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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.2.5 |
rolling linux/jammy R-4.5 | mize_0.2.5.tar.gz |
421.8 KiB |
0.2.5 |
rolling linux/noble R-4.5 | mize_0.2.5.tar.gz |
421.8 KiB |
0.2.5 |
rolling source/ R- | mize_0.2.5.tar.gz |
236.4 KiB |
0.2.5 |
latest linux/jammy R-4.5 | mize_0.2.5.tar.gz |
421.8 KiB |
0.2.5 |
latest linux/noble R-4.5 | mize_0.2.5.tar.gz |
421.8 KiB |
0.2.5 |
latest source/ R- | mize_0.2.5.tar.gz |
236.4 KiB |
0.2.5 |
2026-04-26 source/ R- | mize_0.2.5.tar.gz |
236.4 KiB |
0.2.5 |
2026-04-23 source/ R- | mize_0.2.5.tar.gz |
236.4 KiB |
0.2.5 |
2026-04-09 windows/windows R-4.5 | mize_0.2.5.zip |
430.0 KiB |
0.2.4 |
2025-04-20 source/ R- | mize_0.2.4.tar.gz |
234.8 KiB |