Using the C++ Math Library

Sparse Matrix Functions

Elementary Sparse Matrices 

Function	Purpose
spdiags	Sparse matrix formed from diagonals.
speye	Sparse identity matrix.
sprand	Sparse uniformly distributed random matrix.
sprandn	Sparse normally distributed random matrix.
sprandsym	Sparse random symmetric matrix.

Full to Sparse Conversion 

Function	Purpose
find	Find indices of nonzero elements.
full	Convert sparse matrix to full matrix.
sparse	Create sparse matrix.
spconvert	Import from sparse matrix external format.

 Working with Nonzero Entries of Sparse Matrices

Function	Purpose
issparse	True for sparse matrix.
nnz	Number of nonzero matrix elements.
nonzeros	Nonzero matrix elements.
nzmax	Amount of storage allocated for nonzero matrix elements.
spalloc	Allocate space for sparse matrix.
spfun	Apply function to nonzero matrix elements.
spones	Replace nonzero sparse matrix elements with 1's.

Reordering Algorithms

Function	Purpose
colmmd	Column minimum degree permutation.
colperm	Column permutation.
dmperm	Dulmage-Mendelsohn permutation.
randperm	Random permutation.
symmmd	Symmetric minimum degree permutation.
symrcm	Symmetric reverse Cuthill-McKee permutation.

 Linear Algebra

Function	Purpose
cholinc	Incomplete Cholesky factorization.
condest	1-norm condition number estimate.
eigs	A few eigenvalues.
luinc	Incomplete LU factorization.
normest	Estimate the matrix 2-norm.
svds	A few singular values.

 Linear Equations (Iterative Methods)

Function	Purpose
bicg	BiConjugate Gradients Method.
bicgstab	BiConjugate Gradients Stabilized Method.
cgs	Conjugate Gradients Squared Method.
gmres	Generalized Minimum Residual Method.
pcg	Preconditioned Conjugate Gradients Method.
qmr	Quasi-Minimal Residual Method.

 Miscellaneous

Function	Purpose
spaugment	Form least squares augmented system.
spparms	Set parameters for sparse matrix routines.
symbfact	Symbolic factorization analysis.

Structure Functions

Utility Functions