SciPy
OptaPlanner
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SciPy | OptaPlanner | |
---|---|---|
50 | 30 | |
12,431 | 136 | |
1.7% | 19.1% | |
9.9 | 7.4 | |
5 days ago | 11 days ago | |
Python | Java | |
BSD 3-clause "New" or "Revised" License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
SciPy
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What Is a Schur Decomposition?
I guess it is a rite of passage to rewrite it. I'm doing it for SciPy too together with Propack in [1]. Somebody already mentioned your repo. Thank you for your efforts.
[1]: https://github.com/scipy/scipy/issues/18566
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Fortran codes are causing problems
Fortran codes have caused many problems for the Python package Scipy, and some of them are now being rewritten in C: e.g., https://github.com/scipy/scipy/pull/19121. Not only does R have many Fortran codes, there are also many R packages using Fortran codes: https://github.com/r-devel/r-svn, https://github.com/cran?q=&type=&language=fortran&sort=. Modern Fortran is a fine language but most legacy Fortran codes use the F77 style. When I update the R package quantreg, which uses many Fortran codes, I get a lot of warning messages. Not sure how the Fortran codes in the R ecosystem will be dealt with in the future, but they recently caused an issue in R due to the lack of compiler support for Fortran: https://blog.r-project.org/2023/08/23/will-r-work-on-64-bit-arm-windows/index.html. Some renowned packages like glmnet already have their Fortran codes rewritten in C/C++: https://cran.r-project.org/web/packages/glmnet/news/news.html
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[D] Which BLAS library to choose for apple silicon?
There are several lessons here: a) vanilla conda-forge numpy and scipy versions come with openblas, and it works pretty well, b) do not use netlib unless your matrices are small and you need to do a lot of SVDs, or idek why c) Apple's veclib/accelerate is super fast, but it is also numerically unstable. So much so that the scipy's devs dropped any support of it back in 2018. Like dang. That said, they are apparently are bring it back in, since the 13.3 release of macOS Ventura saw some major improvements in accelerate performance.
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SciPy: Interested in adopting PRIMA, but little appetite for more Fortran code
First, if you read through that scipy issue (https://github.com/scipy/scipy/issues/18118 ) the author was willing and able to relicense PRIMA under a 3-clause BSD license which is perfectly acceptable for scipy.
For the numerical recipes reference, there is a mention that scipy uses a slightly improved version of Powell's algorithm that is originally due to Forman Acton and presumably published in his popular book on numerical analysis, and that also happens to be described & included in numerical recipes. That is, unless the code scipy uses is copied from numerical recipes, which I presume it isn't, NR having the same algorithm doesn't mean that every other independent implementation of that algorithm falls under NR copyright.
- numerically evaluating wavelets?
- Fortran in SciPy: Get rid of linalg.interpolative Fortran code
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Optimization Without Using Derivatives
Reading the discussions under a previous thread titled "More Descent, Less Gradient"( https://news.ycombinator.com/item?id=23004026 ), I guess people might be interested in PRIMA ( www.libprima.net ), which provides the reference implementation for Powell's renowned gradient/derivative-free (zeroth-order) optimization methods, namely COBYLA, UOBYQA, NEWUOA, BOBYQA, and LINCOA.
PRIMA solves general nonlinear optimizaton problems without using derivatives. It implements Powell's solvers in modern Fortran, compling with the Fortran 2008 standard. The implementation is faithful, in the sense of being mathmatically equivalent to Powell's Fortran 77 implementation, but with a better numerical performance. In contrast to the 7939 lines of Fortran 77 code with 244 GOTOs, the new implementation is structured and modularized.
There is a discussion to include the PRIMA solvers into SciPy ( https://github.com/scipy/scipy/issues/18118 ), replacing the buggy and unmaintained Fortran 77 version of COBYLA, and making the other four solvers available to all SciPy users.
- What can I contribute to SciPy (or other) with my pure math skill? I’m pen and paper mathematician
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Emerging Technologies: Rust in HPC
if that makes your eyes bleed, what do you think about this? https://github.com/scipy/scipy/blob/main/scipy/special/specfun/specfun.f (heh)
- Python
OptaPlanner
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OptaPlanner VS timefold-solver - a user suggested alternative
2 projects | 23 Jun 2023
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Resource Scheduling
However, if you need to solve constraints etc., see: https://www.optaplanner.org/
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Anything you wish there was an open source solution for?
Try looking for something built around Optaplanner - basically taking the end game of rostering and working backwards.
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Seeking Advice and Collaboration for an Open-Source Worker Cooperative Platform Project
OptaPlanner takes some of the items tracked in tool like Odoo and creates plans based on them. I.E. how do you manage shifts while juggling multiple constraints (Jerry can only work weekends, Jeff can only work afternoons, Jim can work weekends but only on double time, etc.)
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[Combinatorial Optimization] What is a good algorithm, or genre of algorithms that I should read up on for an optimization problem with a set of sets, where at least one element of each set is required?
There is a library out there called Optaplanner that is designed for optimization of NP complete problems. It is hard to tell if that is exactly what this is, but I think you should be able to use this regardless.
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Searching for something to schedule IT helpdesk shifts
Just stumbled upon https://www.optaplanner.org. Looks very interesting but also really overkill.
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Easy-to-use school scheduling software?
OptaPlanner - a generic scheduler.
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Non profit Healthcare clinic looking for self hosted or cheap cloud alternative employee shift scheduling app?
OptaPlanner
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Self-hosted schedulers?
I've never used it but it sounds like OptaPlanner may be a scheduler in the same vein?
- Algorithm for Assigning Flights to Planes
What are some alternatives?
SymPy - A computer algebra system written in pure Python
Choco - An open-source Java library for Constraint Programming
statsmodels - Statsmodels: statistical modeling and econometrics in Python
or-tools - Google's Operations Research tools:
NumPy - The fundamental package for scientific computing with Python.
jsprit - jsprit is a java based, open source toolkit for solving rich vehicle routing problems
Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
JaCoP - Java Constraint Programming solver
astropy - Astronomy and astrophysics core library
vroom - Vehicle Routing Open-source Optimization Machine
kotlin-statistics - Idiomatic statistical operators for Kotlin