O

optimization

Generic Engine for Multi-disciplinary Scenarios, Exploration and Optimization.

Thumbnailer web service generates file thumbnails and optimizes media files: https://thumbnailer.pommalabs.xyz/

Altbacken allows for optimization using simulated annealing.

Source code for shyft.

Time-series for python and c++, including distributed storage and calculations Hydrologic Forecasting Toolbox, high-performance flexible stacks, including calibration Energy-market models and micro services

STOLP — Стандартные Технологии Организации Линейного Программирования. Пакет stolp предназначен для расширения возможностей работы с оптимизационными моделями на Pyomo

The efficient alternative to Neural Networks. Implements SLRM (Segmented Linear Regression Model) for neural compression and non-linear data modeling, achieving high precision with a fraction of the parameters of a traditional ANN.

An open-source optimization tool for interstitial photodynamic therapy planning to determine the number of light diffusers needed, their powers, and their positions.

Analysis and Optimization of Truss Structures using Genetic Algorithms

Numerical methods

🚀 IronFox browser optimized for ARM/Snapdragon processors

• NEON SIMD instructions for 25-40% faster text processing • Direct GPU text rendering bypassing Android stack (40-60% faster) • Mobile-optimized DOM algorithms (20-35% faster) • VP9 video decoding optimizations (15-25% faster) • jQuery-like performance enhancements

Targets: Qualcomm Snapdragon, ARM Cortex-A78/A77/A76, OpenGL ES 3.0+

Fast, non-iterative estimation of fitting parameters for common functions

A Python interface to conic optimization solvers.

A simple benchmark functions collection in Python, suited for assessing the performances of optimisation problems

Cтандартизация разработки и ведения проектов математической оптимизации.

Este proyecto contiene material de la materia Introducción a la Investigación Operativa y Optimización, dictada por el Departamento de Computación de la Facultad de Ciencias Exactas y Naturales de la UBA.

This project provides optimal control and reinforcement learning implementations to optimize vaccination and testing resource allocation problems on networks.

Tools to explore the Potential Energy Surface (PES) for atomic and molecular systems and generate candidate structures for the local and global minima.