bicgstab | % This procedure attempts to solve a system of linear equations A*x = b for x. |
cgs | % This procedure attempts to solve a system of linear equations A*x = b for x. |
colperm | % Returns the column permutations such that the columns of |
etreeplot | % Plot the elimination tree of the matrix @var{s} or |
gplot | % Plot a graph defined by @var{A} and @var{xy} in the graph theory |
nonzeros | % Returns a vector of the non-zero values of the sparse matrix @var{s}. |
normest | % Estimate the 2-norm of the matrix @var{a} using a power series |
pcg | % |
pcr | % |
spalloc | % Returns an empty sparse matrix of size @var{r}-by-@var{c}. As Octave |
spaugment | % Creates the augmented matrix of @var{a}. This is given by |
spconvert | % This function converts for a simple sparse matrix format easily |
spdiags | % A generalization of the function @code{diag}. Called with a single |
speye | % Returns a sparse identity matrix. This is significantly more |
spfun | % Compute @code{f(@var{x})} for the non-zero values of @var{x}. |
sphcat | % Return the horizontal concatenation of sparse matrices. This function |
spones | % Replace the non-zero entries of @var{x} with ones. This creates a |
sprand | % Generate a random sparse matrix. The size of the matrix will be |
sprandn | % Generate a random sparse matrix. The size of the matrix will be |
sprandsym | % Generate a symmetric random sparse matrix. The size of the matrix will be |
spstats | % Return the stats for the non-zero elements of the sparse matrix @var{s}. |
spvcat | % Return the vertical concatenation of sparse matrices. This function |
spy | % Plot the sparsity pattern of the sparse matrix @var{x}. If the argument |
svds | % |
treelayout | % treelayout lays out a tree or a forest. The first argument @var{Tree} is a vector of |
treeplot | % Produces a graph of tree or forest. The first argument is vector of |