Gridap is a new Finite Element (FE) framework, exclusively written in the Julia programming language, for the numerical simulation of a wide range of mathematical models governed by partial differential equations (PDEs). The library provides a feature-rich set of discretization techniques, including continuous and discontinuous FE methods with Lagrangian, Raviart-Thomas, or Nédélec interpolations, and supports a wide range of problem types including linear, nonlinear, single-field, and multi-field PDEs (see (Badia, Martín, & Principe, 2018,Section 3) for a detailed presentation of the mathematical abstractions behind the implementation of these FE methods). Gridap is designed to help application experts to easily simulate real-world problems, to help researchers improve productivity when developing new FE-related techniques, and also for its usage in numerical PDE courses.
%0 Journal Article
%1 badia2020gridap
%A Badia, Santiago
%A Verdugo, Francesc
%D 2020
%I The Open Journal
%J Journal of Open Source Software
%K 65-04-numerical-analysis-software-source-code 65n30-pdes-bvps-finite-elements
%N 52
%P 2520
%R 10.21105/joss.02520
%T Gridap: An extensible Finite Element toolbox in Julia
%U https://joss.theoj.org/papers/10.21105/joss.02520
%V 5
%X Gridap is a new Finite Element (FE) framework, exclusively written in the Julia programming language, for the numerical simulation of a wide range of mathematical models governed by partial differential equations (PDEs). The library provides a feature-rich set of discretization techniques, including continuous and discontinuous FE methods with Lagrangian, Raviart-Thomas, or Nédélec interpolations, and supports a wide range of problem types including linear, nonlinear, single-field, and multi-field PDEs (see (Badia, Martín, & Principe, 2018,Section 3) for a detailed presentation of the mathematical abstractions behind the implementation of these FE methods). Gridap is designed to help application experts to easily simulate real-world problems, to help researchers improve productivity when developing new FE-related techniques, and also for its usage in numerical PDE courses.
@article{badia2020gridap,
abstract = {Gridap is a new Finite Element (FE) framework, exclusively written in the Julia programming language, for the numerical simulation of a wide range of mathematical models governed by partial differential equations (PDEs). The library provides a feature-rich set of discretization techniques, including continuous and discontinuous FE methods with Lagrangian, Raviart-Thomas, or Nédélec interpolations, and supports a wide range of problem types including linear, nonlinear, single-field, and multi-field PDEs (see (Badia, Martín, & Principe, 2018,Section 3) for a detailed presentation of the mathematical abstractions behind the implementation of these FE methods). Gridap is designed to help application experts to easily simulate real-world problems, to help researchers improve productivity when developing new FE-related techniques, and also for its usage in numerical PDE courses.},
added-at = {2021-05-21T01:28:06.000+0200},
author = {Badia, Santiago and Verdugo, Francesc},
biburl = {https://www.bibsonomy.org/bibtex/2116c99cd9dde8d15409a966d4fdacd96/gdmcbain},
doi = {10.21105/joss.02520},
interhash = {c56611ad550727c20a7ce164913c09dc},
intrahash = {116c99cd9dde8d15409a966d4fdacd96},
journal = {Journal of Open Source Software},
keywords = {65-04-numerical-analysis-software-source-code 65n30-pdes-bvps-finite-elements},
month = aug,
number = 52,
pages = 2520,
publisher = {The Open Journal},
timestamp = {2021-05-21T01:30:27.000+0200},
title = {Gridap: An extensible Finite Element toolbox in Julia},
url = {https://joss.theoj.org/papers/10.21105/joss.02520},
volume = 5,
year = 2020
}