These changes make it unnecessary to copy header files around during the build process, which tends to confuse IDEs and debuggers. The headers which comprise Cantera's external C++ interface are now in the 'include' directory. All of the samples and demos are now in the 'samples' subdirectory.
247 lines
7 KiB
C++
247 lines
7 KiB
C++
/**
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* @file GeneralMatrix.h
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* Declarations for the class GeneralMatrix which is a virtual base class for matrices handled by solvers
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* (see class \ref numerics and \link Cantera::GeneralMatrix GeneralMatrix\endlink).
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*/
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/*
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* $Date: 2011-10-13 15:16:06 -0600 (Thu, 13 Oct 2011) $
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* $Revision: 776 $
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*/
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/*
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* Copywrite 2004 Sandia Corporation. Under the terms of Contract
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* DE-AC04-94AL85000 with Sandia Corporation, the U.S. Government
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* retains certain rights in this software.
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* See file License.txt for licensing information.
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*/
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#ifndef CT_GENERALMATRIX_H
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#define CT_GENERALMATRIX_H
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#include "ct_defs.h"
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namespace Cantera
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{
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//! Generic matrix
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class GeneralMatrix
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{
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public:
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//! Base Constructor
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/*!
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* @param matType Matrix type
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* 0 full
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* 1 banded
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*/
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GeneralMatrix(int matType);
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//! Copy Constructor
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/*!
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* @param right Object to be copied
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*/
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GeneralMatrix(const GeneralMatrix& right);
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//! Assignment operator
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/*!
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* @param right Object to be copied
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*/
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GeneralMatrix& operator=(const GeneralMatrix& right);
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//! Destructor. Does nothing.
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virtual ~GeneralMatrix();
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//! Duplicator member function
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/*!
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* This function will duplicate the matrix given a generic GeneralMatrix pointer
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*
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* @return Returns a pointer to the malloced object
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*/
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virtual GeneralMatrix* duplMyselfAsGeneralMatrix() const = 0;
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//! Zero the matrix elements
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virtual void zero() = 0;
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//! Multiply A*b and write result to prod.
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/*!
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* @param b Vector to do the rh multiplcation
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* @param prod OUTPUT vector to receive the result
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*/
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virtual void mult(const doublereal* const b, doublereal* const prod) const = 0;
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//! Multiply b*A and write result to prod.
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/*!
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* @param b Vector to do the lh multiplcation
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* @param prod OUTPUT vector to receive the result
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*/
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virtual void leftMult(const doublereal* const b, doublereal* const prod) const = 0;
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//! Factors the A matrix, overwriting A.
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/*
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* We flip m_factored boolean to indicate that the matrix is now A-1.
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*/
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virtual int factor() = 0;
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//! Factors the A matrix using the QR algorithm, overwriting A
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/*!
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* we set m_factored to 2 to indicate the matrix is now QR factored
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*
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* @return Returns the info variable from lapack
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*/
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virtual int factorQR() = 0;
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//! Returns an estimate of the inverse of the condition number for the matrix
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/*!
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* The matrix must have been previously factored using the QR algorithm
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*
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* @return returns the inverse of the condition number
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*/
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virtual doublereal rcondQR() = 0;
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//! Returns an estimate of the inverse of the condition number for the matrix
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/*!
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* The matrix must have been previously factored using the LU algorithm
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*
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* @param a1norm Norm of the matrix
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*
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* @return returns the inverse of the condition number
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*/
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virtual doublereal rcond(doublereal a1norm) = 0;
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//! Change the way the matrix is factored
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/*!
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* @param fAlgorithm integer
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* 0 LU factorization
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* 1 QR factorization
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*/
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virtual void useFactorAlgorithm(int fAlgorithm) = 0;
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//! Return the factor algorithm used
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/*!
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*
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*/
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virtual int factorAlgorithm() const = 0;
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//! Calculate the one norm of the matrix
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/*!
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* Returns the one norm of the matrix
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*/
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virtual doublereal oneNorm() const = 0;
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//! Return the number of rows in the matrix
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virtual size_t nRows() const = 0;
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//! Return the size and structure of the matrix
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/*!
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* This is inherited from GeneralMatrix
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*
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* @param iStruct OUTPUT Pointer to a vector of ints that describe the structure of the matrix.
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*
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* @return returns the number of rows and columns in the matrix.
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*/
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virtual size_t nRowsAndStruct(int* const iStruct = 0) const = 0;
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//! clear the factored flag
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virtual void clearFactorFlag() = 0;
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//! Solves the Ax = b system returning x in the b spot.
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/*!
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* @param b Vector for the rhs of the equation system
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*/
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virtual int solve(doublereal* b) = 0;
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//! true if the current factorization is up to date with the matrix
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virtual bool factored() const = 0;
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//! Return a pointer to the top of column j, columns are assumed to be contiguous in memory
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/*!
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* @param j Value of the column
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*
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* @return Returns a pointer to the top of the column
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*/
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virtual doublereal* ptrColumn(int j) = 0;
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//! Index into the (i,j) element
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/*!
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* @param i row
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* @param j column
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*
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* Returns a changeable reference to the matrix entry
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*/
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virtual doublereal& operator()(int i, int j) = 0;
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//! Constant Index into the (i,j) element
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/*!
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* @param i row
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* @param j column
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*
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* Returns an unchangeable reference to the matrix entry
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*/
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virtual doublereal operator()(int i, int j) const = 0;
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//! Copy the data from one array into another without doing any checking
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/*!
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* This differs from the assignment operator as no resizing is done and memcpy() is used.
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* @param y Array to be copied
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*/
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virtual void copyData(const GeneralMatrix& y) = 0;
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//! Return an iterator pointing to the first element
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/*!
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* We might drop this later
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*/
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virtual vector_fp::iterator begin() = 0;
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//! Return a const iterator pointing to the first element
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/*!
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* We might drop this later
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*/
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virtual vector_fp::const_iterator begin() const = 0;
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//! Return a vector of const pointers to the columns
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/*!
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* Note the value of the pointers are protected by their being const.
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* However, the value of the matrix is open to being changed.
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*
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* @return returns a vector of pointers to the top of the columns
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* of the matrices.
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*/
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virtual doublereal* const* colPts() = 0;
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//! Check to see if we have any zero rows in the jacobian
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/*!
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* This utility routine checks to see if any rows are zero.
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* The smallest row is returned along with the largest coefficient in that row
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*
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* @param valueSmall OUTPUT value of the largest coefficient in the smallest row
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*
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* @return index of the row that is most nearly zero
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*/
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virtual int checkRows(doublereal& valueSmall) const = 0;
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//! Check to see if we have any zero columns in the jacobian
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/*!
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* This utility routine checks to see if any columns are zero.
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* The smallest column is returned along with the largest coefficient in that column
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*
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* @param valueSmall OUTPUT value of the largest coefficient in the smallest column
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*
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* @return index of the column that is most nearly zero
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*/
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virtual int checkColumns(doublereal& valueSmall) const = 0;
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//! Matrix type
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/*!
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* 0 Square
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* 1 Banded
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*/
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int matrixType_;
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};
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}
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#endif
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