/usr/include/singular/singular/kernel/spectrum/kmatrix.h is in libsingular4-dev-common 1:4.1.0-p3+ds-2build1.
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// kmatrix.h
// begin of file
// Stephan Endrass, endrass@mathematik.uni-mainz.de
// 23.7.99
// ----------------------------------------------------------------------------
#ifndef KMATRIX_H
#define KMATRIX_H
#include <stdlib.h>
// ----------------------------------------------------------------------------
// template class for matrices with coefficients in the field K
// K is a class representing elements of a field
// The implementation of K is expected to have overloaded
// the operators +, -, *, /, +=, -=, *= and /=.
// The expressions (K)0 and (K)1 should cast to the 0 and 1 of K.
// Additionally we use the following functions in class K:
//
// member functions:
//
// double complexity( void );
//
// friend functions:
//
// friend K gcd( const K &a,const K &b ); // gcd(a,b)
// friend K gcd( K* a,int k ); // gcd(a[0],...,a[k-1])
//
// The complexity function should return a measure indicating
// how complicated this number is in terms of memory usage
// and arithmetic operations. For a rational p/q, one could
// return max(|p|,|q|). This fuction is used for pivoting.
//
// The gcd of two numbers a,b should be a number g such that
// the complexities of a/g and b/g are less or equal than those
// of a and b. For rationals p1/q1, p2/q2 one could return the
// quotient of integer gcd's gcd(p1,p2)/gcd(q1,q2).
//
// ----------------------------------------------------------------------------
template<class K> class KMatrix
{
private:
K *a; // the entries ot the matrix
int rows; // number of rows
int cols; // number of columns
public:
KMatrix( ); // init zero
KMatrix( const KMatrix& ); // copy constructor
KMatrix( int,int ); // preallocate rows & columns
~KMatrix( ); // destructor
void copy_delete ( void ); // delete associated memory
void copy_new ( int ); // allocate associated memory
void copy_zero ( void ); // init zero
void copy_unit ( int ); // init as unit matrix
void copy_shallow( KMatrix& ); // shallow copy
void copy_deep ( const KMatrix& ); // deep copy
K get( int,int ) const; // get an element
void set( int,int,const K& ); // set an element
int row_is_zero( int ) const; // test if row is zero
int column_is_zero( int ) const; // test if column is zero
int column_pivot( int,int ) const;
int gausseliminate( void ); // Gauss elimination
int rank( void ) const; // compute the rank
int solve( K**,int* ); // solve Ax=b from (A|b)
// elementary transformations
K multiply_row( int,const K& );
K add_rows( int,int,const K&,const K& );
int swap_rows( int,int );
K set_row_primitive( int );
int is_quadratic( void ) const;
int is_symmetric( void ) const;
K determinant( void ) const;
#ifdef KMATRIX_DEBUG
void test_row( int ) const;
void test_col( int ) const;
#endif
#ifdef KMATRIX_PRINT
friend ostream & operator << ( ostream&,const KMatrix& );
#endif
};
// ------------------------------------
// inline functions for class KMatrix
// ------------------------------------
// ----------------------------------------------------------------------------
// Delete memory associated to a KMatrix
// ----------------------------------------------------------------------------
template<class K>
inline void KMatrix<K>::copy_delete( void )
{
if( a != (K*)NULL && rows > 0 && cols > 0 ) delete [] a;
copy_zero( );
}
// ----------------------------------------------------------------------------
// Allocate memory associated to a KMatrix
// ----------------------------------------------------------------------------
template<class K>
inline void KMatrix<K>::copy_new( int k )
{
if( k > 0 )
{
a = new K[k];
#ifndef SING_NDEBUG
if( a == (K*)NULL )
{
#ifdef KMATRIX_PRINT
#ifdef KMATRIX_IOSTREAM
cerr << "void KMatrix::copy_new( int k )";
cerr << ": no memory left ..." << endl;
