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r-dfoptim

Community

Derivative-Free optimization algorithms. These algorithms do not require gradient information. More importantly, they can be used to solve non-smooth optimization problems.

Installation

To install this package, run one of the following:

Conda
$conda install conda-forge::r-dfoptim

Usage Tracking

2023.1.0
2020.10_1
2018.2_1
2017.12_1
4 / 8 versions selected
Downloads (Last 6 months): 0

About

Summary

Derivative-Free optimization algorithms. These algorithms do not require gradient information. More importantly, they can be used to solve non-smooth optimization problems.

Last Updated

Aug 23, 2023 at 19:56

License

GPL-2.0-or-later

Total Downloads

88.0K

Supported Platforms

noarch

Unsupported Platforms

win-64 Last supported version: 2017.12_1
linux-64 Last supported version: 2017.12_1
macOS-64 Last supported version: 2017.12_1