LayerCake is a framework to design systems of partial differential equations (PDEs), and convert them to ordinary differential equations (ODEs) via Galerkin-type expansions.
An ODE-based Python toolkit for modeling phosphorylation dynamics - parameter estimation, sensitivity analysis, and visualization of kinase-substrate interactions over time.
This repository contains a robust and flexible Python package for solving ordinary differential equations (ODEs). It supports both Runge–Kutta schemes (explicit, DIRK) and BDF multistep methods, with adaptive time-stepping and strong support for sparse Jacobians--making it well-suited for large-scale and stiff problems.
