Using the C Math Library

Sparse Matrix Functions

Elementary Sparse Matrices 

Function	Purpose
mlfSpdiags	Sparse matrix formed from diagonals.
mlfSpeye	Sparse identity matrix.
mlfSprand	Sparse uniformly distributed random matrix.
mlfSprandn	Sparse normally distributed random matrix.
mlfSprandsym	Sparse random symmetric matrix.

Full to Sparse Conversion 

Function	Purpose
mlfSpconvert	Import from sparse matrix external format.

 Working with NonZero Entries of Sparse Matrices

Function	Purpose
mlfNnz	Number of nonzero matrix elements.
mlfNonzeros	Nonzero matrix elements.
mlfNzmax	Amount of storage allocated for nonzero matrix elements.
mlfSpalloc	Allocate space for sparse matrix.
mlfSpfun	Apply function to nonzero matrix elements.
mlfSpones	Replace nonzero sparse matrix elements with ones.

Reordering Algorithms

Function	Purpose
mlfColmmd	Column minimum degree permutation.
mlfColperm	Column permutation.
mlfDmperm	Dulmage-Mendelsohn permutation.
mlfRandperm	Random permutation.
mlfSymmmd	Symmetric minimum degree permutation.
mlfSymrcm	Symmetric reverse Cuthill-McKee permutation.

 Linear Algebra

Function	Purpose
mlfCondest	1-norm condition number estimate.
mlfEigs	A few eigenvalues.
mlfNormest	Estimate the matrix 2-norm.
mlfSvds	A few singular values.

 Linear Equations (iterative methods)

Function	Purpose
mlfBicg	BiConjugate Gradients Method.
mlfBicgstab	BiConjugate Gradients Stabilized Method.
mlfCgs	Conjugate Gradients Squared Method.
mlfGmres	Generalized Minimum Residual Method.
mlfPcg	Preconditioned Conjugate Gradients Method.
mlfQmr	Quasi-Minimal Residual Method.

 Miscellaneous

Function	Purpose
mlfSpaugment	Form least squares augmented system.
mlfSpparms	Set parameters for sparse matrix routines.
mlfSymbfact	Symbolic factorization analysis.

Structure Functions

Array Access and Creation Library