예제 #1
0
 void scalarMultInPlace(DMat<RT>& A, const typename RT::ElementType &f)
 {
   for (size_t i=0; i<A.numRows()*A.numColumns(); i++)
     {
       A.ring().mult(A.array()[i], f, A.array()[i]);
     }
 }
예제 #2
0
파일: mat-arith.hpp 프로젝트: BertiniM2/M2
bool isZero(const DMat<RT>& A)
{
  size_t len = A.numRows() * A.numColumns();
  if (len == 0) return true;
  for (auto t = A.array() + len - 1; t >= A.array(); t--)
    if (!A.ring().is_zero(*t)) return false;
  return true;
}
예제 #3
0
 void negateInPlace(DMat<RT>& A)
 // A = -A
 {
   size_t len = A.numRows() * A.numColumns();
   for (size_t i=0; i<len; i++)
     {
       A.ring().negate(A.array()[i], A.array()[i]);
     }
 }
예제 #4
0
파일: mat-arith.hpp 프로젝트: BertiniM2/M2
bool isEqual(const DMat<RT>& A, const DMat<RT>& B)
{
  assert(&A.ring() == &B.ring());
  if (B.numRows() != A.numRows()) return false;
  if (B.numColumns() != A.numColumns()) return false;
  size_t top = A.numRows() * A.numColumns();
  auto elemsA = A.array();
  auto elemsB = B.array();
  for (size_t i = 0; i < top; i++)
    if (!A.ring().is_equal(*elemsA++, *elemsB++)) return false;
  return true;
}
예제 #5
0
 void subtractInPlace(DMat<RT>& A, const DMat<RT>& B)
 // A -= B
 {
   M2_ASSERT(&B.ring() == &A.ring());
   M2_ASSERT(B.numRows() == A.numRows());
   M2_ASSERT(B.numColumns() == A.numColumns());
   
   size_t len = A.numRows() * A.numColumns();
   for (size_t i=0; i<len; i++)
     {
       A.ring().subtract(A.array()[i], A.array()[i], B.array()[i]);
     }
 }
예제 #6
0
파일: mat-arith.hpp 프로젝트: BertiniM2/M2
void addInPlace(DMat<RT>& A, const DMat<RT>& B)
// A += B.
{
  assert(&B.ring() == &A.ring());
  assert(B.numRows() == A.numRows());
  assert(B.numColumns() == A.numColumns());

  size_t len = A.numRows() * A.numColumns();
  for (size_t i = 0; i < len; i++)
    {
      A.ring().add(A.array()[i], A.array()[i], B.array()[i]);
    }
}
예제 #7
0
파일: mat-linalg.hpp 프로젝트: gblanco92/M2
  void subtractMultipleTo(DMat<RT>& C, 
                          const DMat<RT>& A, 
                          const DMat<RT>& B)
  // C = C - A*B
  {
    typedef typename RT::ElementType ElementType;
    typedef typename DMat<RT>::ConstIterator ConstIterator;
    
    M2_ASSERT(A.numColumns() == B.numRows());
    M2_ASSERT(A.numRows() == C.numRows());
    M2_ASSERT(B.numColumns() == C.numColumns());

    ElementType* result = C.array();

    ElementType tmp;
    A.ring().init(tmp);
    // WARNING: this routine expects the result matrix to be in ROW MAJOR ORDER
    for (size_t i = 0; i<A.numRows(); i++)
      for (size_t j = 0; j<B.numColumns(); j++)
        {
          ConstIterator i1 = A.rowBegin(i);
          ConstIterator iend = A.rowEnd(i);
          ConstIterator j1 = B.columnBegin(j);
          
          while (i1 != iend)
            {
              A.ring().mult(tmp, *i1, *j1);
              A.ring().subtract(*result, *result, tmp);
              ++i1;
              ++j1;
            }
          result++;
        }
    A.ring().clear(tmp);
  }
예제 #8
0
파일: mat-linalg.hpp 프로젝트: gblanco92/M2
  void mult(const DMat<RT>& A, 
            const DMat<RT>& B, 
            DMat<RT>& result_product)
  {
    //printf("entering dmat mult\n");
    typedef typename RT::ElementType ElementType;
    typedef typename DMat<RT>::ConstIterator ConstIterator;
    
    M2_ASSERT(A.numColumns() == B.numRows());
    M2_ASSERT(A.numRows() == result_product.numRows());
    M2_ASSERT(B.numColumns() == result_product.numColumns());

    ElementType* result = result_product.array();

    ElementType tmp;
    A.ring().init(tmp);
    // WARNING: this routine expects the result matrix to be in ROW MAJOR ORDER
    for (size_t i = 0; i<A.numRows(); i++)
      for (size_t j = 0; j<B.numColumns(); j++)
        {
          ConstIterator i1 = A.rowBegin(i);
          ConstIterator iend = A.rowEnd(i);
          ConstIterator j1 = B.columnBegin(j);
          
          while (i1 != iend)
            {
              A.ring().mult(tmp, *i1, *j1);
              A.ring().add(*result, *result, tmp);
              ++i1;
              ++j1;
            }
          result++;
        }
    A.ring().clear(tmp);
  }
예제 #9
0
파일: mat.cpp 프로젝트: JosephineYu/M2
engine_RawArrayIntPairOrNull rawLQUPFactorizationInPlace(MutableMatrix *A, M2_bool transpose)
{
#ifdef HAVE_FFLAS_FFPACK
  // Suppose A is m x n
  // then we get A = LQUP = LSP, see e.g. http://www.ens-lyon.fr/LIP/Pub/Rapports/RR/RR2006/RR2006-28.pdf
  // P and Q are permutation info using LAPACK's convention:, see
  // http://www.netlib.org/lapack/explore-html/d0/d39/_v_a_r_i_a_n_t_s_2lu_2_r_e_c_2dgetrf_8f.html
  // P is n element permutation on column: size(P)=min(m,n); 
  // for 1 <= i <= min(m,n), col i of the  matrix was interchanged with col P(i).
  // Qt is m element permutation on rows (inverse permutation)
  // for 1 <= i <= min(m,n), col i of the  matrix was interchanged with col P(i).
  A->transpose();

  DMat<M2::ARingZZpFFPACK> *mat = A->coerce< DMat<M2::ARingZZpFFPACK> >();
  if (mat == 0) 
    {
      throw exc::engine_error("LUDivine not defined for this ring");
      //      ERROR("LUDivine not defined for this ring");
      //      return 0;
    }
  size_t nelems = mat->numColumns();
  if (mat->numRows() < mat->numColumns()) nelems = mat->numRows();
 

  std::vector<size_t> P(nelems, -1);
  std::vector<size_t> Qt(nelems, -1);
  
  // ignore return value (rank) of:
  LUdivine(mat->ring().field(),
                       FFLAS::FflasNonUnit,
                       (transpose ? FFLAS::FflasTrans : FFLAS::FflasNoTrans),
                       mat->numRows(),
                       mat->numColumns(),
                       mat->array(),
                       mat->numColumns(),
                       &P[0], 
                       &Qt[0]);

  engine_RawArrayIntPairOrNull result = new engine_RawArrayIntPair_struct;
  result->a = stdvector_to_M2_arrayint(Qt);
  result->b = stdvector_to_M2_arrayint(P);

  return result;
#endif
  return 0;
}