Newton and Quasi-Newton optimization with PyTorch
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Updated
Mar 10, 2024 - Python
Newton and Quasi-Newton optimization with PyTorch
Learn about particle swarm optimization (PSO) through Python!
Implementation of Quine McCluskey algorithm in Python 3
A simple, bare bones, implementation of differential evolution optimization.
Differential evolution global optimization in Python.
Implemented fully documented Particle Swarm Optimization algorithm (basic model with few advanced features) using Python programming language
Sparse Spectrum Gaussian Process Regression
MEML is a simple LISP-like markup language that translates into HTML/CSS
Use the webassets module to manage assets such as CSS and JS files
Conjugate gradients minimization
⚙️ Program slicer based on the Mozilla Lithium Tool for Java (also dubbed as Tandem-FL).
A powerful tool for minimizing Boolean functions
Reporting and notifications regarding dependencies and sizes of Fedora-based workloads.
Library for global optimization of multiextremal nondifferentiable functions.
Minimizes Python code using Python's lexical scanning tokenize module.
Application for global optimization of multiextremal nondifferentiable functions.
NFOpt is a tool for optimizing network flows by formulating and solving several types of optimization problems as well as multicommodity flow routing.
A suite for minimizing constraint systems (CNF/DNF/MILP inequalities)
This project aims to solve the Traveling Salesman Problem (TSP) using a Genetic Algorithm. The TSP involves finding the shortest possible route that visits a set of locations (in this case, Egyptian governorates) and returns to the starting location. We'll apply this algorithm to help Sabry's Dialy, an Egyptian YouTuber, find the closest road betwe
Benchmarks of different minimization algorithms and strategies applied to the VQE model, simulations performed with Qibo
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