#else
fprintf( stderr,"void KMatrix::copy_new( int k )" );
fprintf( stderr,": no memory left ...\n" );
#endif
#endif
exit( 1 );
}
#endif
}
else if( k == 0 )
{
a = (K*)NULL;
}
else
{
#ifdef KMATRIX_PRINT
#ifdef KMATRIX_IOSTREAM
cerr << "void KMatrix::copy_new( int k )";
cerr << ": k < 0 ..." << endl;
#else
fprintf( stderr,"void KMatrix::copy_new( int k )" );
fprintf( stderr,": k < 0 ...\n" );
#endif
#endif
exit( 1 );
}
}
// ----------------------------------------------------------------------------
// Initialize a KMatrix with 0
// ----------------------------------------------------------------------------
template<class K>
inline void KMatrix<K>::copy_zero( void )
{
a = (K*)NULL;
rows = cols = 0;
}
// ----------------------------------------------------------------------------
// Initialize a KMatrix with the unit matrix
// ----------------------------------------------------------------------------
template<class K>
inline void KMatrix<K>::copy_unit( int rank )
{
int r,n=rank*rank;
copy_new( n );
rows = cols = rank;
for( r=0; r<n; a[r++]=(K)0 );
for( r=0; r<rows; r++ )
{
a[r*cols+r] = (K)1;
}
}
// ----------------------------------------------------------------------------
// Shallow copy
// ----------------------------------------------------------------------------
template<class K>
inline void KMatrix<K>::copy_shallow( KMatrix &m )
{
a = m.a;
rows = m.rows;
cols = m.cols;
}
// ----------------------------------------------------------------------------
// Deep copy
// ----------------------------------------------------------------------------
template<class K>
inline void KMatrix<K>::copy_deep( const KMatrix &m )
{
if( m.a == (K*)NULL )
{
copy_zero( );
}
else
{
int n=m.rows*m.cols;
copy_new( n );
rows = m.rows;
cols = m.cols;
for( int i=0; i<n; i++ )
{
a[i] = m.a[i];
}
}
}
// ----------------------------------------------------------------------------
// Zero constructor
// ----------------------------------------------------------------------------
template<class K>
inline KMatrix<K>::KMatrix( )
{
copy_zero( );
}
// ----------------------------------------------------------------------------
// Copy constructor
// ----------------------------------------------------------------------------
template<class K>
inline KMatrix<K>::KMatrix( const KMatrix &m )
{
copy_deep( m );
}
// ----------------------------------------------------------------------------
// Zero r by c matrix constructor
// ----------------------------------------------------------------------------
template<class K>
KMatrix<K>::KMatrix( int r,int c )
{
int n = r*c;
copy_new( n );
rows = r;
cols = c;
for( int i=0; i<n; i++ )
{
a[i]=(K)0;
}
}
// ----------------------------------------------------------------------------
// Destructor
// ----------------------------------------------------------------------------
template<class K>
KMatrix<K>::~KMatrix( )
{
copy_delete( );
}
// -------------------------------------------------
// non-inline template functions for class KMatrix
// -------------------------------------------------
// ----------------------------------------------------------------------------
// Debugging functions
// ----------------------------------------------------------------------------
#ifdef KMATRIX_DEBUG
template<class K>
void KMatrix<K>::test_row( int r ) const
{
if( r<0 || r>=rows )
{
#ifdef KMATRIX_PRINT
#ifdef KMATRIX_IOSTREAM
cerr << "KMatrix<K>::test_row( " << r << " )" << endl;
cerr << " rows = " << rows << endl;
cerr << " exiting...." << endl;
#else
fprintf( stderr,"KMatrix<K>::test_row( %d )\n",r );
fprintf( stderr," rows = %d\n",rows );
fprintf( stderr," exiting....\n" );
#endif
#endif
exit( 1 );
}
}
template<class K>
void KMatrix<K>::test_col( int c ) const
{
if( c<0 || c>=cols )
{
#ifdef KMATRIX_PRINT
#ifdef KMATRIX_IOSTREAM
cerr << "KMatrix<K>::test_col( " << c << " )" << endl;
