Distance_Geometry

Documentation of 'medusa.georgios.Distance_Geometry.Distance_Geometry_Matrix' Java class Distance_Geometry_Matrix

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Summary:
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Field |
Constr |
Method

Detail:
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Constr |
Method

java.lang.Object
- medusa.georgios.Distance_Geometry.Distance_Geometry_Matrix

All Implemented Interfaces:

java.io.Serializable, java.lang.Cloneable
```
public class Distance_Geometry_Matrix
extends java.lang.Object
implements java.lang.Cloneable, java.io.Serializable
```
Jama = Java Distance_Geometry_Matrix class.
The Java Distance_Geometry_Matrix Class provides the fundamental operations of numerical linear algebra. Various constructors create Matrices from two dimensional arrays of double precision floating point numbers. Various "gets" and "sets" provide access to submatrices and matrix elements. Several methods implement basic matrix arithmetic, including matrix addition and multiplication, matrix norms, and element-by-element array operations. Methods for reading and printing matrices are also included. All the operations in this version of the Distance_Geometry_Matrix Class involve real matrices. Complex matrices may be handled in a future version.
Five fundamental matrix decompositions, which consist of pairs or triples of matrices, permutation vectors, and the like, produce results in five decomposition classes. These decompositions are accessed by the Distance_Geometry_Matrix class to compute solutions of simultaneous linear equations, determinants, inverses and other matrix functions. The five decompositions are:
- Cholesky Decomposition of symmetric, positive definite matrices.
- LU Decomposition of rectangular matrices.
- QR Decomposition of rectangular matrices.
- Singular Value Decomposition of rectangular matrices.
- Eigenvalue Decomposition of both symmetric and nonsymmetric square matrices.
Example of use:
Solve a linear system A x = b and compute the residual norm, ||b - A x||.
```
      double[][] vals = {{1.,2.,3},{4.,5.,6.},{7.,8.,10.}};
      Distance_Geometry_Matrix A = new Distance_Geometry_Matrix(vals);
      Distance_Geometry_Matrix b = Distance_Geometry_Matrix.random(3,1);
      Distance_Geometry_Matrix x = A.solve(b);
      Distance_Geometry_Matrix r = A.times(x).minus(b);
      double rnorm = r.normInf();
 
```
See Also:

Serialized Form

Constructor Summary

Constructors
Constructor and Description
`Distance_Geometry_Matrix(double[][] A)` Construct a matrix from a 2-D array.
`Distance_Geometry_Matrix(double[][] A, int m, int n)` Construct a matrix quickly without checking arguments.
`Distance_Geometry_Matrix(double[] vals, int m)` Construct a matrix from a one-dimensional packed array
`Distance_Geometry_Matrix(int m, int n)` Construct an m-by-n matrix of zeros.
`Distance_Geometry_Matrix(int m, int n, double s)` Construct an m-by-n constant matrix.

