Numerical Differential Equations: Theory and Technique, ODE Methods, Finite Differences, Finite Elements and Collocation
โ Scribed by John Loustau
- Publisher
- World Scientific
- Year
- 2016
- Tongue
- English
- Leaves
- 376
- Series
- Numerical & Computational Mathematics, Applied Mathematics
- Edition
- 1st. Ed.
- Category
- Library
No coin nor oath required. For personal study only.
โฆ 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.
โฆ 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
๐ SIMILAR VOLUMES
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
<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
<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