There are no reviews yet. Be the first to send feedback to the community and the maintainers!
nodepy
Analysis of initial value ODE solversHyperPython
A brief and practical introduction to the solution of hyperbolic conservation lawsfinite-difference-course
Material for a course on finite difference methods for differential equations.PseudoSpectralPython
A short course in pseudospectral collocation methods for wave equations, with implementations in Python.RK-Opt
A package for the design of numerical ODE solversnumerical_linear_algebra_notebooks
IPython notebooks with supplementary material to accompany the textbook by Trefethen & Bau.teaching-numerics-with-notebooks
Teaching numerical methods with IPython notebooks: a tutorial prepared for Scipy 2014numipedia
An encyclopedia of numerical integrators. Experimental.tex2_rst_html
Convert latex and bibtex to restructured text.AMCS-252-2023
DEML
Material for a course on differential equations in machine learningRRK_rr
Reproducibility for paper on relaxation RK methods and inner-product norms.sage2ipython
Simple conversion of SAGE worksheets to IPython notebooks.scinet
Simple Python tools for analyzing scientific collaboration networksAMCS-252-2021
circular_hydraulic_jump
Simulations of a circular hydraulic jump arising from a jet.griddle
Tools for data on structured gridsAMCS252-2014
Materials for KAUST AMCS 252 students (Spring 2014)AMCS-252-2024
Course on numerical methods for differential equationsAMCS-333-2024
Course on hyperbolic conservation laws and numerical methodsoptimized-erk-sd-rr
Reproducibility repository for the paper "Optimized explicit Runge-Kutta schemes for the spectral difference method applied to wave propagation problems"; see http://dx.doi.org/10.1137/120885899.BSeries
AMCS-252-2022
Course materials for KAUST AMCS 252 (Spring 2022)conservation-laws-course-2019
Materials for AMCS 333 in Spring 2019 (KAUST)SIR-control-code
AMCS-252-2020
Resources for the KAUST course AMCS 252 (numerical methods for differential equations)covid-blog-posts
A series of blog posts about modeling the COVID-19 epidemic using the SIR modelrunge-kutta-order-conditions
Expository notes on the derivation of order conditions for Runge-Kutta and related methods, originally developed in 2008-2011.implicit-advection-positivity
Positivity of some implicit discretizations of the advection equationpositiveRK
AMCS-333-2022
Positive_RK_Reproducibility
Code to reproduce examples from paper on positivity-preserving adaptive Runge-Kutta methodshigh_order_RK_RR
Code for reproducing experiments in http://arxiv.org/abs/1305.6165shallow_water_bathymetry_effective_medium_RR
Code to reproduce figures from the paper "An effective medium equation for weakly nonlinear shallow water waves over periodic bathymetry"rock-solid-code-demo
A demo of best practices for reliable scientific code.Love Open Source and this site? Check out how you can help us