Computing in Science & Engineering

Issue 1 • Jan.-Feb. 2015

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Displaying Results 1 - 23 of 23
  • [Front cover]

    Publication Year: 2015, Page(s): c1
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  • Intelect [Advertisement]

    Publication Year: 2015, Page(s): c2
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  • [Masthead]

    Publication Year: 2015, Page(s): 1
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  • Table of contents

    Publication Year: 2015, Page(s):2 - 3
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  • The Next Generation of Computational Science and Engineering

    Publication Year: 2015, Page(s):4 - 5
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  • A different perspective on scientific programming [review of "annotated algorithms in python; with applications in physics, biology, and finance" (di pierro, m.; 2013)]

    Publication Year: 2015, Page(s):6 - 7
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  • Scientific Software Communities

    Publication Year: 2015, Page(s):8 - 10
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  • IEEE Computer Society [Advertisement]

    Publication Year: 2015, Page(s): 11
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  • ResearchCompendia.org: Cyberinfrastructure for Reproducibility and Collaboration in Computational Science

    Publication Year: 2015, Page(s):12 - 19
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2220 KB) | HTML iconHTML

    We outline three goals to consider in building cyberinfrastructure to support scientific research and dissemination, and present our demonstration project ResearchCompendia. We posit that cyberinfrastructure should reinforce scientific norms, such as transparency and reproducibility, while embedding and encouraging best practices in scientific research, such as citation. Finally, we believe cyberi... View full abstract»

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  • Reproducible Research as a Community Effort: Lessons from the Madagascar Project

    Publication Year: 2015, Page(s):20 - 26
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1110 KB) | HTML iconHTML

    Reproducible research is the discipline of attaching software code and data to publications, which enables the reader to reproduce, verify, and extend published computational experiments. Instead of being the responsibility of an individual author, computational reproducibility should become the responsibility of open source scientific-software communities. A dedicated community effort can keep a ... View full abstract»

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  • The Company We Keep [Advertisement]

    Publication Year: 2015, Page(s): 27
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  • Crowdsourcing Scientific Software Documentation: A Case Study of the NumPy Documentation Project

    Publication Year: 2015, Page(s):28 - 36
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (598 KB) | HTML iconHTML

    Without good documentation, even the most sophisticated and efficient scientific software is difficult to use and maintain. However, due to lack of time, resources, and incentives, scientists who develop software for other scientists aren't keen on writing documentation. Scientific software packages that are freely available and shared within scientific communities often suffer from poor documenta... View full abstract»

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  • Take the CS Library wherever you go! [Advertisement]

    Publication Year: 2015, Page(s): 37
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  • Run-Time Extensibility and Librarization of Simulation Software

    Publication Year: 2015, Page(s):38 - 45
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1137 KB) | HTML iconHTML

    Build-time configuration and environment assumptions are hampering progress and usability in scientific software. This situation, which would be utterly unacceptable in nonscientific software, somehow passes for the norm in scientific packages. The scientific software community needs reusable, easy-to-use software packages that are flexible enough to accommodate next-generation simulation and anal... View full abstract»

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  • Simplified Pseudopotential Problems for the Classroom

    Publication Year: 2015, Page(s):46 - 53
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (743 KB) | HTML iconHTML

    Ab initio methods have been used for many decades to accurately predict properties of solids such as the physical, electronic, optical, magnetic, and elastic. A generation ago, many research groups developed their own in-house codes to perform ab initio calculations. In doing so, research students were intimately involved in many aspects of the coding, such as developing the theoretical framework,... View full abstract»

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  • Alternative Analysis Networking: A Multicharacterization Algorithm

    Publication Year: 2015, Page(s):54 - 63
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1466 KB) | HTML iconHTML

    A neural network technique known as Kohonen unsupervised training is coupled with a modified version of the particle swarm optimization technique in an effort to develop an algorithm capable of finding multiple optimal solutions for a given problem. The ability to find multiple optimal solutions is of interest in many different applications, such as complex engineering design problems, where it's ... View full abstract»

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  • Vertical Integration

    Publication Year: 2015, Page(s):64 - 66
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (435 KB) | HTML iconHTML

    Here, Matthew Turk considers the tradeoffs and drawbacks between providing a full stack, versus components, when vertically integrating developments into scientific software. View full abstract»

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  • Scientific Freedom & Human Rights [Advertisement]

    Publication Year: 2015, Page(s): 67
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  • 2014 Reviewer Thanks

    Publication Year: 2015, Page(s):68 - 70
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  • Focus on Your Job Search [Advertisement]

    Publication Year: 2015, Page(s): 71
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  • Modern Computing--in 1949

    Publication Year: 2015, Page(s): 72
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  • Call for papers

    Publication Year: 2015, Page(s): c3
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  • Rock Stars of 3D Printing [Advertisement]

    Publication Year: 2015, 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