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sparse_matrix.h
/*
Copyright (c) 2006, Michael Kazhdan and Matthew Bolitho
All rights reserved.
Redistribution and use in source and binary forms, with or without modification,
are permitted provided that the following conditions are met:
Redistributions of source code must retain the above copyright notice, this list of
conditions and the following disclaimer. Redistributions in binary form must reproduce
the above copyright notice, this list of conditions and the following disclaimer
in the documentation and/or other materials provided with the distribution.
Neither the name of the Johns Hopkins University nor the names of its contributors
may be used to endorse or promote products derived from this software without specific
prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY
EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO THE IMPLIED WARRANTIES
OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT
SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED
TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR
BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN
ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH
DAMAGE.
*/
#ifndef __SPARSEMATRIX_HPP
#define __SPARSEMATRIX_HPP
#if defined __GNUC__
# pragma GCC system_header
#endif
#include "vector.h"
#include "allocator.h"
namespace pcl
{
namespace poisson
{
template <class T>
struct MatrixEntry
{
MatrixEntry( void ) { N =-1; Value = 0; }
MatrixEntry( int i ) { N = i; Value = 0; }
int N;
T Value;
};
template<class T> class SparseMatrix
{
private:
bool _contiguous;
int _maxEntriesPerRow;
static int UseAlloc;
public:
static Allocator<MatrixEntry<T> > internalAllocator;
static int UseAllocator(void);
static void SetAllocator( int blockSize );
int rows;
int* rowSizes;
MatrixEntry<T>** m_ppElements;
MatrixEntry< T >* operator[] ( int idx ) { return m_ppElements[idx]; }
const MatrixEntry< T >* operator[] ( int idx ) const { return m_ppElements[idx]; }
SparseMatrix( void );
SparseMatrix( int rows );
SparseMatrix( int rows , int maxEntriesPerRow );
void Resize( int rows );
void Resize( int rows , int maxEntriesPerRow );
void SetRowSize( int row , int count );
int Entries( void ) const;
SparseMatrix( const SparseMatrix& M );
~SparseMatrix();
void SetZero();
void SetIdentity();
SparseMatrix<T>& operator = (const SparseMatrix<T>& M);
SparseMatrix<T> operator * (const T& V) const;
SparseMatrix<T>& operator *= (const T& V);
SparseMatrix<T> operator * (const SparseMatrix<T>& M) const;
SparseMatrix<T> Multiply( const SparseMatrix<T>& M ) const;
SparseMatrix<T> MultiplyTranspose( const SparseMatrix<T>& Mt ) const;
template<class T2>
Vector<T2> operator * (const Vector<T2>& V) const;
template<class T2>
Vector<T2> Multiply( const Vector<T2>& V ) const;
template<class T2>
void Multiply( const Vector<T2>& In , Vector<T2>& Out , int threads=1 ) const;
SparseMatrix<T> Transpose() const;
static int Solve (const SparseMatrix<T>& M,const Vector<T>& b, int iters,Vector<T>& solution,const T eps=1e-8);
template<class T2>
static int SolveSymmetric( const SparseMatrix<T>& M , const Vector<T2>& b , int iters , Vector<T2>& solution , const T2 eps=1e-8 , int reset=1 , int threads=1 );
bool write( FILE* fp ) const;
bool write( const char* fileName ) const;
bool read( FILE* fp );
bool read( const char* fileName );
};
template< class T2 >
struct MapReduceVector
{
private:
int _dim;
public:
std::vector< T2* > out;
MapReduceVector( void ) { _dim = 0; }
~MapReduceVector( void )
{
if( _dim ) for( int t=0 ; t<int(out.size()) ; t++ ) delete[] out[t];
