Computing in Science & Engineering

Volume 8 Issue 5 • Sept.-Oct. 2006

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  • [Front cover]

    Publication Year: 2006, Page(s): c1
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  • Table of contents

    Publication Year: 2006, Page(s):1 - 2
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  • Has Computing Changed Physics Courses?

    Publication Year: 2006, Page(s):4 - 5
    Cited by:  Papers (2)
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  • Digital Libraries Come of Age

    Publication Year: 2006, Page(s):6 - 10
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  • Guest Editor's Introduction: Computation in Physics Courses

    Publication Year: 2006, Page(s):11 - 15
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1044 KB) | HTML iconHTML Multimedia Media

    You know one if you see one, but can you define a computational physics course in general? Even more fundamentally, can you specify what role numerical computations should have in any standard physics course? The quest to address such questions was the motivation for a project that has culminated in the publication of this special issue. I believe and hope that our nonphysicists readers will regar... View full abstract»

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  • Numerical Computations in US Undergraduate Physics Courses

    Publication Year: 2006, Page(s):16 - 21
    Cited by:  Papers (10)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (290 KB) | HTML iconHTML Multimedia Media

    A recent study conducted via email and Web surveys gathered responses from physics faculty members across the US about their use of numerical computations in the classroom. Responses showed a strong commitment to computational activities from some physics faculty and a frustration over the lack of such activities from others View full abstract»

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  • Computational Physics: A Better Model for Physics Education?

    Publication Year: 2006, Page(s):22 - 30
    Cited by:  Papers (19)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1574 KB) | HTML iconHTML

    Computational physics provides a broader, more balanced, and more flexible education than a traditional physics major. Moreover, presenting physics within a scientific problem-solving paradigm is a more effective and efficient way to teach physics than the traditional approach View full abstract»

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  • IEEE Computer Society Membership Information

    Publication Year: 2006, Page(s): 31
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  • Implementing Curricular Change

    Publication Year: 2006, Page(s):32 - 37
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (209 KB) | HTML iconHTML

    Analytical skills provide the theoretical framework for much of physics. In the real world, however, solutions to problems typically require creative combinations of analytic, experimental, and computational techniques. Recognizing this need, the physics department at the University of St. Thomas developed an integrated physics curriculum emphasizing analytical, computational, experimental, and co... View full abstract»

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  • Using Computational Methods to Reinvigorate an Undergraduate Physics Curriculum

    Publication Year: 2006, Page(s):38 - 43
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (236 KB) | HTML iconHTML

    Austin Peay State University's Department of Physics and Astronomy has reinvigorated its physics program by adding a required computational methods class and small computational components to classes across its curriculum. A front-to-back problem management approach has required a change in the way the department assesses students' performance View full abstract»

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  • An Incremental Approach to Computational Physics Education

    Publication Year: 2006, Page(s):44 - 50
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (363 KB) | HTML iconHTML

    In Bradley University's physics department, the author has developed an incremental approach to computational physics instruction. It interweaves modern computational techniques with traditional aspects of upper-level classical mechanics and thermodynamics courses, building from simple to more complex concepts and assignments. By directly programming and controlling all aspects of their computer a... View full abstract»

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  • An Open-Source XML Framework for Authoring Curricular Material

    Publication Year: 2006, Page(s):51 - 58
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1919 KB) | HTML iconHTML

    The Open Source Physics (OSP) project is a synergy of curriculum development, computational physics, computer science, and physics education for scientists and students wishing to author interactive computer-based curricular material. This article illustrates how the OSP project combines physical data and XML tags (data and metadata, respectively) with the Launcher authoring tool to give users an ... View full abstract»

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  • The Clustered Causal State Algorithm: Efficient Pattern Discovery for Lossy Data-Compression Applications

    Publication Year: 2006, Page(s):59 - 67
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (364 KB) | HTML iconHTML

    Pattern discovery is a potential boon for data compression, but current approaches are inefficient and produce cumbersome pattern descriptions. The clustered causal state algorithm is a new pattern-discovery algorithm that incorporates recent clustering technology View full abstract»

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  • He's Baaack!

    Publication Year: 2006, Page(s):68 - 69
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (169 KB) | HTML iconHTML

    This article discusses software risk management and the Google Calendar View full abstract»

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  • Making a Supercomputer Do What You Want: High-Level Tools for Parallel Programming

    Publication Year: 2006, Page(s):70 - 80
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (447 KB) | HTML iconHTML

    In this article, I describe the trade-offs in using high-level tools for parallel computing, focusing particularly on those that integrate with existing scientific computing software on the desktop View full abstract»

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  • Water Wave Animation on Mesh Surfaces

    Publication Year: 2006, Page(s):81 - 87
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3288 KB) | HTML iconHTML

    In this article, we present work that focuses on developing an efficient and stable algorithm for animating ripples on the surfaces of 3D models represented by triangular meshes View full abstract»

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  • Truels, or Survival of the Weakest

    Publication Year: 2006, Page(s):88 - 95
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3973 KB) | HTML iconHTML

    A duel is simply a game with two players, each having a probability of winning that game and each having an intrinsic marksmanship, or ability, associated with his or her performance. The mathematical treatment of this game confirms our simple expectations. If more than two players participate, a series of duels might be needed to determine the absolute winner. This is the case in sports tournamen... View full abstract»

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  • Multigrid Methods: Managing Massive Meshes

    Publication Year: 2006, Page(s):96 - 103
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (426 KB) | HTML iconHTML

    In our last homework assignment, we investigated iterative methods for solving large, sparse, linear systems of equations. we saw that the Gauss-Seidel (GS) method was intolerably slow, but various forms of preconditioned conjugate gradient (CG) algorithms gave us reasonable results. The test problems we used were discretizations of elliptic partial differential equations, but for these problems, ... View full abstract»

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  • My Computational Education

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

    Publication Year: 2006, Page(s): c3
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Aims & Scope

The computational and data-centric problems faced by scientists and engineers transcend disciplines. There is a need to share knowledge of algorithms, software, and architectures, and to transmit lessons-learned to a broad scientific audience. Computing in Science & Engineering (CiSE) is a cross-disciplinary, international publication that meets this need by presenting contributions of high interest and educational value from a variety of fields, including—but not limited to—physics, biology, chemistry, and astronomy. CiSE emphasizes innovative applications in advanced computing, simulation, and analytics, among other cutting-edge techniques. CiSE publishes peer-reviewed research articles, and also runs departments spanning news and analyses, topical reviews, tutorials, case studies, and more.

Full Aims & Scope

Meet Our Editors

Editor-in-Chief
Jim X. Chen
George Mason University
jchen@cs.gmu.edu