Optimization-Python VS cocp

Compare Optimization-Python vs cocp and see what are their differences.

Optimization-Python

General optimization (LP, MIP, QP, continuous and discrete optimization etc.) using Python (by tirthajyoti)
Optimization linear-programming integer-programming mixed-integer-programming quadratic-programming Scipy convex-optimization
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cocp

Source code for the examples accompanying the paper "Learning convex optimization control policies." (by cvxgrp)
convex-optimization Learning control-systems differentiable-programming
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Optimization-Python cocp
1 1
221 75
- -
0.0 10.0
over 2 years ago over 1 year ago
Jupyter Notebook Jupyter Notebook
MIT License Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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Optimization-Python

Posts with mentions or reviews of Optimization-Python. We have used some of these posts to build our list of alternatives and similar projects.
  • What is the best DCA Strategy - Part IV (Dynamic DCA)
    1 project | /r/CryptoCurrency | 25 Aug 2021
    One approach to this problem is based on the Nobel prize winning Modern Portfolio Theory (MPT). In fact, there we can use pretty simple code available online: https://github.com/tirthajyoti/Optimization-Python/blob/master/Portfolio_optimization.ipynb. There is a one BIG difference between DCA and MPT though. Here, we do not want to do a one-time purchase and try to gain maximum profit. We are looking at a dual problem, where we want to purchase regularly, while aiming maximum accumulation.

cocp

Posts with mentions or reviews of cocp. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-22.
  • GPT can tune your PID/LQR controllers
    2 projects | /r/ControlTheory | 22 Jun 2023
    I agree and I think I may be able to do what you propose (using COCP). Will share results once I get some. In general I think GPT can be really powerful in translating human feedback in cost functions and constraints for optimization problems.

What are some alternatives?

When comparing Optimization-Python and cocp you can also consider the following projects:

market-making-backtest - algo trading backtesting on BitMEX

lmpc-py

portfolio_allocation_js - A JavaScript library to allocate and optimize financial portfolios.

Algorithms-for-Automated-Driving - Each chapter of this (mini-)book guides you in programming one important software component for automated driving.

JuMP.jl - Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)

analisis-numerico-computo-cientifico - Análisis numérico y cómputo científico

Optimus * 96 - Optimus is a mathematical programming library for Scala.

NextFace - A high-fidelity 3D face reconstruction library from monocular RGB image(s)

psi4numpy - Combining Psi4 and Numpy for education and development.

swift - Swift for TensorFlow

minizinc-python - Access to all MiniZinc functionality directly from Python

Optimization-Python vs market-making-backtest cocp vs lmpc-py Optimization-Python vs portfolio_allocation_js cocp vs Algorithms-for-Automated-Driving Optimization-Python vs JuMP.jl cocp vs analisis-numerico-computo-cientifico Optimization-Python vs Optimus * 96 cocp vs NextFace Optimization-Python vs psi4numpy cocp vs swift Optimization-Python vs analisis-numerico-computo-cientifico Optimization-Python vs minizinc-python