.Matrix
- Check if number of Columns(A) == number of Columns(B).
- checkColumnDimension(int) - Method in class jmat.data.Matrix
- Check if number of Columns(A) == column.
- checkIndicesDimensions(int[][], int[][]) - Static method in class jmat.data.Matrix
- Check if indices have the same length.
- checkIndicesLengths(int[], int[]) - Static method in class jmat.data.Matrix
- Check if indices have the same length.
- checkMatrixDimensions(Matrix) - Method in class jmat.data.Matrix
- Check if size(A) == size(B).
- checkMatrixDimensions(int, int) - Method in class jmat.data.Matrix
- Check if size(A) == m2*n2.
- checkRowDimension(Matrix) - Method in class jmat.data.Matrix
- Check if number of Rows(A) == number of Rows(B).
- checkRowDimension(int) - Method in class jmat.data.Matrix
- Check if number of Rows(A) == row.
- chol() - Method in class jmat.data.Matrix
- Cholesky Decomposition
- clone() - Method in class jmat.data.Matrix
- Clone the Matrix object.
- cond() - Method in class jmat.data.Matrix
- Matrix condition (2 norm)
- copy() - Method in class jmat.data.Matrix
- Make a deep copy of a matrix
- cor() - Method in class jmat.data.RandomMatrix
- Generate a correlation matrix, each column contains values of a pulling.
- corColumns() - Method in class jmat.data.RandomMatrix
- Generate a correlation matrix, each row contains values of a pulling.
- corRows() - Method in class jmat.data.RandomMatrix
- Generate a correlation matrix, each column contains values of a pulling.
- cov() - Method in class jmat.data.RandomMatrix
- Generate a covariance matrix, each column contains values of a pulling.
- covColumns() - Method in class jmat.data.RandomMatrix
- Generate a covariance matrix, each row contains values of a pulling.
- covRows() - Method in class jmat.data.RandomMatrix
- Generate a covariance matrix, each column contains values of a pulling.
D
- det() - Method in class jmat.data.Matrix
- Matrix determinant
- diag() - Method in class jmat.data.Matrix
- Matrix diagonal extraction.
- diag(int) - Method in class jmat.data.Matrix
- Matrix diagonal extraction.
- dirac(int, int, Matrix) - Static method in class jmat.data.RandomMatrix
- Construct an m-by-n matrix of random numbers from a discrete random variable.
- dirac(double[], double[]) - Static method in class jmat.data.RandomVariable
- Generate a random number from a discrete random variable.
- dist(Matrix) - Method in class jmat.data.Matrix
- Generate a matrix, each column contents the Euclidian distance between the columns.
- distColumns(Matrix) - Method in class jmat.data.Matrix
- Generate a matrix, each line contents the Euclidian distance between the lines.
- distRows(Matrix) - Method in class jmat.data.Matrix
- Generate a matrix, each column contents the Euclidian distance between the columns.
- divide(double) - Method in class jmat.data.Matrix
- Divide a matrix by a scalar, C = A/s
- divide(Matrix) - Method in class jmat.data.Matrix
- Linear algebraic matrix division, A / B
E
- ebeAbs() - Method in class jmat.data.Matrix
- Element-by-element inverse
- ebeCos() - Method in class jmat.data.Matrix
- Element-by-element cosinus
- ebeDivide(double) - Method in class jmat.data.Matrix
- Divide a matrix by a scalar, C = A/s
- ebeDivide(Matrix) - Method in class jmat.data.Matrix
- Element-by-element right division, C = A./B
- ebeExp() - Method in class jmat.data.Matrix
- Element-by-element exponential
- ebeFun(DoubleFunction) - Method in class jmat.data.Matrix
- Element-by-element methodName evaluation
- ebeIndFun(DoubleFunction) - Method in class jmat.data.Matrix
- Element-by-element indicial methodName evaluation
- ebeInv() - Method in class jmat.data.Matrix
- Element-by-element inverse
- ebeLog() - Method in class jmat.data.Matrix
- Element-by-element neperian logarithm
- ebeMinus(double) - Method in class jmat.data.Matrix
- Sub a scalar to each element of a matrix, C = A .- B
- ebePlus(double) - Method in class jmat.data.Matrix
- Add a scalar to each element of a matrix, C = A .+ s
- ebePow(double) - Method in class jmat.data.Matrix
- Element-by-element power
- ebePow(Matrix) - Method in class jmat.data.Matrix
- Element-by-element power
- ebeSin() - Method in class jmat.data.Matrix
- Element-by-element sinus
- ebeSqrt() - Method in class jmat.data.Matrix
- Element-by-element inverse
- ebeTimes(double) - Method in class jmat.data.Matrix
- Multiply a matrix by a scalar, C = s*A
- ebeTimes(Matrix) - Method in class jmat.data.Matrix
- Element-by-element multiplication, C = A.*B
- eig() - Method in class jmat.data.Matrix
- Eigenvalue Decomposition
- exponential(int, int, double) - Static method in class jmat.data.RandomMatrix
- Construct an m-by-n matrix of random numbers from an exponantial random variable.