cerr << " cols = " << cols << endl;
cerr << " exiting...." << endl;
#else
fprintf( stderr,"KMatrix<K>::test_col( %d )\n",c );
fprintf( stderr," cols = %d\n",cols );
fprintf( stderr," exiting....\n" );
#endif
#endif
exit( 1 );
}
}
#endif
// ----------------------------------------------------------------------------
// get coefficient at row r and column c
// return value: the coefficient
// ----------------------------------------------------------------------------
template<class K>
K KMatrix<K>::get( int r,int c ) const
{
#ifdef KMATRIX_DEBUG
test_row( r );
test_col( c );
#endif
return a[r*cols+c];
}
// ----------------------------------------------------------------------------
// sets coefficient at row r and column c to value
// ----------------------------------------------------------------------------
template<class K>
void KMatrix<K>::set( int r,int c,const K &value )
{
#ifdef KMATRIX_DEBUG
test_row( r );
test_col( c );
#endif
a[r*cols+c] = value;
}
// ----------------------------------------------------------------------------
// interchanges the rows r1 and r2
// return value: 1 if r1==r2
// return value: -1 if r1!=r2
// caution: the determinant changes its sign by the return value
// ----------------------------------------------------------------------------
template<class K>
int KMatrix<K>::swap_rows( int r1,int r2 )
{
#ifdef KMATRIX_DEBUG
test_row( r1 );
test_row( r2 );
#endif
if( r1 == r2 ) return 1;
K tmp;
for( int c=0; c<cols; c++ )
{
tmp = a[r1*cols+c];
a[r1*cols+c] = a[r2*cols+c];
a[r2*cols+c] = tmp;
}
return -1;
}
// ----------------------------------------------------------------------------
// replaces row r by its multiple (row r)*factor
// return value: factor
// caution: the determinant changes by the return value
// ----------------------------------------------------------------------------
template<class K>
K KMatrix<K>::multiply_row( int r,const K &factor )
{
#ifdef KMATRIX_DEBUG
test_row( r );
#endif
int i_src = r*cols;
for( int i=0; i<cols; i++,i_src++ )
{
a[i_src] *= factor;
}
return factor;
}
// ----------------------------------------------------------------------------
// replaces row dest by the linear combination
// (row src)*factor_src + (row dest)*factor_dest
// return value: factor_dest
// caution: the determinant changes by the return value
// ----------------------------------------------------------------------------
template<class K>
K KMatrix<K>::add_rows(
int src,int dest,const K &factor_src,const K &factor_dest )
{
#ifdef KMATRIX_DEBUG
test_row( src );
test_row( dest );
#endif
int i;
int i_src = src*cols;
int i_dest = dest*cols;
for( i=0; i<cols; i++,i_src++,i_dest++ )
{
a[i_dest] = a[i_src]*factor_src + a[i_dest]*factor_dest;
}
return factor_dest;
}
// ----------------------------------------------------------------------------
// test if row r is zero
// return value: TRUE if zero
// FALSE if not zero
// ----------------------------------------------------------------------------
template<class K>
int KMatrix<K>::row_is_zero( int r ) const
{
#ifdef KMATRIX_DEBUG
test_row( r );
#endif
for( int c=0; c<cols; c++ )
{
if( a[r*cols+c] != (K)0 ) return FALSE;
}
return TRUE;
}
// ----------------------------------------------------------------------------
// test if column c is zero
// return value: TRUE if zero
// FALSE if not zero
// ----------------------------------------------------------------------------
template<class K>
int KMatrix<K>::column_is_zero( int c ) const
{
#ifdef KMATRIX_DEBUG
test_col( c );
#endif
for( int r=0; r<rows; r++ )
{
if( a[r*cols+c] != (K)0 ) return FALSE;
}
return TRUE;
}
// ----------------------------------------------------------------------------
// find the element of column c if smallest nonzero absolute value
// consider only elements in row r0 or below
// return value: the row of the element
// ----------------------------------------------------------------------------
