oriolcg

DifferentialEquations.jl

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.

Gridap.jl

Grid-based approximation of partial differential equations in Julia

hardware_introduction

What scientific programmers must know about CPUs and RAM to write fast code.

MeasureTheory.jl

"Distributions" that might not add to one.

ADCME.jl

Automatic Differentiation Library for Computational and Mathematical Engineering

Introductory-Finite-Elements

Introductory course on the Finite Element Method

Tutorials

Start solving PDEs in Julia with Gridap.jl

PartitionedArrays.jl

Large-scale, distributed, sparse linear algebra in Julia.

GridapDistributed.jl

Parallel distributed-memory version of Gridap

mandoline

A robust cut-cell mesh generator for arbitrary triangle-mesh inputs

GridapEmbedded.jl

Embedded finite element methods in Julia

GridapODEs.jl

Time stepping for Gridap

MiniQhull.jl

A small Julia wrapper of the Qhull library

GridapFSI.jl

Gridap drivers for fluid-structure interaction applications

GalerkinToolkit.jl

Finite-element toolbox in Julia

GridapMHD.jl

A Gridap-based FEM solver for the MHD equations

STLCutters.jl

Preferendus

Repository for the paper Van Heukelum et.al (2024)