matrix_expressions.h

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/** @file
 *  @author Bram de Greve (bram@cocamware.com)
 *  @author Tom De Muer (tom@cocamware.com)
 *
 *  *** BEGIN LICENSE INFORMATION ***
 *  
 *  The contents of this file are subject to the Common Public Attribution License 
 *  Version 1.0 (the "License"); you may not use this file except in compliance with 
 *  the License. You may obtain a copy of the License at 
 *  http://lass.sourceforge.net/cpal-license. The License is based on the 
 *  Mozilla Public License Version 1.1 but Sections 14 and 15 have been added to cover 
 *  use of software over a computer network and provide for limited attribution for 
 *  the Original Developer. In addition, Exhibit A has been modified to be consistent 
 *  with Exhibit B.
 *  
 *  Software distributed under the License is distributed on an "AS IS" basis, WITHOUT 
 *  WARRANTY OF ANY KIND, either express or implied. See the License for the specific 
 *  language governing rights and limitations under the License.
 *  
 *  The Original Code is LASS - Library of Assembled Shared Sources.
 *  
 *  The Initial Developer of the Original Code is Bram de Greve and Tom De Muer.
 *  The Original Developer is the Initial Developer.
 *  
 *  All portions of the code written by the Initial Developer are:
 *  Copyright (C) 2004-2011 the Initial Developer.
 *  All Rights Reserved.
 *  
 *  Contributor(s):
 *
 *  Alternatively, the contents of this file may be used under the terms of the 
 *  GNU General Public License Version 2 or later (the GPL), in which case the 
 *  provisions of GPL are applicable instead of those above.  If you wish to allow use
 *  of your version of this file only under the terms of the GPL and not to allow 
 *  others to use your version of this file under the CPAL, indicate your decision by 
 *  deleting the provisions above and replace them with the notice and other 
 *  provisions required by the GPL License. If you do not delete the provisions above,
 *  a recipient may use your version of this file under either the CPAL or the GPL.
 *  
 *  *** END LICENSE INFORMATION ***
 */
 
 
 
#ifndef LASS_GUARDIAN_OF_INCLUSION_NUM_IMPL_MATRIX_EXPRESSIONS_H
#define LASS_GUARDIAN_OF_INCLUSION_NUM_IMPL_MATRIX_EXPRESSIONS_H
 
#include "../num_common.h"
 
namespace lass
{
namespace num
{
namespace impl
{
 
/** @internal
*/
template <typename T>
class MStorage
{
public:
    enum { lvalue = true };
    typedef typename util::CallTraits<T>::TValue TValue;
    typedef typename util::CallTraits<T>::TParam TParam;
    typedef typename util::CallTraits<T>::TReference TReference;
    typedef typename util::CallTraits<T>::TConstReference TConstReference;
    typedef size_t TSize;
 
    MStorage(): storage_(), rows_(0), cols_(0) {}
    MStorage(TSize iRows, TSize iCols): storage_(iRows * iCols, T()), rows_(iRows), cols_(iCols) {}
    TConstReference operator()(TSize iI, TSize iJ) const { return storage_[iI * cols_ + iJ]; }
    TReference operator()(TSize iI, TSize iJ) { return storage_[iI * cols_ + iJ]; }
    TSize rows() const { return rows_; }
    TSize columns() const { return cols_; }
 
    // special MStorage members:
    //
    void resize(TSize iRows, TSize iCols)
    {
        storage_.resize(iRows * iCols, T());
        rows_ = iRows;
        cols_ = iCols;
    }
    void swap(MStorage<T>& iOther)
    {
        storage_.swap(iOther.storage_);
        std::swap(rows_, iOther.rows_);
        std::swap(cols_, iOther.cols_);
    }
 
    typename std::vector<T>::iterator rowMajor() { return storage_.begin(); } 
    typename std::vector<T>::const_iterator rowMajor() const { return storage_.begin(); } 
 
private:
    std::vector<T> storage_;
    TSize rows_;
    TSize cols_;
};
 
/** @internal
*/
template <typename T>
class MScalar
{
public:
    enum { lvalue = false };
    typedef typename util::CallTraits<T>::TValue TValue;
    typedef typename util::CallTraits<T>::TParam TParam;
    typedef size_t TSize;
 
    MScalar(TParam iValue, TSize iRows, TSize iCols): value_(iValue), rows_(iRows), cols_(iCols) {}
    TParam operator()(TSize /*iI*/, TSize /*iJ*/) const
    {
        return value_;
    }
    TSize rows() const { return rows_; }
    TSize columns() const { return cols_; }
private:
    TValue value_;
    TSize rows_;
    TSize cols_;
};
 
 
 
template <typename ExpressionType>
struct MatrixExpressionTraits
{
    typedef const ExpressionType& TStorage;
};
 
template <typename T>
struct MatrixExpressionTraits<MScalar<T> >
{
    typedef MScalar<T> TStorage;
};
 
