(octave.info)Sparse Functions

---

Next: Return Types of Operators and Functions Up: Operators and Functions

---

Enter node , (file) or (file)node

22.1.4.1 Sparse Functions
.........................

Many Octave functions have been overloaded to work with either sparse or
full matrices.  There is no difference in calling convention when using
an overloaded function with a sparse matrix, however, there is also no
access to potentially sparse-specific features.  At any time the sparse
matrix specific version of a function can be used by explicitly calling
its function name.

   The table below lists all of the sparse functions of Octave.  Note
that the names of the specific sparse forms of the functions are
typically the same as the general versions with a “sp” prefix.  In the
table below, and in the rest of this article, the specific sparse
versions of functions are used.

Generate sparse matrices:
     “spalloc”, “spdiags”, “speye”, “sprand”, “sprandn”, “sprandsym”

Sparse matrix conversion:
     “full”, “sparse”, “spconvert”

Manipulate sparse matrices
     “issparse”, “nnz”, “nonzeros”, “nzmax”, “spfun”, “spones”, “spy”

Graph Theory:
     “etree”, “etreeplot”, “gplot”, “treeplot”

Sparse matrix reordering:
     “amd”, “ccolamd”, “colamd”, “colperm”, “csymamd”, “dmperm”,
     “symamd”, “randperm”, “symrcm”

Linear algebra:
     “condest”, “eigs”, “matrix_type”, “normest”, “normest1”, “sprank”,
     “spaugment”, “svds”

Iterative techniques:
     “ichol”, “ilu”, “pcg”, “pcr”

Miscellaneous:
     “spparms”, “symbfact”, “spstats”

   In addition all of the standard Octave mapper functions (i.e., basic
math functions that take a single argument) such as “abs”, etc.  can
accept sparse matrices.  The reader is referred to the documentation
supplied with these functions within Octave itself for further details.