Method Summary

All Methods Static Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`Distance_Geometry_Matrix`	`arrayLeftDivide(Distance_Geometry_Matrix B)` Element-by-element left division, C = A.\B
`Distance_Geometry_Matrix`	`arrayLeftDivideEquals(Distance_Geometry_Matrix B)` Element-by-element left division in place, A = A.\B
`Distance_Geometry_Matrix`	`arrayRightDivide(Distance_Geometry_Matrix B)` Element-by-element right division, C = A./B
`Distance_Geometry_Matrix`	`arrayRightDivideEquals(Distance_Geometry_Matrix B)` Element-by-element right division in place, A = A./B
`Distance_Geometry_Matrix`	`arrayTimes(Distance_Geometry_Matrix B)` Element-by-element multiplication, C = A.*B
`Distance_Geometry_Matrix`	`arrayTimesEquals(Distance_Geometry_Matrix B)` Element-by-element multiplication in place, A = A.*B
`CholeskyDecomposition`	`chol()` Cholesky Decomposition
`java.lang.Object`	`clone()` Clone the Distance_Geometry_Matrix object.
`double`	`cond()` Distance_Geometry_Matrix condition (2 norm)
`static Distance_Geometry_Matrix`	`constructWithCopy(double[][] A)` Construct a matrix from a copy of a 2-D array.
`Distance_Geometry_Matrix`	`copy()` Make a deep copy of a matrix
`double`	`det()` Distance_Geometry_Matrix determinant
`EigenvalueDecomposition`	`eig()` Eigenvalue Decomposition
`double`	`get(int i, int j)` Get a single element.
`double[][]`	`getArray()` Access the internal two-dimensional array.
`double[][]`	`getArrayCopy()` Copy the internal two-dimensional array.
`int`	`getColumnDimension()` Get column dimension.
`double[]`	`getColumnPackedCopy()` Make a one-dimensional column packed copy of the internal array.
`Distance_Geometry_Matrix`	`getMatrix(int[] r, int[] c)` Get a submatrix.
`Distance_Geometry_Matrix`	`getMatrix(int[] r, int j0, int j1)` Get a submatrix.
`Distance_Geometry_Matrix`	`getMatrix(int i0, int i1, int[] c)` Get a submatrix.
`Distance_Geometry_Matrix`	`getMatrix(int i0, int i1, int j0, int j1)` Get a submatrix.
`int`	`getRowDimension()` Get row dimension.
`double[]`	`getRowPackedCopy()` Make a one-dimensional row packed copy of the internal array.
`static Distance_Geometry_Matrix`	`identity(int m, int n)` Generate identity matrix
`Distance_Geometry_Matrix`	`inverse()` Distance_Geometry_Matrix inverse or pseudoinverse
`LUDecomposition`	`lu()` LU Decomposition
`Distance_Geometry_Matrix`	`minus(Distance_Geometry_Matrix B)` C = A - B
`Distance_Geometry_Matrix`	`minusEquals(Distance_Geometry_Matrix B)` A = A - B
`double`	`norm1()` One norm
`double`	`norm2()` Two norm
`double`	`normF()` Frobenius norm
`double`	`normInf()` Infinity norm
`Distance_Geometry_Matrix`	`plus(Distance_Geometry_Matrix B)` C = A + B
`Distance_Geometry_Matrix`	`plusEquals(Distance_Geometry_Matrix B)` A = A + B
`void`	`print(int w, int d)` Print the matrix to stdout.
`void`	`print(java.text.NumberFormat format, int width)` Print the matrix to stdout.
`void`	`print(java.io.PrintWriter output, int w, int d)` Print the matrix to the output stream.
`void`	`print(java.io.PrintWriter output, java.text.NumberFormat format, int width)` Print the matrix to the output stream.
`QRDecomposition`	`qr()` QR Decomposition
`static Distance_Geometry_Matrix`	`random(int m, int n)` Generate matrix with random elements
`int`	`rank()` Distance_Geometry_Matrix rank
`static Distance_Geometry_Matrix`	`read(java.io.BufferedReader input)` Read a matrix from a stream.
`void`	`set(int i, int j, double s)` Set a single element.
`void`	`setMatrix(int[] r, int[] c, Distance_Geometry_Matrix X)` Set a submatrix.
`void`	`setMatrix(int[] r, int j0, int j1, Distance_Geometry_Matrix X)` Set a submatrix.
`void`	`setMatrix(int i0, int i1, int[] c, Distance_Geometry_Matrix X)` Set a submatrix.
`void`	`setMatrix(int i0, int i1, int j0, int j1, Distance_Geometry_Matrix X)` Set a submatrix.
`Distance_Geometry_Matrix`	`solve(Distance_Geometry_Matrix B)` Solve A*X = B
`Distance_Geometry_Matrix`	`solveTranspose(Distance_Geometry_Matrix B)` Solve XA = B, which is also A'X' = B'
`SingularValueDecomposition`	`svd()` Singular Value Decomposition
`Distance_Geometry_Matrix`	`times(Distance_Geometry_Matrix B)` Linear algebraic matrix multiplication, A * B
`Distance_Geometry_Matrix`	`times(double s)` Multiply a matrix by a scalar, C = s*A
`Distance_Geometry_Matrix`	`timesEquals(double s)` Multiply a matrix by a scalar in place, A = s*A
`double`	`trace()` Distance_Geometry_Matrix trace.
`Distance_Geometry_Matrix`	`transpose()` Distance_Geometry_Matrix transpose.
`Distance_Geometry_Matrix`	`uminus()` Unary minus

Methods inherited from class java.lang.Object
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Constructor Detail
  - Distance_Geometry_Matrix
```
public Distance_Geometry_Matrix(int m,
                                int n)
```
    Construct an m-by-n matrix of zeros.
    