out.resize( 0 );
}
T2* operator[]( int t ) { return out[t]; }
const T2* operator[]( int t ) const { return out[t]; }
int threads( void ) const { return int( out.size() ); }
void resize( int threads , int dim )
{
if( threads!=out.size() || _dim<dim )
{
for( int t=0 ; t<int(out.size()) ; t++ ) delete[] out[t];
out.resize( threads );
for( int t=0 ; t<int(out.size()) ; t++ ) out[t] = new T2[dim];
_dim = dim;
}
}
};
template< class T >
class SparseSymmetricMatrix : public SparseMatrix< T >
{
public:
template< class T2 >
Vector< T2 > operator * ( const Vector<T2>& V ) const;
template< class T2 >
Vector< T2 > Multiply( const Vector<T2>& V ) const;
template< class T2 >
void Multiply( const Vector<T2>& In, Vector<T2>& Out , bool addDCTerm=false ) const;
template< class T2 >
void Multiply( const Vector<T2>& In, Vector<T2>& Out , MapReduceVector< T2 >& OutScratch , bool addDCTerm=false ) const;
template< class T2 >
void Multiply( const Vector<T2>& In, Vector<T2>& Out , std::vector< T2* >& OutScratch , const std::vector< int >& bounds ) const;
template< class T2 >
static int Solve( const SparseSymmetricMatrix<T>& M , const Vector<T2>& b , int iters , Vector<T2>& solution , T2 eps=1e-8 , int reset=1 , int threads=0 , bool addDCTerm=false , bool solveNormal=false );
template< class T2 >
static int Solve( const SparseSymmetricMatrix<T>& M , const Vector<T2>& b , int iters , Vector<T2>& solution , MapReduceVector<T2>& scratch , T2 eps=1e-8 , int reset=1 , bool addDCTerm=false , bool solveNormal=false );
#if defined _WIN32 && !defined __MINGW32__
template< class T2 >
static int SolveAtomic( const SparseSymmetricMatrix<T>& M , const Vector<T2>& b , int iters , Vector<T2>& solution , T2 eps=1e-8 , int reset=1 , int threads=0 , bool solveNormal=false );
#endif // _WIN32 || __MINGW32__
template<class T2>
static int Solve( const SparseSymmetricMatrix<T>& M , const Vector<T2>& diagonal , const Vector<T2>& b , int iters , Vector<T2>& solution , int reset=1 );
template< class T2 >
void getDiagonal( Vector< T2 >& diagonal ) const;
};
}
}
#include "sparse_matrix.hpp"
#endif
pcl::poisson::Allocator
This templated class assists in memory allocation and is well suited for instances when it is known t...
Definition allocator.h:50
pcl::poisson::SparseMatrix
Definition sparse_matrix.h:54
pcl::poisson::SparseMatrix::m_ppElements
MatrixEntry< T > ** m_ppElements
Definition sparse_matrix.h:66
pcl::poisson::SparseMatrix::read
bool read(FILE *fp)
Definition sparse_matrix.hpp:142
pcl::poisson::SparseMatrix::rowSizes
int * rowSizes
Definition sparse_matrix.h:65
pcl::poisson::SparseMatrix::Multiply
SparseMatrix< T > Multiply(const SparseMatrix< T > &M) const
Definition sparse_matrix.hpp:265
pcl::poisson::SparseMatrix::Transpose
SparseMatrix< T > Transpose() const
Definition sparse_matrix.hpp:324
pcl::poisson::SparseMatrix::SetAllocator
static void SetAllocator(int blockSize)
Definition sparse_matrix.hpp:56
pcl::poisson::SparseMatrix::operator*=
SparseMatrix< T > & operator*=(const T &V)
Definition sparse_matrix.hpp:255
pcl::poisson::SparseMatrix::SparseMatrix
SparseMatrix(void)
Definition sparse_matrix.hpp:69
pcl::poisson::SparseMatrix::MultiplyTranspose
SparseMatrix< T > MultiplyTranspose(const SparseMatrix< T > &Mt) const
pcl::poisson::SparseMatrix::operator=
SparseMatrix< T > & operator=(const SparseMatrix< T > &M)
Definition sparse_matrix.hpp:100
pcl::poisson::SparseMatrix::operator[]
MatrixEntry< T > * operator[](int idx)
Definition sparse_matrix.h:67
pcl::poisson::SparseMatrix::Resize
void Resize(int rows)
Definition sparse_matrix.hpp:160
