ipoptjlr
Optimization tool
A software package providing an interface to the Ipopt nonlinear solver in R, enabling optimization and solving complex mathematical problems.
6 stars
2 watching
1 forks
Language: R
last commit: about 6 years ago ipoptoptimizationr
Related projects:
| Repository | Description | Stars |
|---|---|---|
| non-contradiction/convexjlr | An R package that provides a high-level wrapper for the Julia convex optimization library Convex.jl to solve various convex programming problems. | 14 |
 grid-parity-exchange/egret | A Python-based package for solving optimization problems in power systems | 135 |
 stevengj/nlopt | Provides a unified interface to multiple nonlinear optimization algorithms for global and local problem-solving in various fields | 1,908 |
| non-contradiction/autodiffr | Automates differentiation of R functions using Julia | 23 |
 rflamary/nonconvex-optimization | A Matlab toolbox providing a generic solver for proximal gradient descent in convex and non-convex optimization problems with various regularization terms. | 49 |
 ethz-adrl/ifopt | An Eigen-based C++ interface to nonlinear programming solvers | 790 |
 nicolasboumal/manopt | A Matlab toolbox for optimizing functions on geometric spaces defined by constraints or regularization terms | 316 |
 metaopt/torchopt | An efficient library for differentiable optimization built on top of PyTorch. | 554 |
 project-pareto/project-pareto | An optimization framework for managing produced water and its beneficial reuse | 18 |
 vindaar/nimnlopt | A wrapper around the Nlopt nonlinear optimization library for Nim programming language | 16 |
 yelp/moe | An optimization tool for finding parameters in complex systems with expensive or time-consuming evaluation processes. | 1,309 |
 cvxopt/cvxopt | A Python software suite for solving convex optimization problems | 993 |
 jnagy1/irtools | A collection of iterative regularization methods and large-scale test problems for linear inverse problems. | 88 |
 jiangoforit/yellowfin_pytorch | An optimizer that automatically tunes momentum and learning rate using local quadratic approximation. | 287 |
 locuslab/optnet | A PyTorch module that adds differentiable optimization as a layer to neural networks | 517 |