Discover @ketch Open Source projects

David Ketcheson (@ketch)

ketch

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410
Global Rank 66,181 (Top 3 %)
Followers 196
Registered about 13 years ago
Most used languages

Jupyter Notebook
51.4 %

Python
28.6 %

Mathematica 5.7 %

MATLAB
2.9 %

CSS
2.9 %

JavaScript
2.9 %

HTML
2.9 %

Fortran
2.9 %
Location 🇸🇦 Saudi Arabia
Country Total Rank 25
Country Ranking

Mathematica 1

MATLAB
3

CSS
4

Fortran
5

Jupyter Notebook
6

Python
21

JavaScript
52

HTML
179

nodepy

Analysis of initial value ODE solvers

HyperPython

A brief and practical introduction to the solution of hyperbolic conservation laws

Jupyter Notebook

finite-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.

Jupyter Notebook

RK-Opt

A package for the design of numerical ODE solvers

numerical_linear_algebra_notebooks

IPython notebooks with supplementary material to accompany the textbook by Trefethen & Bau.

Jupyter Notebook

teaching-numerics-with-notebooks

Teaching numerical methods with IPython notebooks: a tutorial prepared for Scipy 2014

labnotebook

Source code and version history for my online lab notebook

Jupyter Notebook

numipedia

An encyclopedia of numerical integrators. Experimental.

tex2_rst_html

Convert latex and bibtex to restructured text.

AMCS-252-2023

Jupyter Notebook

DEML

Material for a course on differential equations in machine learning

Jupyter Notebook

RRK_rr

Reproducibility for paper on relaxation RK methods and inner-product norms.

Jupyter Notebook

sage2ipython

Simple conversion of SAGE worksheets to IPython notebooks.

AMCS-394D-2023

Materials for a course on nonlinear waves

Jupyter Notebook

scinet

Simple Python tools for analyzing scientific collaboration networks

AMCS-252-2021

Jupyter Notebook

circular_hydraulic_jump

Simulations of a circular hydraulic jump arising from a jet.

Jupyter Notebook

AMCS252-2014

Materials for KAUST AMCS 252 students (Spring 2014)

Jupyter Notebook

optimized-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)

Jupyter Notebook

conservation-laws-course-2019

Materials for AMCS 333 in Spring 2019 (KAUST)

Jupyter Notebook

AMCS-252-2020

Resources for the KAUST course AMCS 252 (numerical methods for differential equations)

Jupyter Notebook

covid-blog-posts

A series of blog posts about modeling the COVID-19 epidemic using the SIR model

griddle

Tools for data on structured grids

AMCS-252-2024

Course on numerical methods for differential equations

Jupyter Notebook

AMCS-333-2024

Course on hyperbolic conservation laws and numerical methods

runge-kutta-order-conditions

Expository notes on the derivation of order conditions for Runge-Kutta and related methods, originally developed in 2008-2011.

Jupyter Notebook

implicit-advection-positivity

Positivity of some implicit discretizations of the advection equation

positiveRK

Jupyter Notebook

AMCS-333-2022

Positive_RK_Reproducibility

Code to reproduce examples from paper on positivity-preserving adaptive Runge-Kutta methods

Jupyter Notebook

SIR-control-code

Jupyter Notebook

shallow_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"

high_order_RK_RR

Code for reproducing experiments in http://arxiv.org/abs/1305.6165

rock-solid-code-demo

A demo of best practices for reliable scientific code.