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casadi / casadi

Star 948

CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python or Matlab/Octave.

python c-plus-plus library modular optimization matlab mathematics nonlinear octave numerical-calculations scientific-computing derivatives code-generation parameter-estimation academic-project optimal-control symbolic-manipulation algorithmic-differentation nonlinear-programming
  • Updated Apr 7, 2022
  • C++
optimization-engine

alphaville / optimization-engine

Star 243
Open

WASM Support

7
AndrewJSchoen
AndrewJSchoen commented Nov 11, 2021

Is your feature request related to a problem? Please describe.
I am working on a project that uses this crate, and we are looking to deploy the project in WebAssembly for use on the web. However, it appears that this library is not currently setup to handle this, and as such it prevents this from being possible as-is.

Describe the solution you'd like
I know of [one fork of this repo]

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enhancement good first issue rust

RLGC-Project / RLGC

Star 68
Open

Cannot test codes due to outdated documentation

3
ayansengupta17
ayansengupta17 commented Nov 12, 2020

Documentation for running codes:

source activate
cd RLGC/src/py
python trainIEEE39LoadSheddingAgent_discrete_action.py

Problems and custom fixes:

  1. There is no file folder src/ as py/
  2. I found "trainIEEE39LoadSheddingAgent_discrete_action.py " under examples/IEEE39_load_shedding
  3. Running the file "trainIEEE39LoadSheddingAgent_discrete_action.py" throws import
Read more
help wanted good first issue question

wanxinjin / Pontryagin-Differentiable-Programming

Star 59

A unified end-to-end learning and control framework that is able to learn a (neural) control objective function, dynamics equation, control policy, or/and optimal trajectory in a control system.

reinforcement-learning machine-learning-algorithms motion-planning dynamical-systems control-systems trajectory-optimization optimal-control system-identification imitation-learning inverse-reinforcement-learning end-to-end-learning differentiable-programming reinforcement-learning-environments learning-control pontryagin-maximum-principle
  • Updated Mar 18, 2022
  • Python

pronenewbits / Arduino_Constrained_MPC_Library

Star 49

A compact Constrained Model Predictive Control (MPC) library with Active Set based Quadratic Programming (QP) solver for Teensy4/Arduino system (or any real time embedded system in general)

arduino real-time microcontroller embedded control teensy cpp controller realtime embedded-systems constrained-optimization mpc mcu optimal-control control-theory quadratic-programming model-predictive-control teensy40
  • Updated May 3, 2020
  • C++

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