Sparse type

The Sparse Type module provides tools for creating and manipulating sparse matrices in Nelson.

It supports efficient storage and computation for matrices with a large number of zero elements, including conversion between sparse and full representations, generation of special sparse matrices, and access to nonzero elements.

This module enables memory-efficient handling of large datasets and optimized numerical operations on sparse structures.

Functions

• IJV - Returns I,J,V triplets from a sparse matrix.

• full - Sparse to full matrix conversion.

• nnz - Return the number of nonzero elements.

• nzmax - Reserved size for nonzero elements.

• sparse - Sparse matrix definition.

• speye - Sparse identity matrix.

• spones - Replaces non zero sparse matrix elements with ones.

• sprand - Sparse uniformly distributed random matrix.

• sprandn - Sparse normally distributed random matrix.