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
514 stars
14 watching
53 forks
Language: Rust
last commit: 14 days ago
Linked from 1 awesome list
code-generationcode-generatorembedded-optimizationembedded-systemsmatlab-toolboxmodel-predictive-controlmpcnmpcnonconvexnonconvex-optimizationnonlinear-model-predictive-controlnonlinear-optimizationoptimal-controlpythonroboticsrustrust-craterust-librarysolversolver-library
Related 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 providing a suite of algorithms and benchmark problems | 1,629 |
100/solid | A comprehensive framework for solving optimization problems without gradient calculations. | 576 |
cicirello/chips-n-salsa | A Java library of algorithms and data structures for optimization problems | 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 | 65 |
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. | 51 |
max22-/uxnbruteforce | Automates the construction of optimized UXN code by searching through all possible combinations to find the most efficient solution. | 8 |
maxhalford/eaopt | An evolutionary optimization library that provides multiple algorithms and interfaces to solve complex optimization problems using genetic and other optimization techniques. | 888 |
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 | 218 |
uts-ri/matlab-graph-optimization | A Matlab-based optimization framework for nonlinear least squares problems | 68 |