Direct and Inverse Solver for Kinetic Capillary Electrophoresis (KCE)
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Updated
Jul 7, 2017 - MATLAB
Direct and Inverse Solver for Kinetic Capillary Electrophoresis (KCE)
Euler's Method in Python to approximate solution of IVPs (differential equations)
Simple program that solves specified differential equation using finite element method, written in Python
Lecuture notes on practical methods for ordinary differential equations
Solvers for finite element discretizations of PDEs in the SciML scientific machine learning ecosystem
Monte Carlo simulation routines for high-performance parallelization of differential equation solvers and scientific machine learning
Provides a solution for any resolvable differential equation with a degree n>1, using Euler or RK4 methods.
Automatic detection of sparsity in pure Julia functions for sparsity-enabled scientific machine learning (SciML)
Linear operators for discretizations of differential equations and scientific machine learning (SciML)
A general purpose numerical simulator supporting nested dynamical systems and a convenient macro-based data logger.
Solving differential equations in Python using DifferentialEquations.jl and the SciML Scientific Machine Learning organization
A library for building differential equations arising from physical problems for physics-informed and scientific machine learning (SciML)
Delay differential equation (DDE) solvers in Julia for the SciML scientific machine learning ecosystem. Covers neutral and retarded delay differential equations, and differential-algebraic equations.
Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.
Interface to DASKR, a differential algebraic system solver for the SciML scientific machine learning ecosystem
Solves stiff differential algebraic equations (DAE) using variable stepsize backwards finite difference formula (BDF) in the SciML scientific machine learning organization
A scientific machine learning (SciML) wrapper for the FEniCS Finite Element library in the Julia programming language
Solvers for stochastic differential equations which connect with the scientific machine learning (SciML) ecosystem
Differential equation problem specifications and scientific machine learning for common financial models
Julia interface to Sundials, including a nonlinear solver (KINSOL), ODE's (CVODE and ARKODE), and DAE's (IDA) in a SciML scientific machine learning enabled manner
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