/*! \brief Solve system of linear equations
  Subroutine to solve the matrix equation lu*x=b where l is a unit
  lower triangular matrix and u is an upper triangular matrix both
  of which are stored in a.  the rhs vector b is input and the
  solution is returned through vector b.   (matrix transposed)
*/
void solve_lapack( int n, complex_array& a, int_array& ip,
    complex_array& b, int64_t ndim )
{
  DEBUG_TRACE("solve_lapack(" << n << "," << ndim << ")");

  int info = clapack_zgetrs (CblasColMajor, CblasNoTrans, 
    n, 1, (void*) a.data(), ndim, ip.data(), b.data(), n);
  
  if (0 != info) {
    /*
      The factorization has been completed, but the factor U is exactly singular,
      and division by zero will occur if it is used to solve a system of equations. 
    */
    throw new nec_exception("nec++: Solving Failed: ",info);
  }
}
Exemple #2
0
	"[container]"
)
{
	typedef
	fcppt::container::dynamic_array<
		int
	>
	int_array;

	int_array array1{
		10
	};

	CHECK(
		std::distance(
			array1.data(),
			array1.data_end()
		)
		==
		10
	);

	CHECK(
		array1.size()
		==
		10u
	);

	int_array array2{
		0
	};
/*! \brief Use lapack to perform LU decomposition
*/
void lu_decompose_lapack(nec_output_file& s_output,  int64_t n, complex_array& a_in, int_array& ip, int64_t ndim)
{
  UNUSED(s_output);
  DEBUG_TRACE("lu_decompose_lapack(" << n << "," << ndim << ")");
  ASSERT(n <= ndim);

#ifdef NEC_MATRIX_CHECK
  cout << "atlas_a = ";
  to_octave(a_in,n,ndim);
#endif

  /* Un-transpose the matrix for Gauss elimination */
  for (int i = 1; i < n; i++ )  {
    int i_offset = i * ndim;
    int j_offset = 0;
    for (int j = 0; j < i; j++ )  {
      nec_complex aij = a_in[i+j_offset];
      a_in[i+j_offset] = a_in[j+i_offset];
      a_in[j+i_offset] = aij;
      
      j_offset += ndim;
    }
  }
  
          
  /* Now call the LAPACK LU-Decomposition
  ZGETRF computes an LU factorization of a general M-by-N matrix A
  *  using partial pivoting with row interchanges.
  *
  *  The factorization has the form
  *     A = P * L * U
  *  where P is a permutation matrix, L is lower triangular with unit
  *  diagonal elements (lower trapezoidal if m > n), and U is upper
  *  triangular (upper trapezoidal if m < n).

  Arguments
  *  =========
  *
  *  M       (input) INTEGER
  *          The number of rows of the matrix A.  M >= 0.
  *
  *  N       (input) INTEGER
  *          The number of columns of the matrix A.  N >= 0.
  *
  *  A       (input/output) COMPLEX*16 array, dimension (LDA,N)
  *          On entry, the M-by-N matrix to be factored.
  *          On exit, the factors L and U from the factorization
  *          A = P*L*U; the unit diagonal elements of L are not stored.
  *
  *  LDA     (input) INTEGER
  *          The leading dimension of the array A.  LDA >= max(1,M).
  *
  *  IPIV    (output) INTEGER array, dimension (min(M,N))
  *          The pivot indices; for 1 <= i <= min(M,N), row i of the
  *          matrix was interchanged with row IPIV(i).
  *
  *  INFO    (output) INTEGER
  *          = 0:  successful exit
  *          < 0:  if INFO = -i, the i-th argument had an illegal value
  *          > 0:  if INFO = i, U(i,i) is exactly zero. The factorization
  *                has been completed, but the factor U is exactly
  *                singular, and division by zero will occur if it is used
  *                to solve a system of equations.
  */
  int info = clapack_zgetrf (CblasColMajor, n, n, 
          (void*) a_in.data(), ndim, ip.data());
  
  if (0 != info) {
    /*
      The factorization has been completed, but the factor U is exactly singular,
      and division by zero will occur if it is used to solve a system of equations. 
    */
    throw new nec_exception("nec++:  LU Decomposition Failed: ",info);
  }
  
  
#ifdef NEC_MATRIX_CHECK
  cout << "atlas_solved = ";
  to_octave(a_in,n,ndim);

  cout << "atlas_ip = ";
  to_octave(ip,n);
#endif
} 
void to_octave(int_array& a, int n)  {
  to_octave(a.data(),n);
}