 
 
#define LASS_NUM_MATRIX_BINARY_EXPRESSION(i_name, c_operator)\
template <typename T, typename Operand1, typename Operand2>\
class LASS_CONCATENATE(M, i_name)\
{\
public:\
    enum { lvalue = false };\
    typedef typename util::CallTraits<T>::TValue TValue;\
    typedef size_t TSize;\
    LASS_CONCATENATE(M, i_name)(const Operand1& iA, const Operand2& iB):\
        operand1_(iA), operand2_(iB)\
    {\
        LASS_ASSERT(operand1_.rows() == operand2_.rows() &&\
            operand1_.columns() == operand2_.columns());\
    }\
    TValue operator()(TSize iI, TSize iJ) const\
    {\
        return operand1_(iI, iJ) c_operator operand2_(iI, iJ);\
    }\
    TSize rows() const { return operand1_.rows(); }\
    TSize columns() const { return operand1_.columns(); }\
private:\
    typename MatrixExpressionTraits<Operand1>::TStorage operand1_;\
    typename MatrixExpressionTraits<Operand2>::TStorage operand2_;\
}
 
LASS_NUM_MATRIX_BINARY_EXPRESSION(Add, +);
LASS_NUM_MATRIX_BINARY_EXPRESSION(Sub, -);
LASS_NUM_MATRIX_BINARY_EXPRESSION(Mul, *);
 
 
 
#define LASS_NUM_MATRIX_UNARY_EXPRESSION(i_name, c_operator)\
template <typename T, typename Operand1>\
class LASS_CONCATENATE(M, i_name)\
{\
public:\
    enum { lvalue = false };\
    typedef typename util::CallTraits<T>::TValue TValue;\
    typedef size_t TSize;\
    LASS_CONCATENATE(M, i_name)(const Operand1& iA):\
        operand1_(iA)\
    {\
    }\
    TValue operator()(TSize iRow, TSize iCol) const\
    {\
        return c_operator operand1_(iRow, iCol);\
    }\
    TSize rows() const { return operand1_.rows(); }\
    TSize columns() const { return operand1_.columns(); }\
private:\
    typename MatrixExpressionTraits<Operand1>::TStorage operand1_;\
}
 
LASS_NUM_MATRIX_UNARY_EXPRESSION(Neg, -);
LASS_NUM_MATRIX_UNARY_EXPRESSION(Rec, ::lass::num::NumTraits<T>::one /);
 
 
 
/** @internal
*  matrix product
*/
template <typename T, typename Operand1, typename Operand2>
class MProd
{
public:
    enum { lvalue = false };
    typedef typename util::CallTraits<T>::TValue TValue;
    typedef size_t TSize;
    MProd(const Operand1& iA, const Operand2& iB):
        operand1_(iA), operand2_(iB), loopSize_(iA.columns())
    {
        LASS_ASSERT(operand1_.columns() == operand2_.rows());
    }
    TValue operator()(TSize iI, TSize iJ) const
    {
        TValue result = TValue();
        for (TSize k = 0; k < loopSize_; ++k)
        {
            result += operand1_(iI, k) * operand2_(k, iJ);
        }
        return result;
    }
    TSize rows() const { return operand1_.rows(); }
    TSize columns() const { return operand2_.columns(); }
private:
    typename MatrixExpressionTraits<Operand1>::TStorage operand1_;
    typename MatrixExpressionTraits<Operand2>::TStorage operand2_;
    TSize loopSize_;
};
 
 
/** @internal
*  transpose matrix
*/
template <typename T, typename Operand1>
class MTrans
{
public:
    enum { lvalue = false };
    typedef typename util::CallTraits<T>::TParam TParam;
    typedef size_t TSize;
    MTrans(const Operand1& iA): operand1_(iA) {}
    TParam operator()(TSize iI, TSize iJ) const { return operand1_(iJ, iI);
}
    TSize rows() const { return operand1_.columns(); }
    TSize columns() const { return operand1_.rows(); }
private:
    typename MatrixExpressionTraits<Operand1>::TStorage operand1_;
};
 
 
 
/** @internal
*  apply function
*/
template <typename T, typename Operand1>
class MFun
{
public:
    enum { lvalue = false };
    typedef T (*TOperator)(T);
    typedef typename util::CallTraits<T>::TValue TValue;
    typedef size_t TSize;
    MFun(const Operand1& iA, TOperator iOperator): operand1_(iA),
operator_(iOperator) {}
    TValue operator()(TSize iI, TSize iJ) const { return
operator_(operand1_(iI, iJ)); }
    TSize rows() const { return operand1_.rows(); }\
    TSize columns() const { return operand1_.columns(); }\
private:
    typename MatrixExpressionTraits<Operand1>::TStorage operand1_;
    TOperator operator_;
};
 
 
 
}
 
}
 
}
 
#endif
 
// EOF