    Parameters:
    
    m - Number of rows.
    
    n - Number of colums.
  - Distance_Geometry_Matrix
```
public Distance_Geometry_Matrix(int m,
                                int n,
                                double s)
```
    Construct an m-by-n constant matrix.
    
    Parameters:
    
    m - Number of rows.
    
    n - Number of colums.
    
    s - Fill the matrix with this scalar value.
  - Distance_Geometry_Matrix
```
public Distance_Geometry_Matrix(double[][] A)
```
    Construct a matrix from a 2-D array.
    
    Parameters:
    
    A - Two-dimensional array of doubles.
    
    Throws:
    
    java.lang.IllegalArgumentException - All rows must have the same length
    
    See Also:
    
    constructWithCopy(double[][])
  - Distance_Geometry_Matrix
```
public Distance_Geometry_Matrix(double[][] A,
                                int m,
                                int n)
```
    Construct a matrix quickly without checking arguments.
    
    Parameters:
    
    A - Two-dimensional array of doubles.
    
    m - Number of rows.
    
    n - Number of colums.
  - Distance_Geometry_Matrix
```
public Distance_Geometry_Matrix(double[] vals,
                                int m)
```
    Construct a matrix from a one-dimensional packed array
    
    Parameters:
    
    vals - One-dimensional array of doubles, packed by columns (ala Fortran).
    
    m - Number of rows.
    
    Throws:
    
    java.lang.IllegalArgumentException - Array length must be a multiple of m.
- Method Detail
  - constructWithCopy
```
public static Distance_Geometry_Matrix constructWithCopy(double[][] A)
```
    Construct a matrix from a copy of a 2-D array.
    
    Parameters:
    
    A - Two-dimensional array of doubles.
    
    Throws:
    
    java.lang.IllegalArgumentException - All rows must have the same length
  - copy
```
public Distance_Geometry_Matrix copy()
```
    Make a deep copy of a matrix
  - clone
```
public java.lang.Object clone()
```
    Clone the Distance_Geometry_Matrix object.
    
    Overrides:
    
    clone in class java.lang.Object
  - getArray
```
public double[][] getArray()
```
    Access the internal two-dimensional array.
    
    Returns:
    
    Pointer to the two-dimensional array of matrix elements.
  - getArrayCopy
```
public double[][] getArrayCopy()
```
    Copy the internal two-dimensional array.
    
    Returns:
    
    Two-dimensional array copy of matrix elements.
  - getColumnPackedCopy
```
public double[] getColumnPackedCopy()
```
    Make a one-dimensional column packed copy of the internal array.
    
    Returns:
    
    Distance_Geometry_Matrix elements packed in a one-dimensional array by columns.
  - getRowPackedCopy
```
public double[] getRowPackedCopy()
```
    Make a one-dimensional row packed copy of the internal array.
    
    Returns:
    
    Distance_Geometry_Matrix elements packed in a one-dimensional array by rows.
  - getRowDimension
```
public int getRowDimension()
```
    Get row dimension.
    
    Returns:
    
    m, the number of rows.
  - getColumnDimension
```
public int getColumnDimension()
```
    Get column dimension.
    
    Returns:
    
    n, the number of columns.
  - get
```
public double get(int i,
                  int j)
```
    Get a single element.
    
    Parameters:
    
    i - Row index.
    
    j - Column index.
    
    Returns:
    
    A(i,j)
    
    Throws:
    
    java.lang.ArrayIndexOutOfBoundsException
  - getMatrix
```
public Distance_Geometry_Matrix getMatrix(int i0,
                                          int i1,
                                          int j0,
                                          int j1)
```
    Get a submatrix.
    
    Parameters:
    
    i0 - Initial row index
    
    i1 - Final row index
    
    j0 - Initial column index
    
    j1 - Final column index
    
    Returns:
    
    A(i0:i1,j0:j1)
    
    Throws:
    
    java.lang.ArrayIndexOutOfBoundsException - Submatrix indices
  - getMatrix
```
public Distance_Geometry_Matrix getMatrix(int[] r,
                                          int[] c)
```
    Get a submatrix.
    
    Parameters:
    
    r - Array of row indices.
    
    c - Array of column indices.
    
