Skip to Content
Advanced Numerical and Semi-Analytical Methods for Differential Equations
book

Advanced Numerical and Semi-Analytical Methods for Differential Equations

by Snehashish Chakraverty, Nisha Mahato, Perumandla Karunakar, Tharasi Dilleswar Rao
April 2019
Intermediate to advanced
256 pages
5h 48m
English
Wiley
Content preview from Advanced Numerical and Semi-Analytical Methods for Differential Equations

3Weighted Residual Methods

3.1 Introduction

Weighted residual is treated as another powerful method for computation of solution to differential equations subject to boundary conditions referred to as boundary value problems (BVPs). Weighted residual method (WRM) is an approximation technique in which solution of differential equation is approximated by linear combination of trial or shape functions having unknown coefficients. The approximate solution is then substituted in the governing differential equation resulting in error or residual. Finally, in the WRM the residual is forced to vanish at average points or made as small as possible depending on the weight function in order to find the unknown coefficients. WRMs, viz. collocation and Galerkin methods, have been discussed by Gerald and Wheatley [1]. Further discussion of various WRMs may be found in standard books viz. [24]. As regards, least‐square method for solving BVPs has been given by Locker [5]. Weighted residual‐based finite‐element methods are discussed in Refs. 1 3, 6 , 7 . In Chapter 6, finite‐element discretization approach using Galerkin WRM has been introduced. Moreover, sometimes trial or shape functions taken as boundary characteristic orthogonal polynomials are advantageous. So, Chapter 4 is dedicated in solving BVP using boundary characteristic orthogonal polynomials incorporated into Galerkin and Rayleigh–Ritz methods.

In this regard, this chapter is organized such that various WRMs, viz. collocation, ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.

Read now

Unlock full access

More than 5,000 organizations count on O’Reilly

AirBnbBlueOriginElectronic ArtsHomeDepotNasdaqRakutenTata Consultancy Services

QuotationMarkO’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.
Julian F.
Head of Cybersecurity
QuotationMarkI wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.
Addison B.
Field Engineer
QuotationMarkI’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.
Amir M.
Data Platform Tech Lead
QuotationMarkI'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.
Mark W.
Embedded Software Engineer

You might also like

Partial Differential Equations

Partial Differential Equations

Nita H. Shah, Mrudul Y. Jani

Publisher Resources

ISBN: 9781119423423Purchase book