pcl::poisson::SparseMatrix::write
bool write(FILE *fp) const
Definition sparse_matrix.hpp:134
pcl::poisson::SparseMatrix::SolveSymmetric
static int SolveSymmetric(const SparseMatrix< T > &M, const Vector< T2 > &b, int iters, Vector< T2 > &solution, const T2 eps=1e-8, int reset=1, int threads=1)
Definition sparse_matrix.hpp:339
pcl::poisson::SparseMatrix::SetRowSize
void SetRowSize(int row, int count)
Definition sparse_matrix.hpp:206
pcl::poisson::SparseMatrix::Solve
static int Solve(const SparseMatrix< T > &M, const Vector< T > &b, int iters, Vector< T > &solution, const T eps=1e-8)
Definition sparse_matrix.hpp:388
pcl::poisson::SparseMatrix::rows
int rows
Definition sparse_matrix.h:64
pcl::poisson::SparseMatrix::operator*
SparseMatrix< T > operator*(const T &V) const
Definition sparse_matrix.hpp:247
pcl::poisson::SparseMatrix::SetIdentity
void SetIdentity()
Definition sparse_matrix.hpp:239
pcl::poisson::SparseMatrix::UseAllocator
static int UseAllocator(void)
Definition sparse_matrix.hpp:54
pcl::poisson::SparseMatrix::Entries
int Entries(void) const
Definition sparse_matrix.hpp:93
pcl::poisson::SparseMatrix::~SparseMatrix
~SparseMatrix()
Definition sparse_matrix.hpp:113
pcl::poisson::SparseMatrix::SetZero
void SetZero()
Definition sparse_matrix.hpp:229
pcl::poisson::SparseMatrix::internalAllocator
static Allocator< MatrixEntry< T > > internalAllocator
Definition sparse_matrix.h:60
pcl::poisson::SparseSymmetricMatrix
Definition sparse_matrix.h:146
pcl::poisson::SparseSymmetricMatrix::Solve
static int Solve(const SparseSymmetricMatrix< T > &M, const Vector< T2 > &b, int iters, Vector< T2 > &solution, T2 eps=1e-8, int reset=1, int threads=0, bool addDCTerm=false, bool solveNormal=false)
Definition sparse_matrix.hpp:852
pcl::poisson::SparseSymmetricMatrix::getDiagonal
void getDiagonal(Vector< T2 > &diagonal) const
Definition sparse_matrix.hpp:965
pcl::poisson::SparseSymmetricMatrix::operator*
Vector< T2 > operator*(const Vector< T2 > &V) const
Definition sparse_matrix.hpp:422
pcl::poisson::SparseSymmetricMatrix::Multiply
Vector< T2 > Multiply(const Vector< T2 > &V) const
Definition sparse_matrix.hpp:425
pcl::poisson::SparseSymmetricMatrix::SolveAtomic
static int SolveAtomic(const SparseSymmetricMatrix< T > &M, const Vector< T2 > &b, int iters, Vector< T2 > &solution, T2 eps=1e-8, int reset=1, int threads=0, bool solveNormal=false)
Definition sparse_matrix.hpp:697
pcl::poisson::Vector
Definition vector.h:42
pcl
Definition convolution.h:46
pcl::poisson::MapReduceVector
Definition sparse_matrix.h:117
pcl::poisson::MapReduceVector::out
std::vector< T2 * > out
Definition sparse_matrix.h:121
pcl::poisson::MapReduceVector::~MapReduceVector
~MapReduceVector(void)
Definition sparse_matrix.h:123
pcl::poisson::MapReduceVector::operator[]
T2 * operator[](int t)
Definition sparse_matrix.h:128
pcl::poisson::MapReduceVector::threads
int threads(void) const
Definition sparse_matrix.h:130
pcl::poisson::MapReduceVector::resize
void resize(int threads, int dim)
Definition sparse_matrix.h:131
pcl::poisson::MapReduceVector::MapReduceVector
MapReduceVector(void)
Definition sparse_matrix.h:122
pcl::poisson::MapReduceVector::operator[]
const T2 * operator[](int t) const
Definition sparse_matrix.h:129
pcl::poisson::MatrixEntry
Definition sparse_matrix.h:46
pcl::poisson::MatrixEntry::MatrixEntry
MatrixEntry(void)
Definition sparse_matrix.h:47
pcl::poisson::MatrixEntry::Value
T Value
Definition sparse_matrix.h:50
pcl::poisson::MatrixEntry::N
int N
Definition sparse_matrix.h:49
pcl::poisson::MatrixEntry::MatrixEntry
MatrixEntry(int i)
Definition sparse_matrix.h:48