Cantera  3.1.0a1
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DenseMatrix Class Reference

A class for full (non-sparse) matrices with Fortran-compatible data storage, which adds matrix operations to class Array2D. More...

#include <DenseMatrix.h>

Inheritance diagram for DenseMatrix:
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Detailed Description

A class for full (non-sparse) matrices with Fortran-compatible data storage, which adds matrix operations to class Array2D.

The dense matrix class adds matrix operations onto the Array2D class. These matrix operations are carried out by the appropriate BLAS and LAPACK routines

Error handling from BLAS and LAPACK are handled via the following formulation. Depending on a variable, a singular matrix or other terminal error condition from LAPACK is handled by either throwing an exception or by returning the error code condition to the calling routine.

The int variable, m_useReturnErrorCode, determines which method is used. The default value of zero means that an exception is thrown. A value of 1 means that a return code is used.

Reporting of these LAPACK error conditions is handled by the class variable m_printLevel. The default is for no reporting. If m_printLevel is nonzero, the error condition is reported to Cantera's log file.

Definition at line 54 of file DenseMatrix.h.

Public Member Functions

 DenseMatrix ()=default
 Default Constructor.
 
 DenseMatrix (size_t n, size_t m, double v=0.0)
 Constructor.
 
 DenseMatrix (const DenseMatrix &y)
 
DenseMatrixoperator= (const DenseMatrix &y)
 
void resize (size_t n, size_t m, double v=0.0) override
 Resize the matrix.
 
virtual double *const * colPts ()
 
const double *const * const_colPts () const
 Return a const vector of const pointers to the columns.
 
virtual void mult (const double *b, double *prod) const
 
virtual void mult (const DenseMatrix &b, DenseMatrix &prod) const
 Multiply A*B and write result to prod.
 
virtual void leftMult (const double *const b, double *const prod) const
 Left-multiply the matrix by transpose(b), and write the result to prod.
 
vector< int > & ipiv ()
 Return a changeable value of the pivot vector.
 
const vector< int > & ipiv () const
 Return a changeable value of the pivot vector.
 
- Public Member Functions inherited from Array2D
 Array2D ()=default
 Default constructor.
 
 Array2D (const size_t m, const size_t n, const double v=0.0)
 Constructor.
 
 Array2D (const size_t m, const size_t n, const double *values)
 Constructor.
 
 Array2D (const Array2D &y)
 
Array2Doperator= (const Array2D &y)
 
virtual void resize (size_t n, size_t m, double v=0.0)
 Resize the array, and fill the new entries with 'v'.
 
void appendColumn (const vector< double > &c)
 Append a column to the existing matrix using a std vector.
 
void appendColumn (const double *const c)
 Append a column to the existing matrix.
 
void setRow (size_t n, const double *const rw)
 Set the nth row to array rw.
 
void getRow (size_t n, double *const rw)
 Get the nth row and return it in a vector.
 
void setColumn (size_t m, double *const col)
 Set the values in column m to those in array col.
 
void getColumn (size_t m, double *const col)
 Get the values in column m.
 
void zero ()
 Set all of the entries to zero.
 
double & operator() (size_t i, size_t j)
 Allows setting elements using the syntax A(i,j) = x.
 
double operator() (size_t i, size_t j) const
 Allows retrieving elements using the syntax x = A(i,j).
 
double & value (size_t i, size_t j)
 Returns a changeable reference to position in the matrix.
 
double value (size_t i, size_t j) const
 Returns the value of a single matrix entry.
 
size_t nRows () const
 Number of rows.
 
size_t nColumns () const
 Number of columns.
 
vector< double > & data ()
 Return a reference to the data vector.
 
const vector< double > & data () const
 Return a const reference to the data vector.
 
void operator*= (double a)
 
double * ptrColumn (size_t j)
 Return a pointer to the top of column j, columns are contiguous in memory.
 
const double * ptrColumn (size_t j) const
 Return a const pointer to the top of column j, columns are contiguous in memory.
 

Public Attributes

int m_useReturnErrorCode = 0
 Error Handling Flag.
 
int m_printLevel = 0
 Print Level.
 

Protected Attributes

vector< int > m_ipiv
 Vector of pivots. Length is equal to the max of m and n.
 
vector< double * > m_colPts
 Vector of column pointers.
 
