Manual de referencia de MQL5Métodos de matrices y vectoresOpenBLASMatrix NormMatrixNormSy

MatrixNormSy

Returns the value of the 1-norm, infinity-norm, Frobenius norm, or the largest absolute value of any element of a real symmetric or complex Hermitian matrix. LAPACK functions LANSY, LANHE.

Computing for type matrix<double>

bool  matrix::MatrixNormSy(
   ENUM_BLAS_NORMX norm,          // matrix norm
   double&         norm_value     // matrix norm value
   );

Computing for type matrix<float>

bool  matrixf::MatrixNormSy(
   ENUM_BLAS_NORMX norm,          // matrix norm
   float&          norm_value     // matrix norm value
   );

Computing for type matrix<complex>

bool  matrixc::MatrixNormSy(
   ENUM_BLAS_NORMX norm,          // matrix norm
   double&         norm_value     // matrix norm value
   );

Computing for type matrix<complexf>

bool  matrixcf::MatrixNormSy(
   ENUM_BLAS_NORMX norm,          // matrix norm
   float&          norm_value     // matrix norm value
   );

Parameters

norm

[in] Value from the ENUM_BLAS_NORMX enumeration, which specifies the value to be returned by the routine.

norm_value

[out] Calculated matrix norm value.

Return Value

Return true if successful, otherwise false in case of an error.

Note

The input can be a symmetric (Hermitian), upper triangular or lower triangular matrix. Triangular matrices are assumed to be symmetric (Hermitian conjugated).

ENUM_BLAS_NORMX

An enumeration defining which norm calculated.

ID	Description
BLASNORMX_O	'O': One-norm
BLASNORMX_I	'I': Infinity-norm
BLASNORMX_F	'F': Frobenius-norm
BLASNORMX_M	'M': max(abs(A(i,j)))

MatrixNormHessenberg

MatrixNormComplexSy