PowerBiMIP is an open-source, efficient bilevel mixed-integer programming (BiMIP) solver, with a special focus on applications in power and energy systems.

武汉理工大学2020数学建模校内集训/MCM Finallist Award/华中赛省二等资料

Small-signal modeling of Grid-Forming Inverters

VRP-Models-and-Algorithms Models and algorithms for solving Vehicle Routing Problems using optimization and heuristics.

Toolkit for discovering and aggregating data for whole-cell modeling

Ontology of algorithms for analyzing biological models, their parameters, and their outputs

数学建模相关资料

The Systems Biology Ontology (SBO) is a set of controlled, relational vocabularies of terms commonly used in Systems Biology, and in particular in computational modeling.

2023年美国大学生数学建模竞赛 Meritorious Winner 参赛作品

A comprehensive research platform for Physics-Informed Neural Networks (PINNs) featuring 10+ applications including forward/inverse problems, data assimilation, and scientific discovery with interactive web interface.

Software and Data associated with "Reducing Bias and Quantifying Uncertainty in Fluorescence Produced by PCR''

Build GAMS and GAMSPy solver link for NVIDIA cuOpt PDLP solver

Utilities for building standardized command-line interfaces for biosimulation software packages

A GUI-tool for computing Nash flows over time with or without spillback as well as (spillback) thin flows.

EvoEquation: An AlphaEvolve-inspired project using evolutionary symbolic regression to automatically discover mathematical laws governing global carbon intensity from real-world energy data.

Implementation is to use gradient descent to find the optimal values of θ that minimize the cost function.

"Simulations for the paper Mathematical Modeling of the Short Circuit Mode of a Voltage Transformer"

3MC - African Mathematical School on Mathematical Modeling in Biology

This project applies the Firefly Algorithm (FA) to optimize logistics hub selection, aiming to minimize total transportation cost while meeting delivery demands.

Comprehensive exploration of the Bike Sharing Problem using advanced Machine Learning for demand forecasting and Mathematical Linear Optimization for strategic bike allocation. Includes detailed Jupyter notebooks covering model development, analysis, and optimization solutions.