๐”– Scriptorium
โœฆ   LIBER   โœฆ

๐Ÿ“

Numerical Differential Equations: Theory and Technique, ODE Methods, Finite Differences, Finite Elements and Collocation

โœ Scribed by John Loustau


Publisher
World Scientific
Year
2016
Tongue
English
Leaves
376
Series
Numerical & Computational Mathematics, Applied Mathematics
Edition
1st. Ed.
Category
Library

โฌ‡  Acquire This Volume

No coin nor oath required. For personal study only.

โœฆ Synopsis


This text presents numerical differential equations to graduate (doctoral) students. It includes the three standard approaches to numerical PDE, FDM, FEM and CM, and the two most common time stepping techniques, FDM and Runge-Kutta. We present both the numerical technique and the supporting theory.

The applied techniques include those that arise in the present literature. The supporting mathematical theory includes the general convergence theory. This material should be readily accessible to students with basic knowledge of mathematical analysis, Lebesgue measure and the basics of Hilbert spaces and Banach spaces. Nevertheless, we have made the book free standing in most respects. Most importantly, the terminology is introduced, explained and developed as needed.

The examples presented are taken from multiple vital application areas including finance, aerospace, mathematical biology and fluid mechanics. The text may be used as the basis for several distinct lecture courses or as a reference. For instance, this text will support a general applications course or an FEM course with theory and applications. The presentation of material is empirically-based as more and more is demanded of the reader as we progress through the material. By the end of the text, the level of detail is reminiscent of journal articles. Indeed, it is our intention that this material be used to launch a research career in numerical PDE.

โœฆ Table of Contents


Contents:

*Modeling and Visualization:    
    -Some Preliminaries
    -Problems with Closed Form Solution
    -Numerical Solutions to Steady-State Problems
    -Population Models
    Transient Problems in One Spatial Dimension
    Transient Problems in Two Spatial Dimensions

*Methods and Theory:    
    -Finite Difference Method
    -Finite Element Method, the Techniques
    -Finite Element Method, the Theory
    -Collocation Method

๐Ÿ“œ SIMILAR VOLUMES


Numerical Solution of Differential Equat
โœ Zhilin Li, Zhonghua Qiao, Tao Tang ๐Ÿ“‚ Library ๐Ÿ“… 2018 ๐Ÿ› Cambridge University Press ๐ŸŒ English

This introduction to finite difference and finite element methods is aimed at graduate students who need to solve differential equations. The prerequisites are few (basic calculus, linear algebra, and ODEs) and so the book will be accessible and useful to readers from a range of disciplines across s

Numerical Methods for Partial Differenti
โœ Sandip Mazumder Ph.D ๐Ÿ“‚ Library ๐Ÿ“… 2016 ๐Ÿ› Elsevier AP;Academic Press ๐ŸŒ English

<p><i>Numerical Methods for Partial Differential Equations: Finite Difference and Finite Volume Methods</i> focuses on two popular deterministic methods for solving partial differential equations (PDEs), namely finite difference and finite volume methods. The solution of PDEs can be very challenging

Numerical Methods for Partial Differenti
โœ Sandip Mazumder ๐Ÿ“‚ Library ๐Ÿ“… 2016 ๐Ÿ› Academic Press ๐ŸŒ English

<p><i>Numerical Methods for Partial Differential Equations: Finite Difference and Finite Volume Methods</i> focuses on two popular deterministic methods for solving partial differential equations (PDEs), namely finite difference and finite volume methods. The solution of PDEs can be very challenging