Gridap.jl

Documentation of the Gridap library.

Introduction

Gridap provides a set of tools for the grid-based approximation of partial differential equations (PDEs) written in the Julia programming language. The goal is to provide a user friendly interface to a rich set of discretization techniques such as conforming and discontinuous Galerkin methods, embedded domain techniques, and adaptive mesh refinement.

How to use this documentation

• The first step for new users is to visit the Getting Started page.

• A detailed description of the software components is available in the Manual page.

• The API reference is found in the API page.

• Guidelines for developers of the Gridap project is found in the Developer's Guide page.

Tutorials

In addition to these documentation pages, a set of tutorials written in jupyter notebooks will be available.

Julia educational resources

A basic knowledge of the Julia programming language is needed to use the Gridap package. Here, a list of resources to get started with this programming language.

• Official webpage docs.julialang.org
• Official list of learning resources julialang.org/learning