osqp

The Operator Splitting QP Solver (by osqp)
Add to my DEV experience Optimization quadratic-programming convex-optimization Machine Learning Lasso Svm Control model-predictive-control portfolio-optimization Solver numerical-optimization
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osqp.org
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Osqp Alternatives

Similar projects and alternatives to osqp

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better osqp alternative or higher similarity.
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osqp reviews and mentions

Posts with mentions or reviews of osqp. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-20.
  • Best/Any Convex Optimization Solver for Rust?
    1 project | /r/rust | 31 May 2023
    There's also two bindings for the osqp library (which is written in C), osqp published 2 years ago and osqp-rust published 3 months ago. I don't know what are the differences between them, but they both target osqp 0.6.2 (released in 2021) while the last released version is osqp 0.6.3 which was released last week.
  • Cvxpy probs
    1 project | /r/optimization | 28 Mar 2023
    Cvxpy is overkill for a standard quadratic program. I’d recommend trying OSQP https://osqp.org which can take advantage of sparsity.
  • Ask HN: Do you use an optimization solver? Which one? Why? Do you like it?
    12 projects | news.ycombinator.com | 20 Apr 2022
    I have been using OSQP [1] quite a bit in a project where I needed to solve many quadratic programs (QPs). When I started the project, OSQP didn't exist yet; I ended up using both cvxopt and MOSEK; both were frustratingly slow.

    After I picked up the project again a year later, I stumbled across the then new OSQP. OSQP blew both cvxopt and MOSEK out of the water (up to 10 times faster) in terms of speed and quality of the solutions. Plus the C interface was quite easy to use and super easy (as far as numerics C code goes) to integrate into my larger project.

    [1] https://osqp.org/

  • What's the industry standard "fast" library for optimization methods?
    2 projects | /r/optimization | 19 Dec 2021
    For quadratic programming—which is a class of problems in convex optimization, which is a sub-field of numerical optimization in general—a solver that is frequently used is OSQP. Although it is implemented in C++ you can also use it in Python thanks to its bindings. If your goal is to use a solver that's state-of-the-art and relatively versatile it is a good pick. If your goal is to find the best solver for a given problem, then there is no one-stop-shop. For example in this benchmark OSQP was the best-performing solver for sparse problems but quadprog performed better on dense problems.
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    www.saashub.com | 1 May 2024
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Stats

Basic osqp repo stats
4
1,565
8.1
7 days ago

osqp/osqp is an open source project licensed under Apache License 2.0 which is an OSI approved license.

The primary programming language of osqp is C.

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