template<class K>
int KMatrix<K>::column_pivot( int r0,int c ) const
{
#ifdef KMATRIX_DEBUG
test_row( r0 );
test_col( c );
#endif
int r;
// find first nonzero entry in column c
for( r=r0; r<rows && a[r*cols+c]==(K)0; r++ );
if( r == rows )
{
// column is zero
return -1;
}
else
{
double val = a[r*cols+c].complexity( );
double val_new = 0.0;
int pivot = r;
for( ; r<rows; r++ )
{
if( a[r*cols+c] != (K)0 &&
( val_new = a[r*cols+c].complexity( ) ) < val )
{
val = val_new;
pivot = r;
}
}
return pivot;
}
}
// ----------------------------------------------------------------------------
// divide row r by the gcd of all elements
// ----------------------------------------------------------------------------
template<class K>
K KMatrix<K>::set_row_primitive( int r )
{
#ifdef KMATRIX_DEBUG
test_row( r );
#endif
K g = gcd( &(a[r*cols]),cols );
for( int c=0; c<cols; c++ )
{
a[r*cols+c] /= g;
}
return g;
}
// ----------------------------------------------------------------------------
// convert the matrix to upper triangular form
// return value: rank of the matrix
// ----------------------------------------------------------------------------
template<class K>
int KMatrix<K>::gausseliminate( void )
{
int r,c,rank = 0;
K g;
// make sure that the elements of each row have gcd=1
// this is useful for pivoting
for( r=0; r<rows; r++ )
{
set_row_primitive( r );
}
// search a pivoting element in each column
// perform Gauss elimination
for( c=0; c<cols && rank<rows; c++ )
{
if( ( r = column_pivot( rank,c )) >= 0 )
{
swap_rows( rank,r );
for( r=rank+1; r<rows; r++ )
{
if( a[r*cols+c] != (K)0 )
{
g = gcd( a[r*cols+c],a[rank*cols+c] );
add_rows( rank,r,-a[r*cols+c]/g,a[rank*cols+c]/g );
set_row_primitive( r );
}
}
rank++;
}
}
return rank;
}
// ----------------------------------------------------------------------------
// solve the linear system of equations given by
// (x1,...,xn,-1)*(*this) = 0
// return value: rank of the matrix
// k is set to the number of variables
// rat[0],...,rat[k-1] are set to the solutions
// ----------------------------------------------------------------------------
template<class K>
int KMatrix<K>::solve( K **solution,int *k )
{
int r,c,rank = 0;
K g;
// ----------------------------------------------------
// make sure that the elements of each row have gcd=1
// this is useful for pivoting
// ----------------------------------------------------
for( r=0; r<rows; r++ )
{
set_row_primitive( r );
}
// ------------------------------------------
// search a pivoting element in each column
// perform Gauss elimination
// ------------------------------------------
for( c=0; c<cols && rank < rows; c++ )
{
if( ( r = column_pivot( rank,c )) >= 0 )
{
swap_rows( rank,r );
for( r=0; r<rank; r++ )
{
if( a[r*cols+c] != (K)0 )
{
g = gcd( a[r*cols+c],a[rank*cols+c] );
add_rows( rank,r,-a[r*cols+c]/g,a[rank*cols+c]/g );
set_row_primitive( r );
}
}
for( r=rank+1; r<rows; r++ )
{
if( a[r*cols+c] != (K)0 )
{
g = gcd( a[r*cols+c],a[rank*cols+c] );
add_rows( rank,r,-a[r*cols+c]/g,a[rank*cols+c]/g );
set_row_primitive( r );
}
}
rank++;
}
}
if( rank < cols )
{
// ----------------------
// equation is solvable
// copy solutions
// ----------------------
*solution = new K[cols-1];
*k = cols - 1;
for( c=0; c<cols-1; c++ )
{
(*solution)[c] = (K)0;
}
for( r=0; r<rows; r++ )
{
for( c=0; c<cols && a[r*cols+c] == (K)0; c++ );
if( c < cols-1 )
{
(*solution)[c] = ((K)a[(r+1)*cols-1])/a[r*cols+c];
}
}
}
else
{
// --------------------------
// equation is not solvable
// --------------------------
*solution = (K*)NULL;
*k = 0;
}
return rank;
}
// ----------------------------------------------------------------------------
// compute the rank of the matrix
// return value: rank of the matrix
// ----------------------------------------------------------------------------
template<class K>
