GeneralMatrix.h

Go to the documentation of this file.

/**
 *  @file GeneralMatrix.h
 *   Declarations for the class GeneralMatrix which is a virtual base class for matrices handled by solvers
 *    (see class @ref matrices and @link Cantera::GeneralMatrix GeneralMatrix@endlink).
 */
 
// This file is part of Cantera. See License.txt in the top-level directory or
// at https://cantera.org/license.txt for license and copyright information.
 
#ifndef CT_GENERALMATRIX_H
#define CT_GENERALMATRIX_H
 
#include "cantera/base/ct_defs.h"
#include "cantera/base/ctexceptions.h"
#include "cantera/base/global.h"
 
namespace Cantera
{
 
//! Generic matrix
//! @ingroup matrices
class GeneralMatrix
{
public:
    //! Base Constructor
    GeneralMatrix() = default;
 
    virtual ~GeneralMatrix() = default;
 
    //! Zero the matrix elements
    virtual void zero() = 0;
 
    //! Multiply A*b and write result to prod.
    /*!
     * @param b    Vector to do the rh multiplication
     * @param prod OUTPUT vector to receive the result
     */
    virtual void mult(span<const double> b, span<double> prod) const = 0;
 
    //! Multiply b*A and write result to prod.
    /*!
     * @param b    Vector to do the lh multiplication
     * @param prod OUTPUT vector to receive the result
     */
    virtual void leftMult(span<const double> b, span<double> prod) const = 0;
 
    //! Factors the A matrix, overwriting A.
    /*!
     * We flip m_factored boolean to indicate that the matrix is now A-1.
     */
    virtual void factor() = 0;
 
    //! Factors the A matrix using the QR algorithm, overwriting A
    /*!
     * we set m_factored to 2 to indicate the matrix is now QR factored
     *
     * @returns the info variable from LAPACK
     */
    virtual int factorQR() {
        throw NotImplementedError("GeneralMatrix::factorQR");
    }
 
    //! Returns an estimate of the inverse of the condition number for the matrix
    /*!
     * The matrix must have been previously factored using the QR algorithm
     *
     * @returns the inverse of the condition number
     */
    virtual double rcondQR() {
        throw NotImplementedError("GeneralMatrix::rcondQR");
    }
 
    //! Returns an estimate of the inverse of the condition number for the matrix
    /*!
     * The matrix must have been previously factored using the LU algorithm
     *
     * @param a1norm Norm of the matrix
     * @returns the inverse of the condition number
     */
    virtual double rcond(double a1norm) = 0;
 
    //! Change the way the matrix is factored
    /*!
     *  @param fAlgorithm   integer
     *                   0 LU factorization
     *                   1 QR factorization
     */
    virtual void useFactorAlgorithm(int fAlgorithm) {
        throw NotImplementedError("GeneralMatrix::useFactorAlgorithm");
    };
 
    //! Return the factor algorithm used
    virtual int factorAlgorithm() const = 0;
 
    //! Calculate the one norm of the matrix
    virtual double oneNorm() const = 0;
 
    //! Return the number of rows in the matrix
    virtual size_t nRows() const = 0;
 
    //! clear the factored flag
    virtual void clearFactorFlag() {
        m_factored = 0;
    };
 
    //! Solves the Ax = b system returning x in the b spot.
    /*!
     * @param b    Vector for the RHS of the equation system
     * @param nrhs Number of right-hand sides to solve, default 1
     * @param ldb  Leading dimension of the right-hand side array. Defaults to
     *              nRows()
     */
    virtual void solve(span<double> b, size_t nrhs=1, size_t ldb=0) = 0;
 
    //! true if the current factorization is up to date with the matrix
    virtual bool factored() const {
        return (m_factored != 0);
    }
 
    //! Return a writable span over column `j`.
    virtual span<double> col(size_t j) {
        throw NotImplementedError("GeneralMatrix::col");
    };
 
    //! Return a read-only span over column `j`.
    virtual span<const double> col(size_t j) const {
        throw NotImplementedError("GeneralMatrix::col");
    };
 
    //! Index into the (i,j) element
    /*!
     * @param i  row
     * @param j  column
     * @returns a changeable reference to the matrix entry
     */
    virtual double& operator()(size_t i, size_t j) = 0;
 
    //! Constant Index into the (i,j) element
    /*!
     * @param i  row
     * @param j  column
     * @returns an unchangeable reference to the matrix entry
     */
    virtual double operator()(size_t i, size_t j) const = 0;
 
    //! Check to see if we have any zero rows in the Jacobian
    /*!
     * This utility routine checks to see if any rows are zero. The smallest row
     * is returned along with the largest coefficient in that row
     *
     * @param valueSmall  OUTPUT value of the largest coefficient in the smallest row
     * @return index of the row that is most nearly zero
     */
    virtual size_t checkRows(double& valueSmall) const = 0;
 
    //! Check to see if we have any zero columns in the Jacobian
    /*!
     * This utility routine checks to see if any columns are zero. The smallest
     * column is returned along with the largest coefficient in that column
     *
     * @param valueSmall  OUTPUT value of the largest coefficient in the smallest column
     * @return index of the column that is most nearly zero
     */
    virtual size_t checkColumns(double& valueSmall) const = 0;
 
protected:
    //! Indicates whether the matrix is factored. 0 for unfactored; Non-zero
    //! values indicate a particular factorization (LU=1, QR=2).
    int m_factored = false;
};
 
}
#endif