The Stan Math Library is a C++ template library for automatic differentiation of any order using forward, reverse, and mixed modes. It includes a range of built-in functions for probabilistic modeling, linear algebra, and equation solving.
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
Solve ODEs fast, with support for PyMC
Mac 日晷屏幕保护，数字时间屏幕保护，Screen Saver
Differentiable Reacting Flow Modeling Software
Unsteady Nonlinear Potential Flow Solver for Ship-Wave Interaction --
Adaptive Mesh Phase-field Evolution
Owl's Differential Equation Solvers
An OCaml interface to the Sundials suite of numeric solvers.
Python (and C++) interface to PartMC with Jupyter/Python, Julia and Matlab examples
Python implementation of solvers for differential algebraic equation's (DAE's) that should be added to scipy one day.
SUNDIALS: For those starting to learn to use the CVODE package. Also contains examples regarding more complex development with SUNDIALS libraries.
R Interface to CVODE/CVODES/IDA functions in the SUNDIALS ODE solving C library
Introduction to Numerical Methods / Ordinary Differential Equations
Píp allows you to discover the amazing world of sundials. Find sundials close to you, learn about their features, and plan out your trip!
Binary library builder for Sundials for the SciML scientific machine learning open source software organization
A sundial library for python. Create an analemmatic sundial in less than 5 minutes.
Chicken Scheme bindings to SUNDIALS (SUite of Nonlinear and DIfferential/ALgebraic equation Solvers)
Library for parallel direct solution of the Chemical Master Equation (CME).
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