mize
Unconstrained Numerical Optimization Algorithms
Optimization algorithms implemented in R, including conjugate gradient (CG), Broyden-Fletcher-Goldfarb-Shanno (BFGS) and the limited memory BFGS (L-BFGS) methods. Most internal parameters can be set through the call interface. The solvers hold up quite well for higher-dimensional problems.
- Version0.2.4
- R versionunknown
- LicenseBSD 2-clause License
- LicenseLICENSE
- Needs compilation?No
- Last release08/30/2020
Documentation
Team
James Melville
Insights
Last 30 days
Last 365 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Suggests4 packages
- Reverse Imports3 packages