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Computing in Science & Engineering

Issue 6 • Date Nov.-Dec. 2006

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Displaying Results 1 - 25 of 25
  • [Front cover]

    Publication Year: 2006, Page(s): c1
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  • IEEE Computer Society Membership [advertisement]

    Publication Year: 2006, Page(s): c2
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  • Table of contents

    Publication Year: 2006, Page(s):1 - 2
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  • Novelty, Utility, ... and More

    Publication Year: 2006, Page(s): 3
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  • Neural Networks Show New Promise for Machine Vision

    Publication Year: 2006, Page(s):4 - 8
    Cited by:  Papers (1)
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  • Security and Privacy subscription information [advertisement]

    Publication Year: 2006, Page(s): 9
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  • Guest Editors' Introduction: Multigrid Computing

    Publication Year: 2006, Page(s):10 - 11
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (999 KB) | HTML iconHTML

    Multigrid methods are among the most important algorithms for computational scientists because they're the most efficient solvers for a wide range of problems. The modern era of multi-grid methods began more than 30 years ago with the publication of Achi Brandt's seminal papers. Although it was originally successful for solving elliptic partial differential equations (PDEs) and the linear systems ... View full abstract»

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  • Why Multigrid Methods Are So Efficient

    Publication Year: 2006, Page(s):12 - 22
    Cited by:  Papers (23)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (417 KB) | HTML iconHTML

    Originally introduced as a way to numerically solve elliptic boundary-value problems, multigrid methods, and their various multiscale descendants, have since been developed and applied to various problems in many disciplines. This introductory article provides the basic concepts and methods of analysis and outlines some of the difficulties of developing efficient multigrid algorithms View full abstract»

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  • IEEE Computer Society Celebrates Two 60-Year Anniversaries

    Publication Year: 2006, Page(s): 23
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  • An Introduction to Algebraic Multigrid Computing

    Publication Year: 2006, Page(s):24 - 33
    Cited by:  Papers (54)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (562 KB) | HTML iconHTML

    Algebraic multigrid (AMG) solves linear systems based on multigrid principles, but in a way that depends only on the coefficients in the underlying matrix View full abstract»

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  • Multigrid Methods for the Stokes System

    Publication Year: 2006, Page(s):34 - 43
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (411 KB) | HTML iconHTML

    The choice of multigrid method depends strongly on the type of discretization used and the problem formulation employed. This article gives an overview of multigrid methods for the Stokes equations, focusing on the saddle-point problem and on stable discretizations for staggered and vertex-centered grids View full abstract»

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  • Multigrid Methods on Adaptively Refined Grids

    Publication Year: 2006, Page(s):44 - 54
    Cited by:  Papers (8)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2483 KB) | HTML iconHTML

    Using multigrid solvers in the adaptive finite element method yields a powerful tool for solving large-scale partial differential equations that exhibit localized features such as singularities or shocks. In addition to describing the basic method and related theory, this article numerically demonstrates the method's performance and utility on 2D and 3D problems View full abstract»

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  • IEEE Distributed Systems Online - Information

    Publication Year: 2006, Page(s): 55
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  • A Massively Parallel Multigrid Method for Finite Elements

    Publication Year: 2006, Page(s):56 - 62
    Cited by:  Papers (33)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (325 KB) | HTML iconHTML

    The hierarchical hybrid grid framework supports the parallel implementation of multigrid solvers for finite element problems. Specifically, it generates extremely fine meshes by using a structured refinement of an unstructured base mesh. For special problems with piecewise uniform material parameters, this leads to the possibility of stencil-based operations, which save substantial memory and perm... View full abstract»

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  • advertisement

    Publication Year: 2006, Page(s): 63
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  • Software Carpentry

    Publication Year: 2006, Page(s):64 - 65
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (166 KB)

    I do have someone I want to sue - the people who make laptop batteries. Everything about laptop batteries is a lie. They don't last as long as claimed unless you're doing nothing but running a blank screensaver on a machine that isn't on the Internet. Two days after you get the laptop, of course, it doesn't even do that. Because they run down so quickly when you do anything real, you tend to keep ... View full abstract»

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  • Software Carpentry: Getting Scientists to Write Better Code by Making Them More Productive

    Publication Year: 2006, Page(s):66 - 69
    Cited by:  Papers (15)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (127 KB) | HTML iconHTML

    For the past years, my colleagues and I have developed a one-semester course that teaches scientists and engineers the "common core" of modern software development. Our experience shows that an investment of 150 hours-25 of lectures and the rest of practical work-can improve productivity by roughly 20 percent. That's one day a week, one less semester in a master's degree, or one less year for a ty... View full abstract»

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  • Sensitivity Analysis: When a Little Means a Lot

    Publication Year: 2006, Page(s):70 - 75
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (215 KB) | HTML iconHTML

    In contrast to classroom exercises, the real world rarely presents us with a problem in which the data is known with absolute certainty. some parameters (such as n) we can define with certainty, and others (such as h) we know to high precision, but most data is measured and therefore contains measurement error. So what we really solve isn't the problem we want, but some nearby problem, and in addi... View full abstract»

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  • Unit Testing Considered Useful

    Publication Year: 2006, Page(s):76 - 87
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (691 KB) | HTML iconHTML

    Testing is an important part of application development hardware engineers, in particular, have a long established history of testing for the obvious reason that it's awfully hard to rebuild a microprocessor every time a bug pops up in the design stage-not to mention the enormous headaches such bugs generate on the software side. In this installment of Scientific Programming, we'll discuss the rol... View full abstract»

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  • Counting (on) an Aging Population

    Publication Year: 2006, Page(s):88 - 96
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (432 KB) | HTML iconHTML

    The population in developed countries is rapidly aging, which explains why demography-the scientific study of human population dynamics-has become such a hot topic for science and the mass media. Technical progress with respect to computing power has helped alleviate population research-in fact, most contemporary research wouldn't have been possible without the development of powerful computer har... View full abstract»

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    Publication Year: 2006, Page(s): 97
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  • 2006 Annual Index

    Publication Year: 2006, Page(s):98 - 103
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  • Is Numerical Analysis Boring?

    Publication Year: 2006, Page(s): 104
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  • [Back inside cover]

    Publication Year: 2006, Page(s): c3
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  • Back Cover

    Publication Year: 2006, Page(s): c4
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Aims & Scope

CS&E magazine emphasizes articles that help define the field as the interface among the applications (in science and engineering), algorithms (numerical and symbolic), system software, and computer architecture.

Full Aims & Scope

Meet Our Editors

Editor-in-Chief
George K. Thiruvathukal
Loyola University