Object Oriented Methods And Finite Element Analysis
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Object Oriented Methods and Finite Element Analysis
This book describes the advantages of object oriented programming for finite element software development. The book explains the overall design philosophy as well as providing the reader with detailed programming information. The OO approach to finite element programming requires a radically different approach from that used for traditional finite element programming. The book highlights the differences and demonstrates the advantages of the OO approach. Sufficient detailed programming information is included to help reades to implement their own OO code or adapt the ideas presented in the book. The book is intended for researchers and postgraduate students working in the field of finite element technology. The source code described in this book is available from the author's website.
Object Oriented Methods for Interoperable Scientific and Engineering Computing
Contains papers presented at the October 1998 SIAM Workshop on Object Oriented Methods for Interoperable Scientific and Engineering Computing that covered a variety of topics and issues related to designing and implementing computational tools for science and engineering.
Programming Finite Elements in JavaTM
Author: Gennadiy P. Nikishkov
language: en
Publisher: Springer Science & Business Media
Release Date: 2010-01-12
Programming Finite Elements in JavaTM teaches the reader how to programme the algorithms of the finite element method (FEM) in JavaTM. The compact, simple code helps the student to read the algorithms, to understand them and thus to be able to refine them. All of the main aspects of finite element techniques are considered: finite element solution; generation of finite element meshes; and visualization of finite element models and results with Java 3DTM. The step-by-step presentation includes algorithm programming and code explanation at each point. Problems and exercises are provided for each chapter, with JavaTM source code and problem data sets available from http://extras.springer.com/2010/978-1-84882-971-8.