- Protected Attributes inherited from Array2D
vector< double > m_data
 Data stored in a single array.
 
size_t m_nrows = 0
 Number of rows.
 
size_t m_ncols = 0
 Number of columns.
 

Constructor & Destructor Documentation

◆ DenseMatrix() [1/3]

DenseMatrix ( )
default

Default Constructor.

◆ DenseMatrix() [2/3]

DenseMatrix ( size_t  n,
size_t  m,
double  v = 0.0 
)

Constructor.

Create an n by m matrix, and initialize all elements to v.

Parameters
nNew number of rows
mNew number of columns
vDefault fill value. defaults to zero.

Definition at line 20 of file DenseMatrix.cpp.

◆ DenseMatrix() [3/3]

DenseMatrix ( const DenseMatrix y)

Definition at line 32 of file DenseMatrix.cpp.

Member Function Documentation

◆ operator=()

DenseMatrix & operator= ( const DenseMatrix y)

Definition at line 44 of file DenseMatrix.cpp.

◆ resize()

void resize ( size_t  n,
size_t  m,
double  v = 0.0 
)
overridevirtual

Resize the matrix.

Resize the matrix to n rows by m cols.

Parameters
nNew number of rows
mNew number of columns
vDefault fill value. defaults to zero.

Reimplemented from Array2D.

Definition at line 60 of file DenseMatrix.cpp.

◆ colPts()

double *const * colPts ( )
virtual

Definition at line 72 of file DenseMatrix.cpp.

◆ const_colPts()

const double *const * const_colPts ( ) const

Return a const vector of const pointers to the columns.

Note, the Jacobian can not be altered by this routine, and therefore the member function is const.

Returns
a vector of pointers to the top of the columns of the matrices.

Definition at line 77 of file DenseMatrix.cpp.

◆ mult() [1/2]

void mult ( const double *  b,
double *  prod 
) const
virtual

Definition at line 82 of file DenseMatrix.cpp.

◆ mult() [2/2]

void mult ( const DenseMatrix b,
DenseMatrix prod 
) const
virtual

Multiply A*B and write result to prod.

Take this matrix to be of size NxM.

Parameters
[in]bDenseMatrix B of size MxP
[out]prodDenseMatrix prod size NxP

Definition at line 97 of file DenseMatrix.cpp.

◆ leftMult()

void leftMult ( const double *const  b,
double *const  prod 
) const
virtual

Left-multiply the matrix by transpose(b), and write the result to prod.

Parameters
bleft multiply by this vector. The length must be equal to n the number of rows in the matrix.
prodResulting vector. This is of length m, the number of columns in the matrix

Definition at line 117 of file DenseMatrix.cpp.

◆ ipiv() [1/2]

vector< int > & ipiv ( )

Return a changeable value of the pivot vector.

Returns
a reference to the pivot vector as a vector<int>

Definition at line 128 of file DenseMatrix.cpp.

◆ ipiv() [2/2]

const vector< int > & ipiv ( ) const
inline

Return a changeable value of the pivot vector.

Returns
a reference to the pivot vector as a vector<int>

Definition at line 123 of file DenseMatrix.h.

Member Data Documentation

◆ m_ipiv

vector<int> m_ipiv
protected

Vector of pivots. Length is equal to the max of m and n.

Definition at line 129 of file DenseMatrix.h.

◆ m_colPts

vector<double*> m_colPts
protected

Vector of column pointers.

Definition at line 132 of file DenseMatrix.h.

◆ m_useReturnErrorCode

int m_useReturnErrorCode = 0

Error Handling Flag.

The default is to set this to 0. In this case, if a factorization is requested and can't be achieved, a CESingularMatrix exception is triggered. No return code is used, because an exception is thrown. If this is set to 1, then an exception is not thrown. Routines return with an error code, that is up to the calling routine to handle correctly. Negative return codes always throw an exception.

Definition at line 144 of file DenseMatrix.h.

◆ m_printLevel

int m_printLevel = 0

Print Level.

Printing is done to the log file using the routine writelogf().

Level of printing that is carried out. Only error conditions are printed out, if this value is nonzero.

Definition at line 153 of file DenseMatrix.h.


The documentation for this class was generated from the following files: