Finite Element Method
The finite element method is a general discretization technique that can utilize unstructured grids to approximate the solutions of many partial differential equations (PDEs).
There is a large body of literature on finite elements, including the following excellent books:
- Numerical Solution of Partial Differential Equations by the Finite Element Method by Claes Johnson
- Theory and Practice of Finite Elements by Alexandre Ern and Jean-Luc Guermond
- Higher-Order Finite Element Methods by Pavel Šolín, Karel Segeth and Ivo Doležel
- High-Order Methods for Incompressible Fluid Flow by Michel Deville, Paul Fischer and Ernest Mund
- Finite Elements: Theory, Fast Solvers, and Applications in Elasticity Theory by Dietrich Braess
- The Finite Element Method for Elliptic Problems by Philippe Ciarlet
- The Mathematical Theory of Finite Element Methods by Susanne Brenner and Ridgway Scott
- An Analysis of the Finite Element Method by Gilbert Strang and George Fix
- The Finite Element Method: Its Basis and Fundamentals by Olek Zienkiewicz, Robert Taylor and J.Z. Zhu
The MFEM library is designed to be lightweight, general and highly scalable finite element toolkit that provides the building blocks for developing finite element algorithms in a manner similar to that of MATLAB for linear algebra methods.
Some of the C++ classes for the finite element realizations of these PDE-level concepts in MFEM are described below.
The finite element method uses vectors of data in a variety of ways and the
differences can be subtle. MFEM defines
Vector classes which help to distinguish the different roles that vectors of
data can play.
Bilinear form integrators are at the heart of any finite element method, they
are used to compute the integrals of products of basis functions over individual
mesh elements (or sometimes over edges or faces). The
BilinearForm class adds
BilinearFormIntegrators together to build the global sparse finite
Linear form integrators are used to compute the integrals of products of a basis
function with a given source function over individual mesh elements (or
sometimes over edges or faces). The
LinearForm class adds several
LinearFormIntegrators together to build the global right-hand side for the
finite element linear system.
This page offers guidance on writing custom Bilinear Form or Linear Form Integrators.
Coefficient objects in MFEM are general functions on continuous level that
are used to represent the PDE coefficients of linear and bilinear forms, as well
as to specify initial conditions, boundary conditions, exact solutions, etc.
Nonlinear form integrators are used to express the local action of a general nonlinear finite element operator. In addition, they may provide the capability to assemble the local gradient operator and to compute the local energy.
Unlike Bilinear and Linear forms, Linear Interpolators do not perform
integrations, but project one basis function (or a
linear function of a basis function) onto another basis function. The
DiscreteLinearOperator class adds one or more
together to build a global sparse matrix representation of the linear
Weak formulations are at the heart of the finite element method. Finite element approximations are almost always less smooth than the solutions we hope to approximate. Weak formulations provide a means of approximating derivatives of non-differentiable functions.
The types of available boundary conditions and how to apply them depend on the discretizations being used. This page describes how to enforce various boundary conditions for certain classes of problems.