A computational differential geometry approach to grid generation 2nd Edition by Vladimir D Liseikin ISBN 3540824022 9783540824022 by Liseikin V.d. 9783540342359, 3540342354 instant download after payment.

A computational differential geometry approach to grid generation 2nd Edition by Vladimir D Liseikin - Ebook PDF Instant Download/Delivery: 3540824022, 9783540824022
Full download A computational differential geometry approach to grid generation 2nd Edition after payment

Product details:

ISBN 10: 3540824022 
ISBN 13: 9783540824022
Author: Vladimir D Liseikin

The process of breaking up a physical domain into smaller sub-domains, known as meshing, facilitates the numerical solution of partial differential equations used to simulate physical systems. This monograph gives a detailed treatment of applications of geometric methods to advanced grid technology. It focuses on and describes a comprehensive approach based on the numerical solution of inverted Beltramian and diffusion equations with respect to monitor metrics for generating both structured and unstructured grids in domains and on surfaces. In this second edition the author takes a more detailed and practice-oriented approach towards explaining how to implement the method by: Employing geometric and numerical analyses of monitor metrics as the basis for developing efficient tools for controlling grid properties. Describing new grid generation codes based on finite differences for generating both structured and unstructured surface and domain grids. Providing examples of applications of the codes to the generation of adaptive, field-aligned, and balanced grids, to the solutions of CFD and magnetized plasmas problems. The book addresses both scientists and practitioners in applied mathematics and numerical solution of field problems.

A computational differential geometry approach to grid generation 2nd Table of contents:

1. Introductory Notions

2. General Coordinate Systems in Domains

3. Geometry of Curves

4. Multidimensional Geometry

5. Algorithms and Applications of Advanced Grid Technology: Front Matter

6. Comprehensive Grid Models

7. Inverted Equations

8. Numerical Implementation of Grid Generators

People also search for A computational differential geometry approach to grid generation 2nd:

stanford differential geometry
    
mathematics computation and geometry of data
    
m a geometry
    
differential geometry machine learning
    
numerical differential geometry
    
differential and computational geometry

Tags: Vladimir D Liseikin, computational, differential