Data

Tools

Indexes

Applications

Experiments

Packages

An open API service providing package, version and dependency metadata of many open source software ecosystems and registries.

OptimizationPolyalgorithms

Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Quadratic, Convex, Mixed-Integer, and Nonlinear Optimization in one simple, fast, and differentiable interface.

Ecosystem
juliahub.com
Latest Release
0.3.5
27 days ago
Versions
11
Downloads
119 total
Dependent Packages
2
Past Dependents
Include Past Dependents

Check this option to include packages that no longer depend on this package in their latest version but previously did.

Filter
Filter by Kind
All kinds
Links
Registry juliahub.com
Source Repository
Homepage Homepage
Docs Documentation
JSON API View JSON
CodeMeta codemeta.json
Package Details
PURL pkg:julia/OptimizationPolyalgorithms
spec
License MIT
First Release over 3 years ago
Last Synced 4 days ago
Keywords
optimization local-optimization global-optimization automatic-differentiation algorithmic-differentiation sciml scientific-machine-learning hacktoberfest julia mixed-integer-programming nonlinear-optimization convex-optimization derivative-free-optimization
Repository
Stars 803 on GitHub
Forks 100 on GitHub
Commits 1583
Committers 71
Avg per Author 22.296
DDS 0.53
commits.ecosyste.ms
repos.ecosyste.ms
Rankings on juliahub.com
Overall Top 7.5%
Forks Top 2.1%
Funding
https://github.com/sponsors/SciML