    Returns:
    
    A(r(:),c(:))
    
    Throws:
    
    java.lang.ArrayIndexOutOfBoundsException - Submatrix indices
  - getMatrix
```
public Distance_Geometry_Matrix getMatrix(int i0,
                                          int i1,
                                          int[] c)
```
    Get a submatrix.
    
    Parameters:
    
    i0 - Initial row index
    
    i1 - Final row index
    
    c - Array of column indices.
    
    Returns:
    
    A(i0:i1,c(:))
    
    Throws:
    
    java.lang.ArrayIndexOutOfBoundsException - Submatrix indices
  - getMatrix
```
public Distance_Geometry_Matrix getMatrix(int[] r,
                                          int j0,
                                          int j1)
```
    Get a submatrix.
    
    Parameters:
    
    r - Array of row indices.
    
    i0 - Initial column index
    
    i1 - Final column index
    
    Returns:
    
    A(r(:),j0:j1)
    
    Throws:
    
    java.lang.ArrayIndexOutOfBoundsException - Submatrix indices
  - set
```
public void set(int i,
                int j,
                double s)
```
    Set a single element.
    
    Parameters:
    
    i - Row index.
    
    j - Column index.
    
    s - A(i,j).
    
    Throws:
    
    java.lang.ArrayIndexOutOfBoundsException
  - setMatrix
```
public void setMatrix(int i0,
                      int i1,
                      int j0,
                      int j1,
                      Distance_Geometry_Matrix X)
```
    Set a submatrix.
    
    Parameters:
    
    i0 - Initial row index
    
    i1 - Final row index
    
    j0 - Initial column index
    
    j1 - Final column index
    
    X - A(i0:i1,j0:j1)
    
    Throws:
    
    java.lang.ArrayIndexOutOfBoundsException - Submatrix indices
  - setMatrix
```
public void setMatrix(int[] r,
                      int[] c,
                      Distance_Geometry_Matrix X)
```
    Set a submatrix.
    
    Parameters:
    
    r - Array of row indices.
    
    c - Array of column indices.
    
    X - A(r(:),c(:))
    
    Throws:
    
    java.lang.ArrayIndexOutOfBoundsException - Submatrix indices
  - setMatrix
```
public void setMatrix(int[] r,
                      int j0,
                      int j1,
                      Distance_Geometry_Matrix X)
```
    Set a submatrix.
    
    Parameters:
    
    r - Array of row indices.
    
    j0 - Initial column index
    
    j1 - Final column index
    
    X - A(r(:),j0:j1)
    
    Throws:
    
    java.lang.ArrayIndexOutOfBoundsException - Submatrix indices
  - setMatrix
```
public void setMatrix(int i0,
                      int i1,
                      int[] c,
                      Distance_Geometry_Matrix X)
```
    Set a submatrix.
    
    Parameters:
    
    i0 - Initial row index
    
    i1 - Final row index
    
    c - Array of column indices.
    
    X - A(i0:i1,c(:))
    
    Throws:
    
    java.lang.ArrayIndexOutOfBoundsException - Submatrix indices
  - transpose
```
public Distance_Geometry_Matrix transpose()
```
    Distance_Geometry_Matrix transpose.
    
    Returns:
    
    A'
  - norm1
```
public double norm1()
```
    One norm
    
    Returns:
    
    maximum column sum.
  - norm2
```
public double norm2()
```
    Two norm
    
    Returns:
    
    maximum singular value.
  - normInf
```
public double normInf()
```
    Infinity norm
    
    Returns:
    
    maximum row sum.
  - normF
```
public double normF()
```
    Frobenius norm
    
    Returns:
    
    sqrt of sum of squares of all elements.
  - uminus
```
public Distance_Geometry_Matrix uminus()
```
    Unary minus
    
    Returns:
    
    -A
  - plus
```
public Distance_Geometry_Matrix plus(Distance_Geometry_Matrix B)
```
    C = A + B
    
    Parameters:
    
    B - another matrix
    
    Returns:
    
    A + B
  - plusEquals
```
public Distance_Geometry_Matrix plusEquals(Distance_Geometry_Matrix B)
```
    A = A + B
    
    Parameters:
    
    B - another matrix
    
    Returns:
    
    A + B
  - minus
```
public Distance_Geometry_Matrix minus(Distance_Geometry_Matrix B)
```
    C = A - B
    
    Parameters:
    
    B - another matrix
    
    Returns:
    
