Information for RPM levmar-2.5-19.fc31.riscv64.rpm
| ID | 391344 | ||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Name | levmar | ||||||||||||||||||||
| Version | 2.5 | ||||||||||||||||||||
| Release | 19.fc31 | ||||||||||||||||||||
| Epoch | |||||||||||||||||||||
| Arch | riscv64 | ||||||||||||||||||||
| Summary | Levenberg-Marquardt nonlinear least squares algorithm | ||||||||||||||||||||
| Description | levmar is a native ANSI C implementation of the Levenberg-Marquardt optimization algorithm. Both unconstrained and constrained (under linear equations, inequality and box constraints) Levenberg-Marquardt variants are included. The LM algorithm is an iterative technique that finds a local minimum of a function that is expressed as the sum of squares of nonlinear functions. It has become a standard technique for nonlinear least-squares problems and can be thought of as a combination of steepest descent and the Gauss-Newton method. When the current solution is far from the correct on, the algorithm behaves like a steepest descent method: slow, but guaranteed to converge. When the current solution is close to the correct solution, it becomes a Gauss-Newton method. | ||||||||||||||||||||
| Build Time | 2019-07-27 07:57:22 GMT | ||||||||||||||||||||
| Size | 111.94 KB | ||||||||||||||||||||
| e66823b10818e4649019665b8f212c19 | |||||||||||||||||||||
| License | GPLv2+ | ||||||||||||||||||||
| Buildroot | f31-build-58097-28401 | ||||||||||||||||||||
| Provides |
|
||||||||||||||||||||
| Obsoletes | No Obsoletes | ||||||||||||||||||||
| Conflicts | No Conflicts | ||||||||||||||||||||
| Requires |
|
||||||||||||||||||||
| Recommends | No Recommends | ||||||||||||||||||||
| Suggests | No Suggests | ||||||||||||||||||||
| Supplements | No Supplements | ||||||||||||||||||||
| Enhances | No Enhances | ||||||||||||||||||||
| Files |
|
||||||||||||||||||||
| Component of | No Buildroots | ||||||||||||||||||||
