2021Cambridge University Press eBooksRequires access

Numerical Methods for Differential Equations

Kevin W. Cassel

Open publisher page 1 citations

Abstract

A central goal of scientists and engineers is obtaining solutions of the differential equations that govern their physical systems.This can be done numerically for large and/or complex systems using finite-difference methods, finite-element methods, or spectral methods.This chapter gives an introduction and the formal basis for these methods, with particular emphasis on finite-difference methods.Second-order partial differential equations are classified as elliptic, parabolic, or hyperbolic, and the numerical methods developed for such equations must be faithful to their mathematical properties.

About this research paper

What this paper is about

A central goal of scientists and engineers is obtaining solutions of the differential equations that govern their physical systems.This can be done numerically for large and/or complex systems using finite-difference methods, finite-element methods, or spectral methods.This chapter gives an introduction and the formal basis for these methods, with particular emphasis on finite-difference methods.Second-order partial differential equations are classified as elliptic, parabolic, or hyperbolic, and the numerical methods developed for such equations must be faithful to their mathematical properties.

Why it matters

OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

A central goal of scientists and engineers is obtaining solutions of the differential equations that govern their physical systems.This can be done numerically for large and/or complex systems using finite-difference methods, finite-element methods, or spectral methods.This chapter gives an introduction and the formal basis for these methods, with particular emphasis on finite-difference methods.Second-order partial differential equations are classified as elliptic, parabolic, or hyperbolic, and the numerical methods developed for such equations must be faithful to their mathematical properties.

Key concepts: Numerical partial differential equations, Elliptic partial differential equation, Mathematics, Finite volume method for one-dimensional steady state diffusion, Spectral method, Finite element method, Hyperbolic partial differential equation, Differential equation

Related papers

Back to paper searchBrowse research topicsOriginal source
Numerical Methods for Differential Equations — Research Paper | ScholarLens