int KMatrix<K>::rank( void ) const
{
KMatrix<K> dummy( *this );
return dummy.gausseliminate( );
}
// ----------------------------------------------------------------------------
// print the matrix
// return value: the output stream used
// ----------------------------------------------------------------------------
#ifdef KMATRIX_PRINT
template<class K>
static
void print_rational( ostream &s,int digits,const K &n )
{
unsigned int num = digits - n.length( );
for( unsigned int i=0; i < num; i++ )
{
#ifdef KMATRIX_IOSTREAM
s << " ";
#else
fprintf( stdout," " );
#endif
}
s << n;
}
template<class K>
ostream & operator << ( ostream &s,const KMatrix<K> &m )
{
int i,r,c,digits=0,tmp;
for( i=0; i<m.rows*m.cols; i++ )
{
tmp = m.a[i].length( );
if( tmp > digits ) digits = tmp;
}
for( r=0; r<m.rows; r++ )
{
if( m.rows == 1 )
{
#ifdef KMATRIX_IOSTREAM
s << "<";
#else
fprintf( stdout,"<" );
#endif
}
else if( r == 0 )
{
#ifdef KMATRIX_IOSTREAM
s << "/";
#else
fprintf( stdout,"/" );
#endif
}
else if( r == m.rows - 1 )
{
#ifdef KMATRIX_IOSTREAM
s << "\\";
#else
fprintf( stdout,"\\" );
#endif
}
else
{
#ifdef KMATRIX_IOSTREAM
s << "|";
#else
fprintf( stdout,"|" );
#endif
}
for( c=0; c<m.cols; c++ )
{
#ifdef KMATRIX_IOSTREAM
s << " ";
#else
fprintf( stdout," " );
#endif
print_rational( s,digits,m.a[r*m.cols+c] );
}
if( m.rows == 1 )
{
#ifdef KMATRIX_IOSTREAM
s << " >";
#else
fprintf( stdout," >" );
#endif
}
else if( r == 0 )
{
#ifdef KMATRIX_IOSTREAM
s << " \\" << endl;
#else
fprintf( stdout," \\\n" );
#endif
}
else if( r == m.rows - 1 )
{
#ifdef KMATRIX_IOSTREAM
s << " /";
#else
fprintf( stdout," /" );
#endif
}
else
{
#ifdef KMATRIX_IOSTREAM
s << " |" << endl;
#else
fprintf( stdout," |\n" );
#endif
}
}
return s;
}
#endif
// ----------------------------------------------------------------------------
// test if the matrix is quadratic
// return value: TRUE or FALSE
// ----------------------------------------------------------------------------
template<class K>
int KMatrix<K>::is_quadratic( void ) const
{
return ( rows == cols ? TRUE : FALSE );
}
// ----------------------------------------------------------------------------
// test if the matrix is symmetric
// return value: TRUE or FALSE
// ----------------------------------------------------------------------------
template<class K>
int KMatrix<K>::is_symmetric( void ) const
{
if( is_quadratic( ) )
{
int r,c;
for( r=1; r<rows; r++ )
{
for( c=0; c<r; c++ )
{
if( a[r*cols+c] != a[c*cols+r] )
{
return FALSE;
}
}
}
return TRUE;
}
else
{
return FALSE;
}
}
// ----------------------------------------------------------------------------
// compute the determinant
// return value: the determinant
// ----------------------------------------------------------------------------
template<class K> K KMatrix<K>::determinant( void ) const
{
if( !is_quadratic( ) )
{
return 0;
}
KMatrix<K> dummy( *this );
int r,c,rank = 0;
K g;
K frank,fr;
K det = 1;
// make sure that the elements of each row have gcd=1
// this is useful for pivoting
for( r=0; r<dummy.rows; r++ )
{
det *= dummy.set_row_primitive( r );
}
// search a pivoting element in each column
// perform Gauss elimination
for( c=0; c<cols && rank<dummy.rows; c++ )
{
if( ( r = dummy.column_pivot( rank,c )) >= 0 )
{
det *= dummy.swap_rows( rank,r );
for( r=rank+1; r<dummy.rows; r++ )
{
if( dummy.a[r*cols+c] != (K)0 )
{
g = gcd( dummy.a[r*cols+c],dummy.a[rank*cols+c] );
frank = -dummy.a[r*cols+c]/g;
fr = dummy.a[rank*cols+c]/g;
det /= dummy.add_rows( rank,r,frank,fr );
det *= dummy.set_row_primitive( r );
}
}
rank++;
}
}
if( rank != dummy.rows )
{
return 0;
}
for( r=0; r<dummy.rows; r++ )
{
det *= dummy.a[r*cols+r];
}
return det;
}
#endif /* KMATRIX_H */
// ----------------------------------------------------------------------------
// kmatrix.h
// end of file
// ----------------------------------------------------------------------------
|