# Intel® MKL with Numpy, Scipy, Matlab, C#, Python, NAG and more

The following article explains on using Intel® MKL with Numpy/SciPy, Matlab, C#, Java, Python, NAG, Gromacs, Gnu Octave, PETSc, HPL, HPCC, IMSL etc.
• Apple Mac OS X*
• Linux*
• Microsoft Windows* (XP, Vista, 7)
• .NET*
• C#
• C/C++
• Fortran
• Java*
• Python*
• Principiante
• Intermediário
• Biblioteca kernel de matemática Intel®
• scipy
• numpy
• matlab mkl
• python mkl
• C# mkl
• java mkl
• hpl mkl
• nag mkl
• hpcc mkl
• imsl mkl
• gromacs mkl
• wrf mkl
• Ferramentas de desenvolvimento
• Código aberto
• Otimização
• # p?lange

Returns the value of the 1-norm, Frobenius norm, infinity-norm, or the largest absolute value of any element, of a general rectangular matrix.

# p?lanhs

Returns the value of the 1-norm, Frobenius norm, infinity-norm, or the largest absolute value of any element, of an upper Hessenberg matrix.

# p?lansy, p?lanhe

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

# p?lantr

Returns the value of the 1-norm, Frobenius norm, infinity-norm, or the largest absolute value of any element, of a triangular matrix.

# p?lapiv

Applies a permutation matrix to a general distributed matrix, resulting in row or column pivoting.

# p?laqge

Scales a general rectangular matrix, using row and column scaling factors computed by p?geequ .

# p?laqr0

Computes the eigenvalues of a Hessenberg matrix and optionally returns the matrices from the Schur decomposition.