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Computing in Science & Engineering

Issue 2 • March-April 2006

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Displaying Results 1 - 16 of 16
  • [Front cover]

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

    Publication Year: 2006, Page(s): c2
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  • And Now...

    Publication Year: 2006, Page(s): 2
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  • Recent research provides new picture of router-level Internet

    Publication Year: 2006, Page(s):3 - 6
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  • Guest Editors' Introduction: Monte Carlo Methods

    Publication Year: 2006, Page(s):7 - 8
    Cited by:  Papers (5)
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  • The Monte Carlo method in science and engineering

    Publication Year: 2006, Page(s):9 - 19
    Cited by:  Papers (49)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (299 KB) | HTML iconHTML

    Since 1953, researchers have applied the Monte Carlo method to a wide range of areas. Specialized algorithms have also been developed to extend the method's applicability and efficiency. The author describes some of the algorithms that have been developed to perform Monte Carlo simulations in science and engineering View full abstract»

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  • Fluid simulation with the geometric cluster Monte Carlo algorithm

    Publication Year: 2006, Page(s):20 - 29
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (574 KB) | HTML iconHTML

    Building on earlier approaches, the geometric cluster algorithm permits the efficient simulation of cases in which conventional simulation methods fail, such as mixtures of different-sized particles. Starting from the celebrated Metropolis Monte Carlo algorithm, the author describes the development of cluster methods for magnetic systems and their connection with the geometric cluster algorithm View full abstract»

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  • Rapidly mixing Markov chains with applications in computer science and physics

    Publication Year: 2006, Page(s):30 - 41
    Cited by:  Papers (13)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (883 KB) | HTML iconHTML

    Monte Carlo algorithms often depend on Markov chains to sample from very large data sets. A key ingredient in the design of an efficient Markov chain is determining rigorous bounds on how quickly the chain "mixes," or converges, to its stationary distribution. This survey provides an overview of several useful techniques View full abstract»

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  • The other Monte Carlo method

    Publication Year: 2006, Page(s):42 - 47
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (232 KB) | HTML iconHTML

    Although the Metropolis algorithm dates back to at least 1953, the fact that it could be used for approximate counting has become clear only in recent years. An algorithm specifically designed for counting was created around the same time as the Metropolis algorithm by some of the same researchers. This other Monte Carlo method, now known as sequential importance sampling (SIS), has proved to be v... View full abstract»

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  • A telescope for high-dimensional data

    Publication Year: 2006, Page(s):48 - 53
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    Muscular dystrophy is a degenerative disease that destroys muscles and ultimately kills its victims. Researchers worldwide are racing to find a cure by trying to uncover the genetic processes that cause it. Given that a key process is muscle development, researchers at a consortium of 10 institutions are studying 1,000 men and women, ages 18 to 40 years, to see how their muscles enlarge with exerc... View full abstract»

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  • New computational approaches to the analysis of interbeat intervals in human subjects

    Publication Year: 2006, Page(s):54 - 65
    Cited by:  Papers (13)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (610 KB) | HTML iconHTML

    Complex, self-regulating systems such as the human heart must process inputs with a broad range of characteristics to generate physiological data and time series. Many of these physiological time series seem to be highly chaotic, represent nonstationary data, and fluctuate in an irregular and complex manner. One hypothesis is that the seemingly chaotic structure of physiological time series arises... View full abstract»

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  • Updating and downdating matrix factorizations: a change in plans

    Publication Year: 2006, Page(s):66 - 71
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (721 KB) | HTML iconHTML

    We seldom get it right the first time. Whether we're composing an email, seasoning a stew, painting a picture, or planning an experiment, we almost always make improvements on our original thought. The same is true of engineering design; we draft a plan, but changes are almost always made. Perhaps the customer changes the performance specifications, or perhaps a substitution of building materials ... View full abstract»

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  • The fast Fourier transform for experimentalists. Part VI. Chirp of a bat

    Publication Year: 2006, Page(s):72 - 78
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (453 KB) | HTML iconHTML

    Two assumptions underlie the Fourier transform process: stationarity and linearity. When signals deviate from these conditions, the transform outcomes are suspect. A chirp, which by definition has a frequency that varies with time, doesn't satisfy these requirements, and its fast Fourier transform (FFT) doesn't adequately express the changing nature of the signal's frequency content. In this analy... View full abstract»

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  • A hike through post-EJB J2EE Web application architecture. Part II

    Publication Year: 2006, Page(s):79 - 87
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (878 KB) | HTML iconHTML

    This is the second article in an occasional series on Web application development. The first installment, published in the September/October 2005 issue ("A Hike through Post-EJB J2EE Web Application Architecture," vol. 7, no. 5, pp. 80-88), focused on the upper tiers that comprise the user interface; here, the author focuses on the lower tiers. He started with a blueprint of a typical post-Enterpr... View full abstract»

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  • Engineering in Computing and Science

    Publication Year: 2006, Page(s): 88
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  • [Back inside cover]

    Publication Year: 2006, Page(s): c3
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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.

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Meet Our Editors

Editor-in-Chief
George K. Thiruvathukal
Loyola University