PySCIPOpt
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PySCIPOpt | pulp | |
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5 | 19 | |
743 | 1,940 | |
2.7% | 2.4% | |
9.5 | 7.2 | |
8 days ago | 9 days ago | |
JetBrains MPS | Python | |
MIT License | GNU General Public License v3.0 or later |
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PySCIPOpt
- GitHub - scipopt/PySCIPOpt: Python interface for the SCIP Optimization Suite
- Python Interface for the SCIP Optimization Suite
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Rust or C/C++ to learn as a secondary language?
It’s impossible to recommend the right tool for the job, and honestly, depending on how much maths you know it might be hard to make progress, but I’d put money on a constraint solver reducing the time from hours to seconds. Can recommend this one https://github.com/scipopt/PySCIPOpt
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Python open-source solvers
I guess that pySCIP might be what you are looking for. Note that SCIP only supports linear objectives. However, since quadratic constraints are supported, you can easily use an auxiliary constraint to present the objective, e.g. min z s.t. z <= x*x.
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Error installing pyscipopt
From the docs (https://github.com/scipopt/PySCIPOpt/blob/master/INSTALL.md#installation-from-pypi)
pulp
- Algorithms - Researchers Approach New Speed Limit for Seminal Problem
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pulp VS timefold-solver - a user suggested alternative
2 projects | 4 Jan 2024
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References
Optimization with PuLP
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[2022 Day #19] I think I'll just lol-nope out of it
Now I have used Pulp library, which I guess does the heavy lifting.
- Python OR packages
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Operations research packages
Pyomo, it even has its own book. Additionally, CVXOPT focuses on convex optimization, PuLP on linear programming (it has lots of interfaces for other solvers).
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Successful Compiling COIN-OR CBC solver with Python Pulp ARM64
After installing https://github.com/coin-or/pulp via pip I failed to use the built-in cbc solver. Pulp comes with prebuilt binaries for Linux x32 & x64 but not for ARM, so it threw error while solving problem.
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Finding optimal inventory levels for clothing retailer.
Python has few libraries, one that I used it is PULP but there are others and as mentioned above, MS Excel has the Solver plugin to do it. Hope is hepful.
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Optimal number of muffins to produce
Hi, you should use an optimization linear programming package, also MS excel. With solver, if you use Python try to read the Documentaton of PULP library here is the link PULP Library Python hope it helps
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flopt: powerful optimization modeling tool
There are some optimization modeling tools, Pulp andScipy are known for linear programming (LP) modeling, CVXOPT and Pyomo for quadratic programming (QP).
What are some alternatives?
pyomo - An object-oriented algebraic modeling language in Python for structured optimization problems.
rust-ndarray - ndarray: an N-dimensional array with array views, multidimensional slicing, and efficient operations
Bonmin - Basic Open-source Nonlinear Mixed INteger programming
Zeratool - Automatic Exploit Generation (AEG) and remote flag capture for exploitable CTF problems
gopy - gopy generates a CPython extension module from a go package.
pulp_ansible - A Pulp plugin that manages Ansible content, i.e. roles, collections
pyimgui - Cython-based Python bindings for dear imgui
manim-rubikscube - A Manim implementation of the classic Rubik's Cube
mypyc - Compile type annotated Python to fast C extensions
zebra4j - zebra4j is a generator and solver library for Zebra puzzles, also knows as "logic grid puzzles".