- exponential(double) - Static method in class jmat.data.RandomVariable
- Generate a random number from an exponantial random variable (Mean = 1/lambda, variance = 1/lambda^2).
F
- find(double) - Method in class jmat.data.Matrix
- Find an element
- find(String, double) - Method in class jmat.data.Matrix
- Find elements verifying a boolean test
- findMatrix(double) - Method in class jmat.data.Matrix
- Find an element
- findMatrix(String, double) - Method in class jmat.data.Matrix
- Find elements verifying a boolean test
- fromFile(String) - Static method in class jmat.data.Matrix
- Load the Matrix from a file.
- fromFile(File) - Static method in class jmat.data.Matrix
- Load the Matrix from a file
- fromFile(String) - Static method in class jmat.data.Text
- Load the text from a file.
- fromFile(File) - Static method in class jmat.data.Text
- Save the text from a file.
- fromMMLElement(Element) - Static method in class jmat.data.Matrix
- Load the Matrix from a MathML Element
- fromMMLFile(File) - Static method in class jmat.data.Matrix
- Load the Matrix from a MathML File
- fromString(String) - Static method in class jmat.data.Matrix
- Load the Matrix from a String
G
- get(int, int) - Method in class jmat.data.Matrix
- Get a single element.
- get(int[], int[]) - Method in class jmat.data.Matrix
- Get a several elements in Column.
- get(int[][], int[][]) - Method in class jmat.data.Matrix
- Get a several elements.
- getArray() - Method in class jmat.data.Matrix
- Access the internal two-dimensional array.
- getArrayCopy() - Method in class jmat.data.Matrix
- Copy the internal two-dimensional array.
- getColumn(int) - Method in class jmat.data.Matrix
- Copy an internal one-dimensional array from a column.
- getColumnArrayCopy(int) - Method in class jmat.data.Matrix
- Copy an internal one-dimensional array from a column.
- getColumnDimension() - Method in class jmat.data.Matrix
- Get column dimension.
- getColumnPackedCopy() - Method in class jmat.data.Matrix
- Make a one-dimensional column packed copy of the internal array.
- getColumns(int[]) - Method in class jmat.data.Matrix
- Copy an internal one-dimensional array from a column.
- getMatrix(int, int, int, int) - Method in class jmat.data.Matrix
- Get a submatrix.
- getRow(int) - Method in class jmat.data.Matrix
- Copy an internal one-dimensional array from a row.
- getRowArrayCopy(int) - Method in class jmat.data.Matrix
- Copy an internal one-dimensional array from a row.
- getRowDimension() - Method in class jmat.data.Matrix
- Get row dimension.
- getRowPackedCopy() - Method in class jmat.data.Matrix
- Make a one-dimensional row packed copy of the internal array.
- getRows(int[]) - Method in class jmat.data.Matrix
- Copy an internal one-dimensional array from many rows.
- getString() - Method in class jmat.data.Text
- Provides access to the string of the text.
I
- identity(int, int) - Static method in class jmat.data.Matrix
- Generate identity matrix
- increment(int, int, double, double) - Static method in class jmat.data.Matrix
- Generate a matrix with a constant pitch beetwen each row
- incrementColumns(int, int, double, double) - Static method in class jmat.data.Matrix
- Generate a matrix with a constant pitch beetwen each column
- incrementRows(int, int, double, double) - Static method in class jmat.data.Matrix
- Generate a matrix with a constant pitch beetwen each row
- inverse() - Method in class jmat.data.Matrix
- Matrix inverse or pseudoinverse
- isSample - Variable in class jmat.data.RandomMatrix
- Is the RandomMatrix a sample or an overal population?
J
- jmat.data - package jmat.data
L
- logNormal(int, int, double, double) - Static method in class jmat.data.RandomMatrix
- Construct an m-by-n matrix of random numbers from a LogNormal random variable.
- logNormal(double, double) - Static method in class jmat.data.RandomVariable
- Generate a random number from a LogNormal random variable.
- lu() - Method in class jmat.data.Matrix
- LU Decomposition
M
- Matrix - class jmat.data.Matrix.
- The Matrix Class provides the fundamental operations of numerical linear algebra (from the package JAMA), basic manipulations, and visualization tools.
