- introduction
- getting started
- benchmarks (single-threaded)
- benchmarks (multi-threaded)
- user guide
- 1. dense linear algebra
- 1.1. matrix arithmetic
- 1.2. solving a linear system
- 1.3. interoperabilitiy with nalgebra/ndarray
- 2. sparse linear algebra
- 2.1. matrix arithmetic
- 2.2. solving a linear system
3. matrix-free solvers
- dev guide
- 4. matrix types
- 5. lifetime-branded shapes
- 6. simd
7. dense algorithms
7.1. matmul
7.2. cholesky
7.3. qr
7.4. lu
7.5. svd
7.6. evd
7.6.1. self-adjoint evd
7.6.2. general evd
8. sparse algorithms
8.1. matmul
8.2. cholesky
8.3. qr
8.4. lu