Cover image for Introduction to scientific computing
Title:
Introduction to scientific computing
Personal Author:
Publication Information:
Chichester : John Wiley & Sons, 1998
ISBN:
9780471972662

Available:*

Library
Item Barcode
Call Number
Material Type
Item Category 1
Status
Searching...
30000004330233 QC20.7.D5 L83 1998 Open Access Book Book
Searching...
Searching...
30000004330274 QC20.7.D5 L83 1998 Open Access Book Book
Searching...

On Order

Summary

Summary

This book presents the basic scientific computing methods for the solution of partial differential equations (PDEs) as they occur in engineering problems. Programming codes in Fortran and C are included for each problem. Opening with the definition of the programming environment for the solving of PDE systems, it then addresses in detail the programming of the model problem by the finite element method. Efficiency, compact storage pre-conditioning and mesh adaption are also presented. General elliptic problems and evolution problems are then dealt with. Finally, topics related to other numerical methods, algorithms for parallel computing and multi processor computers are detailed. An integrated software package which illustrates the featured programs of PDEs is available on the Internet via anonymous FTP. The methods presented have applications in numerous fields of engineering including shape optimisation, nuclear safety, heat transfer, acoustics, mechanics of fluids and elasticity, and are also relevant to other areas such as pollution, meteorology, biology, etc.


Author Notes

Brigitte Lucquin is the author of Introduction to Scientific Computing, published by Wiley. Olivier Pironneau is a French mathematician who is a Professor at the Université Pierre et Marie Curie and member of the French Academy of Sciences.
Pironneau is a worldwide recognized expert in computational fluid dynamics, scientific computing, optimal design, numerical analysis and partial differential equations.


Table of Contents

Some Partial Differential Equations
Programming The Model Problem by A Finite Element Method
Introduction to the Finite Element Method: Energy Minimisation
Finite Element Method: Variational Formulation and Direct Methods
Finite Element Method: Optimisation of the Method
General Elliptic Problems and Evolution Problems
Finite Element Method for General Elliptic Problems
Non-symmetric or Non-linear Partial Differential Equations
Evolution Problems: Finite Differences in Time
Complements on Numerical Methods
Integral Methods for the Laplacian
Some Algorithms for Parallel Computing
Bibliography
Index