Expand description
Least squares submodule containing specialized algorithms and loss functions
Re-exports§
pub use main::least_squares;pub use main::Method;pub use main::Options;pub use robust::robust_least_squares;pub use robust::BisquareLoss;pub use robust::CauchyLoss;pub use robust::HuberLoss;pub use robust::RobustLoss;pub use robust::RobustOptions;pub use weighted::weighted_least_squares;pub use weighted::WeightedOptions;pub use bounded::bounded_least_squares;pub use bounded::BoundedOptions;pub use separable::separable_least_squares;pub use separable::LinearSolver;pub use separable::SeparableOptions;pub use separable::SeparableResult;pub use total::total_least_squares;pub use total::TLSMethod;pub use total::TotalLeastSquaresOptions;pub use total::TotalLeastSquaresResult;pub use sparse::lsqr;pub use sparse::sparse_least_squares;pub use sparse::SparseInfo;pub use sparse::SparseMatrix;pub use sparse::SparseOptions;pub use sparse::SparseResult;
Modules§
- bounded
- Bounded-variable least squares optimization
- main
- Least squares optimization
- robust
- Robust least squares methods
- separable
- Separable least squares for partially linear problems
- sparse
- Sparsity-aware algorithms for large-scale least squares problems
- total
- Total least squares (errors-in-variables)
- weighted
- Weighted least squares optimization