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Solving Elliptic Problems Using ELLPACK

  • Book
  • © 1985

Overview

Part of the book series: Springer Series in Computational Mathematics (SSCM, volume 2)

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Table of contents (18 chapters)

  1. The Ellpack System

  2. The Ellpack Modules

  3. Performance Evaluation

  4. Contributor’s Guide

Keywords

About this book

ELLP ACK is a many faceted system for solving elliptic partial differential equations. It is a forerunner of the very high level, problem solving environments or expert systems that will become common in the next decade. While it is still far removed from the goals of the future, it is also far advanced compared to the Fortran library approach in common current use. Many people will find ELLP ACK an easy way to solve simple or moderately complex elliptic problems. Others will be able to solve really hard problems by digging a little deeper into ELLP ACK. ELLP ACK is a research tool for the study of numerical methods for solving elliptic problems. Its original purpose was for the evaluation and comparison of numerical software for elliptic problems. Simple examples of this use are given in Chapters 9-11. The general conclusion is that there are many ways to solve most elliptic problems, there are large differences in their efficiency and the most common ways are often less efficient, sometimes dramatically so.

Authors and Affiliations

  • Department of Computer Science, Purdue University, West Lafayette, USA

    John R. Rice

  • Scientific Computing Division, National Bureau of Standards, Gaithersburg, USA

    Ronald F. Boisvert

Bibliographic Information

  • Book Title: Solving Elliptic Problems Using ELLPACK

  • Authors: John R. Rice, Ronald F. Boisvert

  • Series Title: Springer Series in Computational Mathematics

  • DOI: https://doi.org/10.1007/978-1-4612-5018-0

  • Publisher: Springer New York, NY

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag New York Inc. 1985

  • Softcover ISBN: 978-1-4612-9528-0Published: 22 September 2011

  • eBook ISBN: 978-1-4612-5018-0Published: 06 December 2012

  • Series ISSN: 0179-3632

  • Series E-ISSN: 2198-3712

  • Edition Number: 1

  • Number of Pages: 497

  • Topics: Numerical Analysis

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