osqp
| Crates.io | osqp |
| lib.rs | osqp |
| version | |
| source | src |
| created_at | 2017-12-07 12:08:03.426839+00 |
| updated_at | 2025-04-05 19:14:06.482228+00 |
| description | The OSQP (Operator Splitting Quadratic Program) solver. |
| homepage | https://osqp.org/ |
| repository | https://github.com/osqp/osqp.rs/ |
| max_upload_size | |
| id | 42057 |
| Cargo.toml error: | TOML parse error at line 19, column 1 | 19 | autolib = false | ^^^^^^^ unknown field `autolib`, expected one of `name`, `version`, `edition`, `authors`, `description`, `readme`, `license`, `repository`, `homepage`, `documentation`, `build`, `resolver`, `links`, `default-run`, `default_dash_run`, `rust-version`, `rust_dash_version`, `rust_version`, `license-file`, `license_dash_file`, `license_file`, `licenseFile`, `license_capital_file`, `forced-target`, `forced_dash_target`, `autobins`, `autotests`, `autoexamples`, `autobenches`, `publish`, `metadata`, `keywords`, `categories`, `exclude`, `include` |
| size | 0 |
Paul Goulart (goulart-paul)
documentation
https://docs.rs/osqp/0.6.3/
README
osqp.rs
Rust wrapper for OSQP: the Operator Splitting QP Solver.
The OSQP (Operator Splitting Quadratic Program) solver is a numerical optimization package for solving problems in the form
minimize 0.5 x' P x + q' x
subject to l <= A x <= u
where x in R^n is the optimization variable.
The objective function is defined by a positive semidefinite matrix P in S^n_+ and vector q in R^n.
The linear constraints are defined by matrix A in R^{m x n} and vectors l in R^m U {-inf}^m, u in R^m U {+inf}^m.