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MATLAB Function Reference Volume 1: A - E - Bad Request

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1 <strong>Function</strong>s By Category<br />

1-20<br />

Working with Sparse Matrices<br />

issparse True for sparse matrix<br />

nnz Number of nonzero matrix elements<br />

nonzeros Nonzero matrix elements<br />

nzmax Amount of storage allocated for nonzero matrix elements<br />

spalloc Allocate space for sparse matrix<br />

spfun Apply function to nonzero matrix elements<br />

spones Replace nonzero sparse matrix elements with ones<br />

spparms Set parameters for sparse matrix routines<br />

spy Visualize sparsity pattern<br />

Reordering Algorithms<br />

colamd Column approximate minimum degree permutation<br />

colmmd Column minimum degree permutation<br />

colperm Column permutation<br />

dmperm Dulmage-Mendelsohn permutation<br />

randperm Random permutation<br />

symamd Symmetric approximate minimum degree permutation<br />

symmmd Symmetric minimum degree permutation<br />

symrcm Symmetric reverse Cuthill-McKee permutation<br />

Linear Algebra<br />

cholinc Incomplete Cholesky factorization<br />

condest 1-norm condition number estimate<br />

eigs Eigenvalues and eigenvectors of sparse matrix<br />

luinc Incomplete LU factorization<br />

normest Estimate matrix 2-norm<br />

sprank Structural rank<br />

svds Singular values and vectors of sparse matrix<br />

Linear Equations (Iterative Methods)<br />

bicg BiConjugate Gradients method<br />

bicgstab BiConjugate Gradients Stabilized method<br />

cgs Conjugate Gradients Squared method<br />

gmres Generalized Minimum Residual method<br />

lsqr LSQR implementation of Conjugate Gradients on Normal Equations<br />

minres Minimum Residual method<br />

pcg Preconditioned Conjugate Gradients method<br />

qmr Quasi-Minimal Residual method<br />

spaugment Form least squares augmented system<br />

symmlq Symmetric LQ method

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