MatrixExtensions Class Reference

Utilities to work with matrices. More...

List of all members.

Static Public Member Functions

static double ColumnAverage (this Matrix< double > matrix, int col)
 Compute the average value of the entries in a column of a matrix.
static void ColumnInitNormal (this Matrix< double > matrix, int column, double mean, double stddev)
 Initializes one column of a double matrix with normal distributed (Gaussian) noise.
static double FrobeniusNorm (this Matrix< double > matrix)
 Compute the Frobenius norm (square root of the sum of squared entries) of a matrix.
static void Inc (this Matrix< double > matrix, double d)
 Increment all entries of a matrix with a scalar.
static void Inc (this Matrix< int > matrix, int i, int j)
 Increments the specified matrix element by 1.
static void Inc (this Matrix< double > matrix1, Matrix< double > matrix2)
 Increment the elements in one matrix by the ones in another.
static void Inc (this Matrix< double > matrix, int i, int j, double v)
 Increments the specified matrix element by a double value.
static void InitNormal (this Matrix< double > matrix, double mean, double stddev)
 Initializes a double matrix with normal distributed (Gaussian) noise.
static float Max (this Matrix< float > m)
 return the maximum value contained in a matrix
static double Max (this Matrix< double > m)
 return the maximum value contained in a matrix
static int Max (this Matrix< int > m)
 return the maximum value contained in a matrix
static void Multiply (this Matrix< double > matrix, double d)
 Multiply all entries of a matrix with a scalar.
static double RowAverage (this Matrix< double > matrix, int row)
 Compute the average value of the entries in a row of a matrix.
static IList< double > RowDifference (Matrix< double > matrix1, int i, Matrix< double > matrix2, int j)
 Compute the difference vector between two rows of two matrices.
static void RowInitNormal (this Matrix< double > matrix, int row, double mean, double stddev)
 Initializes one row of a double matrix with normal distributed (Gaussian) noise.
static double RowScalarProduct (Matrix< double > matrix1, int i, Matrix< double > matrix2, int j)
 Compute the scalar product between two rows of two matrices.
static double RowScalarProduct (Matrix< double > matrix, int i, IList< double > vector)
 Compute the scalar product between a vector and a row of the matrix.
static double RowScalarProductWithRowDifference (Matrix< double > matrix1, int i, Matrix< double > matrix2, int j, Matrix< double > matrix3, int k)
 Compute the scalar product of a matrix row with the difference vector of two other matrix rows.

Detailed Description

Utilities to work with matrices.


Member Function Documentation

static double ColumnAverage ( this Matrix< double >  matrix,
int  col 
) [inline, static]

Compute the average value of the entries in a column of a matrix.

Parameters:
matrix the matrix
col the column ID
Returns:
the average
static void ColumnInitNormal ( this Matrix< double >  matrix,
int  column,
double  mean,
double  stddev 
) [inline, static]

Initializes one column of a double matrix with normal distributed (Gaussian) noise.

Parameters:
matrix the matrix to initialize
mean the mean of the normal distribution drawn from
stddev the standard deviation of the normal distribution
column the column to be initialized
static double FrobeniusNorm ( this Matrix< double >  matrix  )  [inline, static]

Compute the Frobenius norm (square root of the sum of squared entries) of a matrix.

See http://en.wikipedia.org/wiki/Matrix_norm

Parameters:
matrix the matrix
Returns:
the Frobenius norm of the matrix
static void Inc ( this Matrix< double >  matrix,
double  d 
) [inline, static]

Increment all entries of a matrix with a scalar.

Parameters:
matrix the matrix
d the number to increment with
static void Inc ( this Matrix< int >  matrix,
int  i,
int  j 
) [inline, static]

Increments the specified matrix element by 1.

Parameters:
matrix the matrix
i the row
j the column
static void Inc ( this Matrix< double >  matrix1,
Matrix< double >  matrix2 
) [inline, static]

Increment the elements in one matrix by the ones in another.

Parameters:
matrix1 the matrix to be incremented
matrix2 the other matrix
static void Inc ( this Matrix< double >  matrix,
int  i,
int  j,
double  v 
) [inline, static]

Increments the specified matrix element by a double value.

Parameters:
matrix the matrix
i the row
j the column
v the value
static void InitNormal ( this Matrix< double >  matrix,
double  mean,
double  stddev 
) [inline, static]

Initializes a double matrix with normal distributed (Gaussian) noise.

Parameters:
matrix the matrix to initialize
mean the mean of the normal distribution drawn from
stddev the standard deviation of the normal distribution
static float Max ( this Matrix< float >  m  )  [inline, static]

return the maximum value contained in a matrix

Parameters:
m the matrix
static double Max ( this Matrix< double >  m  )  [inline, static]

return the maximum value contained in a matrix

Parameters:
m the matrix
static int Max ( this Matrix< int >  m  )  [inline, static]

return the maximum value contained in a matrix

Parameters:
m the matrix
static void Multiply ( this Matrix< double >  matrix,
double  d 
) [inline, static]

Multiply all entries of a matrix with a scalar.

Parameters:
matrix the matrix
d the number to multiply with
static double RowAverage ( this Matrix< double >  matrix,
int  row 
) [inline, static]

Compute the average value of the entries in a row of a matrix.

Parameters:
matrix the matrix
row the row ID
Returns:
the average
static IList<double> RowDifference ( Matrix< double >  matrix1,
int  i,
Matrix< double >  matrix2,
int  j 
) [inline, static]

Compute the difference vector between two rows of two matrices.

Parameters:
matrix1 the first matrix
i the first row ID
matrix2 the second matrix
j the second row ID
Returns:
the difference vector of row i of matrix1 and row j of matrix2
static void RowInitNormal ( this Matrix< double >  matrix,
int  row,
double  mean,
double  stddev 
) [inline, static]

Initializes one row of a double matrix with normal distributed (Gaussian) noise.

Parameters:
matrix the matrix to initialize
row the row to be initialized
mean the mean of the normal distribution drawn from
stddev the standard deviation of the normal distribution
static double RowScalarProduct ( Matrix< double >  matrix1,
int  i,
Matrix< double >  matrix2,
int  j 
) [inline, static]

Compute the scalar product between two rows of two matrices.

Parameters:
matrix1 the first matrix
i the first row ID
matrix2 the second matrix
j the second row ID
Returns:
the scalar product of row i of matrix1 and row j of matrix2
static double RowScalarProduct ( Matrix< double >  matrix,
int  i,
IList< double >  vector 
) [inline, static]

Compute the scalar product between a vector and a row of the matrix.

Parameters:
matrix the matrix
i the row ID
vector the numeric vector
Returns:
the scalar product of row i and the vector
static double RowScalarProductWithRowDifference ( Matrix< double >  matrix1,
int  i,
Matrix< double >  matrix2,
int  j,
Matrix< double >  matrix3,
int  k 
) [inline, static]

Compute the scalar product of a matrix row with the difference vector of two other matrix rows.

Parameters:
matrix1 the first matrix
i the first row ID
matrix2 the second matrix
j the second row ID
matrix3 the third matrix
k the third row ID

///

Returns:
see summary

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