Expand description
Sparsity-aware algorithms for large-scale least squares problems
This module implements algorithms specifically designed for sparse least squares problems, where the Jacobian matrix has many zero entries. These methods are essential for large-scale problems where standard dense methods become computationally prohibitive.
Structs§
- Sparse
Info - Information about sparsity in the problem
- Sparse
Matrix - Sparse matrix representation using compressed sparse row (CSR) format
- Sparse
Options - Options for sparse least squares algorithms
- Sparse
Result - Result from sparse least squares optimization
Functions§
- lsqr
- LSQR algorithm for sparse least squares
- sparse_
least_ squares - Solve sparse least squares problem using iterative methods