- Matrix(int, int) - Constructor for class jmat.data.Matrix
- Construct an m-by-n matrix of zeros.
- Matrix(int, int, double) - Constructor for class jmat.data.Matrix
- Construct an m-by-n constant matrix.
- Matrix(double[][]) - Constructor for class jmat.data.Matrix
- Construct a matrix from a 2D-array.
- Matrix(double[][], int, int) - Constructor for class jmat.data.Matrix
- Construct a matrix from a 2D-array.
- Matrix(double[], int) - Constructor for class jmat.data.Matrix
- Construct a matrix from a one-dimensional packed array
- m - Variable in class jmat.data.Matrix
- Row and column dimensions.
- max() - Method in class jmat.data.Matrix
- Generate a row matrix, each column contents the maximum value of the columns.
- maxColumns() - Method in class jmat.data.Matrix
- Generate a column matrix, each line contents the maximum value of the lines.
- maxRows() - Method in class jmat.data.Matrix
- Generate a row matrix, each column contents the maximum value of the columns.
- mean() - Method in class jmat.data.RandomMatrix
- Generate a row matrix, each column contents the mean value of the columns.
- meanColumns() - Method in class jmat.data.RandomMatrix
- Generate a column matrix, each line contents the mean value of the lines.
- meanRows() - Method in class jmat.data.RandomMatrix
- Generate a row matrix, each column contents the mean value of the columns.
- merge(Matrix[]) - Static method in class jmat.data.Matrix
- Generate a matrix from other matrix.
- merge(Matrix) - Method in class jmat.data.Matrix
- Matrix merge.
- merge(Text) - Method in class jmat.data.Text
- Merge the two Texts.
- merge(Matrix) - Method in class jmat.data.Text
- Merge the Matrix.
- merge(String) - Method in class jmat.data.Text
- Merge the string.
- mergeColumns(Matrix[]) - Static method in class jmat.data.Matrix
- Generate a matrix from other matrix.
- mergeColumns(Matrix) - Method in class jmat.data.Matrix
- Matrix merge.
- mergeRows(Matrix[]) - Static method in class jmat.data.Matrix
- Generate a matrix from other matrix.
- mergeRows(Matrix) - Method in class jmat.data.Matrix
- Matrix merge.
- min() - Method in class jmat.data.Matrix
- Generate a row matrix, each column contents the minimum value of the columns.
- minColumns() - Method in class jmat.data.Matrix
- Generate a column matrix, each line contents the minimum value of the lines.
- minRows() - Method in class jmat.data.Matrix
- Generate a row matrix, each column contents the minimum value of the columns.
- minus(Matrix) - Method in class jmat.data.Matrix
- C = A - B
N
- n - Variable in class jmat.data.Matrix
- Row and column dimensions.
- norm1() - Method in class jmat.data.Matrix
- One norm
- norm2() - Method in class jmat.data.Matrix
- Two norm
- normF() - Method in class jmat.data.Matrix
- Frobenius norm
- normInf() - Method in class jmat.data.Matrix
- Infinity norm
- normal(int, int, double, double) - Static method in class jmat.data.RandomMatrix
- Construct an m-by-n matrix of random numbers from a Gaussian (Normal) random variable.
- normal(double, double) - Static method in class jmat.data.RandomVariable
- Generate a random number from a Gaussian (Normal) random variable.
P
- plus(Matrix) - Method in class jmat.data.Matrix
- C = A + B
- prod() - Method in class jmat.data.Matrix
- Generate a row matrix, each column contents the product value of the columns.
- prodColumns() - Method in class jmat.data.Matrix
- Generate a column matrix, each line contents the product value of the lines.
- prodRows() - Method in class jmat.data.Matrix
- Generate a row matrix, each column contents the product value of the columns.
Q
R
- RandomMatrix - class jmat.data.RandomMatrix.
- The RandomMatrix Class provides tools for statistical simulations,it extends the Matrix Class and adds many methods.
- RandomMatrix(int, int) - Constructor for class jmat.data.RandomMatrix
- Construct an m-by-n matrix of 0.
- RandomMatrix(Matrix) - Constructor for class jmat.data.RandomMatrix
- Construct a RandomMatrix from a Matrix (conversion).
- RandomVariable - class jmat.data.RandomVariable.
- The RandomVaraibale Class provides static methods for generating random numbers.
- RandomVariable() - Constructor for class jmat.data.RandomVariable
- rand() - Static method in class jmat.data.RandomVariable
- Generate a random number between 0 and 1.
- randInt(int, int) - Static method in class jmat.data.RandomVariable
- Generate a random integer.
