WaveNCC
pybobyqa
Our great sponsors
WaveNCC | pybobyqa | |
---|---|---|
32 | 1 | |
4 | 70 | |
- | - | |
7.1 | 5.8 | |
almost 2 years ago | 16 days ago | |
Python | Python | |
MIT License | GNU General Public License v3.0 only |
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.
WaveNCC
-
A Python program to compute the normalization coefficients of a given set of orthogonal 1-D complex wave functions
Github repository: https://github.com/JustWhit3/WaveNCC
- A program to compute the normalization coefficients of a given orthogonal 1-D complex wave function
- r/mathematics •Postato dau/JustWhit3 2 giorni fa A program to compute the normalization coefficients of a given orthogonal 1-D complex wave function
pybobyqa
-
Gradient-Free-Optimizers A collection of modern optimization methods in Python
I've used this, and it works nicely: https://github.com/numericalalgorithmsgroup/pybobyqa. I'd be happy if it were added to your project, then I could just use yours and have access to a bunch of alternatives with the same API.
What are some alternatives?
SchrodingerWellPython - 2D 3D Time independent FDM Schrodinger equation solver for arbitrary shape of well
Hyperactive - An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
mlcourse.ai - Open Machine Learning Course
tf-quant-finance - High-performance TensorFlow library for quantitative finance.
QuTiP - QuTiP: Quantum Toolbox in Python
prima - PRIMA is a package for solving general nonlinear optimization problems without using derivatives. It provides the reference implementation for Powell's derivative-free optimization methods, i.e., COBYLA, UOBYQA, NEWUOA, BOBYQA, and LINCOA. PRIMA means Reference Implementation for Powell's methods with Modernization and Amelioration, P for Powell.
algorithms - Minimal examples of data structures and algorithms in Python
PyGenetic - A multi-purpose genetic algorithm written in python
SciPy - SciPy library main repository
Gradient-Free-Optimizers - Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
TheAlgorithms - All Algorithms implemented in Python
BayesianOptimization - A Python implementation of global optimization with gaussian processes.