Fastrack to Julia cheatsheet

MATLAB-Julia-Python comparative cheatsheet (by QuantEcon group)

Plots.jl cheatsheet

**Numerical Recipes**. Useful reference that also contains a lot of references to "classical" literature on numerics.**Numerical Partial Differential Equations: Finite Difference Methods**, by J. W. Thomas. Mostly about FDM (parabolic/hyperbolic equations, stability analysis, matrix methods).**Numerical heat transfer and fluid flow**, by Patankar. Covers more advanced CFD (Navier-Stokes, pressure-velocity coupling etc.) topics and has intuitive explanations of the finite volume method.**Numerical Computation of Internal and External Flows: The Fundamentals of Computational Fluid Dynamics**, by Hirsh. A comprehensive resource (700-pages) about CFD in particular, not PDE's in general.**Computational Science and Engineering**, by G. Strang (MIT). It develops a framework for the equations and numerical methods of applied mathematics.**Computational methods for Geodynamics**, by P. Tackley (ETHZ). CFD, Stokes equations and finite-difference method (with application to convection - Geodynamics).**Introduction to Numerical Geodynamic Modelling**, by T. Gerya (ETHZ). Diffusion (heat) and Stokes equations derivation and implementation, finite-differences (with application to thermo-mechanical models - Geodynamics).

*any further relevant suggestions are welcome - open a PR*

Solving differential equations in parallel on GPUs @JuliaCon2021:

Advanced GPU Programming with Julia by Sam Omlin (CSCS) and Tim Besard (JuliaComputing)

**material**Solving differential equations in parallel with Julia @EGU2021

Solving Nonlinear Multi-Physics on GPU Supercomputers with Julia @JuliaCon2021:

Julia for High-Performance Computing by Carsten Bauer at High Performance Computing Center Stuttgart (HLRS)

Julia language main website

Julia Discourse (Q&A - help)

Last modified: November 27, 2023. Website built with Franklin.jl and the Julia programming language.