The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems
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Updated
May 20, 2024 - Julia
The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems
Easy scientific machine learning (SciML) parameter estimation with pre-built loss functions
🏆 A weekly updated ranked list of popular open-source libraries and tools for Power System Analysis.
A simple but powerful header-only C++ DAE (Differential Algebraic Equation) system solver
Test Set for Initial Value Problems
Geometric Numerical Integration in Julia
Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.
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
Solves stiff differential algebraic equations (DAE) using variable stepsize backwards finite difference formula (BDF) in the SciML scientific machine learning organization
Interface to DASKR, a differential algebraic system solver for the SciML scientific machine learning ecosystem
Modifications of Scipy's implicit solvers for the solution of differential-algebraic equations (DAEs)
Javascript library for defining and solving DAE equations efficiently using WebAssembly
Solving differential equations in Python using DifferentialEquations.jl and the SciML Scientific Machine Learning organization
Solving differential equations in R using DifferentialEquations.jl and the SciML Scientific Machine Learning ecosystem
This project provides a novel combination of the field of differential algebraic equations and deep neural networks, and this combination enables us to add constraints to neural networks. We explore various constraint methods and compare their strengths and weaknesses.
Passivity-preserving model reduction for descriptor systems via spectral factorization
Manipulation of generalized state-space (descriptor) system representations using Julia
Projects to model the catalytic combustion of a hydrogen-oxygen system flowing through a 1D plug flow reactor and a 2D rectangular reactor.
This repository includes numerical integration-based solutions for solving non-linear equations. The solutions include Newton Raphson technique for algebraic equations and Euler's/Modified-Euler's/Runge-Kutta (RK4) for differential algebraic equations.
A C++ port of NetLib's COLDAE
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