    A - B
  - minusEquals
```
public Distance_Geometry_Matrix minusEquals(Distance_Geometry_Matrix B)
```
    A = A - B
    
    Parameters:
    
    B - another matrix
    
    Returns:
    
    A - B
  - arrayTimes
```
public Distance_Geometry_Matrix arrayTimes(Distance_Geometry_Matrix B)
```
    Element-by-element multiplication, C = A.*B
    
    Parameters:
    
    B - another matrix
    
    Returns:
    
    A.*B
  - arrayTimesEquals
```
public Distance_Geometry_Matrix arrayTimesEquals(Distance_Geometry_Matrix B)
```
    Element-by-element multiplication in place, A = A.*B
    
    Parameters:
    
    B - another matrix
    
    Returns:
    
    A.*B
  - arrayRightDivide
```
public Distance_Geometry_Matrix arrayRightDivide(Distance_Geometry_Matrix B)
```
    Element-by-element right division, C = A./B
    
    Parameters:
    
    B - another matrix
    
    Returns:
    
    A./B
  - arrayRightDivideEquals
```
public Distance_Geometry_Matrix arrayRightDivideEquals(Distance_Geometry_Matrix B)
```
    Element-by-element right division in place, A = A./B
    
    Parameters:
    
    B - another matrix
    
    Returns:
    
    A./B
  - arrayLeftDivide
```
public Distance_Geometry_Matrix arrayLeftDivide(Distance_Geometry_Matrix B)
```
    Element-by-element left division, C = A.\B
    
    Parameters:
    
    B - another matrix
    
    Returns:
    
    A.\B
  - arrayLeftDivideEquals
```
public Distance_Geometry_Matrix arrayLeftDivideEquals(Distance_Geometry_Matrix B)
```
    Element-by-element left division in place, A = A.\B
    
    Parameters:
    
    B - another matrix
    
    Returns:
    
    A.\B
  - times
```
public Distance_Geometry_Matrix times(double s)
```
    Multiply a matrix by a scalar, C = s*A
    
    Parameters:
    
    s - scalar
    
    Returns:
    
    s*A
  - timesEquals
```
public Distance_Geometry_Matrix timesEquals(double s)
```
    Multiply a matrix by a scalar in place, A = s*A
    
    Parameters:
    
    s - scalar
    
    Returns:
    
    replace A by s*A
  - times
```
public Distance_Geometry_Matrix times(Distance_Geometry_Matrix B)
```
    Linear algebraic matrix multiplication, A * B
    
    Parameters:
    
    B - another matrix
    
    Returns:
    
    Distance_Geometry_Matrix product, A * B
    
    Throws:
    
    java.lang.IllegalArgumentException - Distance_Geometry_Matrix inner dimensions must agree.
  - lu
```
public LUDecomposition lu()
```
    LU Decomposition
    
    Returns:
    
    LUDecomposition
    
    See Also:
    
    LUDecomposition
  - qr
```
public QRDecomposition qr()
```
    QR Decomposition
    
    Returns:
    
    QRDecomposition
    
    See Also:
    
    QRDecomposition
  - chol
```
public CholeskyDecomposition chol()
```
    Cholesky Decomposition
    
    Returns:
    
    CholeskyDecomposition
    
    See Also:
    
    CholeskyDecomposition
  - svd
```
public SingularValueDecomposition svd()
```
    Singular Value Decomposition
    
    Returns:
    
    SingularValueDecomposition
    
    See Also:
    
    SingularValueDecomposition
  - eig
```
public EigenvalueDecomposition eig()
```
    Eigenvalue Decomposition
    
    Returns:
    
    EigenvalueDecomposition
    
    See Also:
    
    EigenvalueDecomposition
  - solve
```
public Distance_Geometry_Matrix solve(Distance_Geometry_Matrix B)
```
    Solve A*X = B
    
    Parameters:
    
    B - right hand side
    
    Returns:
    
    solution if A is square, least squares solution otherwise
  - solveTranspose
```
public Distance_Geometry_Matrix solveTranspose(Distance_Geometry_Matrix B)
```
    Solve X*A = B, which is also A'*X' = B'
    
    Parameters:
    
    B - right hand side
    
    Returns:
    
    solution if A is square, least squares solution otherwise.
  - inverse
```
public Distance_Geometry_Matrix inverse()
```
    Distance_Geometry_Matrix inverse or pseudoinverse
    
    Returns:
    
    inverse(A) if A is square, pseudoinverse otherwise.
  - det
```
public double det()
```
    Distance_Geometry_Matrix determinant
    
    Returns:
    
    determinant
  - rank
```
public int rank()
```
    Distance_Geometry_Matrix rank
    
    Returns:
    
    effective numerical rank, obtained from SVD.
  - cond
```
public double cond()
```
    Distance_Geometry_Matrix condition (2 norm)
    
    Returns:
    
    ratio of largest to smallest singular value.
  - trace
```
public double trace()
```
    Distance_Geometry_Matrix trace.
    