- random(int, int) - Static method in class jmat.data.Matrix
- Generate matrix with random elements
- rank() - Method in class jmat.data.Matrix
- Matrix rank
- rejection(int, int, DoubleFunction, double, double) - Static method in class jmat.data.RandomMatrix
- Construct an m-by-n matrix of random numbers from a random variable definied by its density methodName, using the rejection technic.
- rejection(DoubleFunction, double, double, double) - Static method in class jmat.data.RandomVariable
- Generate a random number from a random variable definied by its density methodName, using the rejection technic.
- reshape(int, int) - Method in class jmat.data.Matrix
- Matrix reshape by Row.
- reshapeColumns(int, int) - Method in class jmat.data.Matrix
- Matrix reshape by Column.
- reshapeRows(int, int) - Method in class jmat.data.Matrix
- Matrix reshape by Row.
- resize(int, int) - Method in class jmat.data.Matrix
- Matrix resize.
S
- sampleWithReplacement(int, int, Matrix) - Static method in class jmat.data.RandomMatrix
- Construct a sample with replacement of a matrix.
- sampleWithoutReplacement(int, int, Matrix) - Static method in class jmat.data.RandomMatrix
- Construct a sample without replacement of a matrix.
- set(int, int, double) - Method in class jmat.data.Matrix
- Set a single element.
- set(int[], int[], double) - Method in class jmat.data.Matrix
- Set several elements.
- setColumn(int, Matrix) - Method in class jmat.data.Matrix
- Set a column to an internal one-dimensional Column.
- setColumns(int[], Matrix) - Method in class jmat.data.Matrix
- Copy an internal one-dimensional array from a column.
- setIsSample(boolean) - Method in class jmat.data.RandomMatrix
- Specify if the RandomMatrix is a sample of an overall population, or if it's an overall population.
- setMatrix(int, int, Matrix) - Method in class jmat.data.Matrix
- Set a submatrix.
- setMatrix(int[], int[], Matrix) - Method in class jmat.data.Matrix
- Set a submatrix.
- setMatrix(int, int, int, int, double) - Method in class jmat.data.Matrix
- Set a submatrix.
- setMatrix(int, int, int, int, Matrix) - Method in class jmat.data.Matrix
- Set a submatrix.
- setRow(int, Matrix) - Method in class jmat.data.Matrix
- Copy an internal one-dimensional array from a row.
- setRows(int[], Matrix) - Method in class jmat.data.Matrix
- Copy an internal one-dimensional array from many rows.
- setString(String) - Method in class jmat.data.Text
- Provides access to the string of the text.
- setString(Matrix) - Method in class jmat.data.Text
- shuffle(Matrix) - Static method in class jmat.data.RandomMatrix
- Construct shuffled copy of a matrix.
- solve(Matrix) - Method in class jmat.data.Matrix
- Solve A*X = B
- sort(int) - Method in class jmat.data.Matrix
- Generate a column-permuted matrix, rows are permuted in order to sort the column 'c'
- sortColumns(int) - Method in class jmat.data.Matrix
- Generate a row-permuted matrix, columns are permuted in order to sort the row 'l'
- sortRows(int) - Method in class jmat.data.Matrix
- Generate a column-permuted matrix, rows are permuted in order to sort the column 'c'
- sortedColumnsMatrix(int) - Method in class jmat.data.Matrix
- Generate a row-permuted matrix, columns are permuted in order to sort the row 'l'
- sortedMatrix(int) - Method in class jmat.data.Matrix
- Generate a column-permuted matrix, rows are permuted in order to sort the column 'c'
- sortedRowsMatrix(int) - Method in class jmat.data.Matrix
- Generate a column-permuted matrix, rows are permuted in order to sort the column 'c'
- string - Variable in class jmat.data.Text
- String for internal storage.
- sum() - Method in class jmat.data.Matrix
- Generate a row matrix, each column contents the sum value of the columns.
- sumColumns() - Method in class jmat.data.Matrix
- Generate a column matrix, each line contents the sum value of the lines.
- sumRows() - Method in class jmat.data.Matrix
- Generate a row matrix, each column contents the sum value of the columns.
- svd() - Method in class jmat.data.Matrix
- Singular Value Decomposition
T
- Text - class jmat.data.Text.
- The Text Class is just designed to provide easy-to-use string operations like building log files, displaying text in a window, converting matrix to String format...
- Text(String) - Constructor for class jmat.data.Text
- Construct a text.
- Text(Matrix) - Constructor for class jmat.data.Text
- Construct a text.
