- * Multiply sparse matrix with dense vector

- * Multiply sparse matrix with dense matrix

- * Solve linear systems with triangular sparse matrices

- * Solve linear systems with general sparse matrices

A sparse matrix is matrix that is mostly empty, these are common in machine learning applications. Using standard linear algebra functions would lead to poor performance and would require greater amounts of storage. Specially written sparse linear algebra functions have better performance and can better compress matrices to save space.