Toolkit for discovering and aggregating data for whole-cell modeling
- Updated
Jan 19, 2022 - Python
Toolkit for discovering and aggregating data for whole-cell modeling
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.
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.
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.
"The Universal Law of Coherent Evolution (ERS Framework & PEF Equation) - Demonstrating the inherent generative principles of reality, from pattern formation to consciousness."
🔄 Discover how oscillations emerge as a mathematical necessity in complex systems. A rigorous framework proving C+A=1 with 10^-16 precision. 📊 Visualize adaptability landscapes & spectral fingerprints.
Этот репозиторий содержит материалы для выполнения лабораторных работ по курсу "Моделирование систем" . Здесь вы найдете реализации различных моделей, включая: Моделирование случайных величин. Анализ систем массового обслуживания (СМО). Статистический анализ данных. Сравнение алгоритмов сортировки и другие задачи.
Mathematical modeling and simulation for optimizing parcel pickup efficiency at a campus delivery station.
Unleash the power of mathematics with this interactive Graph Generator! 🧮📈 Visualize Cartesian, Parametric, Polar, and 3D Surface equations dynamically. Simply enter your mathematical expression, tweak the parameters, and watch your graph come to life! 🚀🎨
Agricultural optimization system for CUMCM 2024 Problem C - Progressive modeling from basic LP to advanced correlation optimization with uncertainty handling and strict constraint validation.
Python + Pyomo implementation of the problems in the book "Model building in mathematical programming" by H. Paul Williams
🚀 微分方程数值求解工具集:变量分离法与齐次方程求解器 基于数值积分与求根算法的一阶常微分方程求解工具,支持变量分离型方程(dy/dx = f(x)g(y))和齐次方程(dy/dx = g(y/x))的高精度数值求解,内置误差分析与可视化功能。
pyNeuroML simulation program via BioSimulators-compliant command-line interface and Docker container
Software and data associated with the article titled, "Binding, Brightness, or Noise? Extracting Temperature-dependent Properties of Dye Bound to DNA," Biophys. J. Accepted, (2023). doi:10.1016/j.bpj.2023.03.002
Advanced numerical methods & optimization library. Includes custom optimization algorithms, PDE solvers, and multidimensional visualizations.
Recursive Attractor Principle - Biological validation framework
A relationship of predator and prey population density described using Lotka-Volterra model.
A collection of classes that solve common quantitative biology problems and plot the results via plot.ly
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