    Returns:
    
    sum of the diagonal elements.
  - random
```
public static Distance_Geometry_Matrix random(int m,
                                              int n)
```
    Generate matrix with random elements
    
    Parameters:
    
    m - Number of rows.
    
    n - Number of colums.
    
    Returns:
    
    An m-by-n matrix with uniformly distributed random elements.
  - identity
```
public static Distance_Geometry_Matrix identity(int m,
                                                int n)
```
    Generate identity matrix
    
    Parameters:
    
    m - Number of rows.
    
    n - Number of colums.
    
    Returns:
    
    An m-by-n matrix with ones on the diagonal and zeros elsewhere.
  - print
```
public void print(int w,
                  int d)
```
    Print the matrix to stdout. Line the elements up in columns with a Fortran-like 'Fw.d' style format.
    
    Parameters:
    
    w - Column width.
    
    d - Number of digits after the decimal.
  - print
```
public void print(java.io.PrintWriter output,
                  int w,
                  int d)
```
    Print the matrix to the output stream. Line the elements up in columns with a Fortran-like 'Fw.d' style format.
    
    Parameters:
    
    output - Output stream.
    
    w - Column width.
    
    d - Number of digits after the decimal.
  - print
```
public void print(java.text.NumberFormat format,
                  int width)
```
    Print the matrix to stdout. Line the elements up in columns. Use the format object, and right justify within columns of width characters. Note that is the matrix is to be read back in, you probably will want to use a NumberFormat that is set to US Locale.
    
    Parameters:
    
    format - A Formatting object for individual elements.
    
    width - Field width for each column.
    
    See Also:
    
    DecimalFormat.setDecimalFormatSymbols(java.text.DecimalFormatSymbols)
  - print
```
public void print(java.io.PrintWriter output,
                  java.text.NumberFormat format,
                  int width)
```
    Print the matrix to the output stream. Line the elements up in columns. Use the format object, and right justify within columns of width characters. Note that is the matrix is to be read back in, you probably will want to use a NumberFormat that is set to US Locale.
    
    Parameters:
    
    output - the output stream.
    
    format - A formatting object to format the matrix elements
    
    width - Column width.
    
    See Also:
    
    DecimalFormat.setDecimalFormatSymbols(java.text.DecimalFormatSymbols)
  - read
```
public static Distance_Geometry_Matrix read(java.io.BufferedReader input)
                                     throws java.io.IOException
```
    Read a matrix from a stream. The format is the same the print method, so printed matrices can be read back in (provided they were printed using US Locale). Elements are separated by whitespace, all the elements for each row appear on a single line, the last row is followed by a blank line.
    
    Parameters:
    
    input - the input stream.
    
    Throws:
    
    java.io.IOException

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Method

Detail:
Field |
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Method

Class Distance_Geometry_Matrix

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Constructor Detail

Distance_Geometry_Matrix

Distance_Geometry_Matrix

Distance_Geometry_Matrix

Distance_Geometry_Matrix

Distance_Geometry_Matrix

Method Detail

constructWithCopy

copy

clone

getArray

getArrayCopy

getColumnPackedCopy

getRowPackedCopy

getRowDimension

getColumnDimension

get

getMatrix

getMatrix

getMatrix

getMatrix

set

setMatrix

setMatrix

setMatrix

setMatrix

transpose

norm1

norm2

normInf

normF

uminus

plus

plusEquals

minus

minusEquals

arrayTimes

arrayTimesEquals

arrayRightDivide

arrayRightDivideEquals

arrayLeftDivide

arrayLeftDivideEquals

times

timesEquals

times

lu

qr

chol

svd

eig

solve

solveTranspose

inverse

det

rank

cond

trace

random

identity

print

print

print

print

read