Newton and Quasi-Newton optimization with PyTorch
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Updated
Jan 23, 2026 - Python
Newton and Quasi-Newton optimization with PyTorch
Reporting and notifications regarding dependencies and sizes of Fedora-based workloads.
Protein energy minimization and visualizations
Cuts out all unnecessary and optimizes styles in FODS documents to make it much easier to solve conflicts of merging in version control systems.
Curvature-Adaptive Autonomous Basin Climbing for PES exploration
A small script that uses pymoo to create balanced teams
A Python implementation of a genetic algorithm to minimize the sum of squares function, demonstrating evolutionary optimization techniques.
Minimizes Python code using Python's lexical scanning tokenize module.
A simple implementation of the simplex (Nelder-Mead) method of minimzing a function, without derivatives.
DFA minimization algorithm
Linear programming for optimization operations research problems- minimization-maximization
Use the webassets module to manage assets such as CSS and JS files
Numba-accelerated minimization of objective functions.
⚙️ Program slicer based on the Mozilla Lithium Tool for Java (also dubbed as Tandem-FL).
The Quine-McCluskey algorithm is a method used for minimizing Boolean expressions.
A powerful tool for minimizing Boolean functions
A suite for minimizing constraint systems (CNF/DNF/MILP inequalities)
NFOpt is a tool for optimizing network flows by formulating and solving several types of optimization problems as well as multicommodity flow routing.
Comparing and solving transportation cost optimization problems using linear programming
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