optimization-engine
Optimization solver
A solver for nonconvex optimization problems in embedded systems and robotics
Nonconvex embedded optimization: code generation for fast real-time optimization + ROS support
517 stars
15 watching
55 forks
Language: Rust
last commit: about 1 month ago
Linked from 1 awesome list
code-generationcode-generatorembedded-optimizationembedded-systemsmatlab-toolboxmodel-predictive-controlmpcnmpcnonconvexnonconvex-optimizationnonlinear-model-predictive-controlnonlinear-optimizationoptimal-controlpythonroboticsrustrust-craterust-librarysolversolver-library
ly0n/awesome-robotic-toolingRelated projects:
| Repository | Description | Stars |
|---|---|---|
 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 |
 bimk/platemo | An evolutionary multi-objective optimization platform that provides a comprehensive set of algorithms and benchmark problems for researchers and developers. | 1,671 |
 100/solid | A comprehensive framework for solving optimization problems without gradient calculations. | 575 |
 cicirello/chips-n-salsa | A comprehensive Java library of local search algorithms with customization and hybridization capabilities | 60 |
 eniac/otti | A compiler and solver for optimization problems using zkSNARKs | 6 |
 hiroyuki-kasai/gdlibrary | A collection of unconstrained optimization algorithms implemented in MATLAB | 67 |
 jiangoforit/yellowfin_pytorch | An optimizer that automatically tunes momentum and learning rate using local quadratic approximation. | 287 |
 ethz-pes/multi_objective_optimization_matlab | A MATLAB toolset for multi-objective optimization using genetic algorithms and other methods. | 53 |
 max22-/uxnbruteforce | An optimized search tool for finding efficient code snippets in the UXN programming language | 8 |
 maxhalford/eaopt | An evolutionary optimization library that provides multiple algorithms and interfaces to solve complex optimization problems using genetic and other optimization techniques. | 890 |
 moskomule/eve.pytorch | An implementation of an optimization algorithm inspired by a 2016 research paper | 33 |
 lge-arc-advancedai/auptimizer | Automates model building and deployment process by optimizing hyperparameters and compressing models for edge computing. | 200 |
 acerbilab/bads | An optimization algorithm designed to fit computational models in the absence of gradient information or noisy objective functions. | 246 |
| hiroyuki-kasai/sgdlibrary | A collection of stochastic optimization algorithms for large-scale machine learning problems | 221 |
 uts-ri/matlab-graph-optimization | A Matlab-based optimization framework for nonlinear least squares problems | 68 |