- times(double) - Method in class jmat.data.Matrix
- Multiply a matrix by a scalar, C = s*A
- times(Matrix) - Method in class jmat.data.Matrix
- Linear algebraic matrix multiplication, A * B
- toCommandLine(String) - Method in class jmat.data.Matrix
- Print the Matrix in the Command Line.
- toCommandLine() - Method in class jmat.data.Text
- Print the Text in the Command Line.
- toFile(String) - Method in class jmat.data.Matrix
- Save the Matrix in a file.
- toFile(File) - Method in class jmat.data.Matrix
- Save the Matrix in a file.
- toFile(String) - Method in class jmat.data.Text
- Save the Text in a file.
- toFile(File) - Method in class jmat.data.Text
- Save the text in a file.
- toFrame(String) - Method in class jmat.data.Text
- Display the text in a Window in a Frame.
- toFrameHist2D(String, int) - Method in class jmat.data.RandomMatrix
- Plot the histogram of the Matrix Columns in a JFrame
- toFrameHist3D(String, int, int) - Method in class jmat.data.RandomMatrix
- Plot the histogram of the Matrix Columns in a JFrame
- toFramePlot2D(String) - Method in class jmat.data.Matrix
- Plot the Matrix in a JFrame
- toFramePlot2D(String, Matrix) - Method in class jmat.data.Matrix
- Plot the Matrix in a JFrame
- toFramePlot3D(String) - Method in class jmat.data.Matrix
- Plot the Matrix in a JFrame
- toFramePlot3D(String, Matrix, Matrix) - Method in class jmat.data.Matrix
- Plot the Matrix in a Window in a JFrame
- toFrameTable(String) - Method in class jmat.data.Matrix
- Print the Matrix data in a Table in a JFrame
- toMMLElement() - Method in class jmat.data.Matrix
- Convert the Matrix into a MathML Element
- toMMLFile(File) - Method in class jmat.data.Matrix
- Convert the Matrix into a MathML File
- toPanel() - Method in class jmat.data.Text
- Display the text in a Window.
- toPanelHist2D(int) - Method in class jmat.data.RandomMatrix
- Plot the histogram of the Matrix Columns in a JPanel
- toPanelHist3D(int, int) - Method in class jmat.data.RandomMatrix
- Plot the histogram of the Matrix Columns in a JPanel
- toPanelPlot2D() - Method in class jmat.data.Matrix
- Plot the Matrix in a JPanel
- toPanelPlot2D(Matrix) - Method in class jmat.data.Matrix
- Plot the Matrix in a JPanel
- toPanelPlot3D() - Method in class jmat.data.Matrix
- Plot the Matrix in a JPanel
- toPanelPlot3D(Matrix, Matrix) - Method in class jmat.data.Matrix
- Plot the Matrix in a JFrame
- toPanelTable() - Method in class jmat.data.Matrix
- Print the Matrix in a JTable
- toString() - Method in class jmat.data.Matrix
- Convert the Matrix into a String
- trace() - Method in class jmat.data.Matrix
- Matrix trace.
- transpose() - Method in class jmat.data.Matrix
- Matrix transpose.
- triangular(int, int, double, double) - Static method in class jmat.data.RandomMatrix
- Construct an m-by-n matrix of random numbers from a symetric triangular random variable.
- triangular(int, int, double, double, double) - Static method in class jmat.data.RandomMatrix
- Construct an m-by-n matrix of random numbers from a non-symetric triangular random variable.
- triangular(double, double) - Static method in class jmat.data.RandomVariable
- Generate a random number from a symetric triangular random variable.
- triangular(double, double, double) - Static method in class jmat.data.RandomVariable
- Generate a random number from a non-symetric triangular random variable.
U
- uminus() - Method in class jmat.data.Matrix
- Unary minus
- uniform(int, int, double, double) - Static method in class jmat.data.RandomMatrix
- Construct an m-by-n matrix of random numbers from a uniform random variable.
- uniform(double, double) - Static method in class jmat.data.RandomVariable
- Generate a random number from a uniform random variable.
V
- var() - Method in class jmat.data.RandomMatrix
- Generate a variance matrix, each column contains values of a pulling.
- varColumns() - Method in class jmat.data.RandomMatrix
- Generate a variance matrix, each row contains values of a pulling.
- varRows() - Method in class jmat.data.RandomMatrix
- Generate a variance matrix, each column contains values of a pulling.
W
- weibull(int, int, double, double) - Static method in class jmat.data.RandomMatrix
- Construct an m-by-n matrix of random numbers from a Weibull random variable.
- weibull(double, double) - Static method in class jmat.data.RandomVariable
- Generate a random number from a Weibull random variable.
A B C D E F G I J L M N P Q R S T U V W
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