Mathematical Software

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The Experts below are selected from a list of 234 Experts worldwide ranked by ideXlab platform

Wolfram Sperber - One of the best experts on this subject based on the ideXlab platform.

Matthew England - One of the best experts on this subject based on the ideXlab platform.

  • machine learning for Mathematical Software
    International Congress on Mathematical Software, 2018
    Co-Authors: Matthew England
    Abstract:

    While there has been some discussion on how Symbolic Computation could be used for AI there is little literature on applications in the other direction. However, recent results for quantifier elimination suggest that, given enough example problems, there is scope for machine learning tools like Support Vector Machines to improve the performance of Computer Algebra Systems. We survey the author’s own work and similar applications for other Mathematical Software.

  • ICMS - Machine Learning for Mathematical Software
    Mathematical Software – ICMS 2018, 2018
    Co-Authors: Matthew England
    Abstract:

    While there has been some discussion on how Symbolic Computation could be used for AI there is little literature on applications in the other direction. However, recent results for quantifier elimination suggest that, given enough example problems, there is scope for machine learning tools like Support Vector Machines to improve the performance of Computer Algebra Systems. We survey the author’s own work and similar applications for other Mathematical Software.

Gertmartin Greuel - One of the best experts on this subject based on the ideXlab platform.

Thomas Haigh - One of the best experts on this subject based on the ideXlab platform.

  • John R. Rice: Mathematical Software Pioneer
    IEEE Annals of the History of Computing, 2010
    Co-Authors: Thomas Haigh
    Abstract:

    John Rischard Rice is one of the founders of Mathematical Software as a distinct scholarly community. Trained in mathematics he spent four decades in Purdue's Department of Computer Sciences. During the 1970s he convened a series of seminal conferences on the topic and established ACM Transactions on Mathematical Software which he edited for many years. Rice led development of the ELLPACK system for solving partial differential equations and helped to establish techniques for the performance evaluation of Mathematical Software. He has published 21 books.

  • Cleve Moler: Mathematical Software Pioneer and Creator of Matlab
    IEEE Annals of the History of Computing, 2008
    Co-Authors: Thomas Haigh
    Abstract:

    A prominent figure in the numerical analysis community in his early academic career, Cleve Moler gradually shifted his research efforts to Mathematical Software, specifically to the development of Matlab, an educational Software package. Matlab has evolved to become a commercial success in scientific and engineering applications. Moler—now Mathworks' chief scientist and chairman—is still involved in Software development and applied computing research and education.

Ronald F. Boisvert - One of the best experts on this subject based on the ideXlab platform.

  • Mathematical Software: Past, Present, and Future
    arXiv: Mathematical Software, 2000
    Co-Authors: Ronald F. Boisvert
    Abstract:

    This paper provides some reflections on the field of Mathematical Software on the occasion of John Rice's 65th birthday. I describe some of the common themes of research in this field and recall some significant events in its evolution. Finally, I raise a number of issues that are of concern to future developments.

  • the architecture of an intelligent virtual Mathematical Software repository system
    Mathematics and Computers in Simulation, 1994
    Co-Authors: Ronald F. Boisvert
    Abstract:

    Much reusable Software is available for solving routine Mathematical and statistical problems. Unfortunately, locating this Software is often quite difficult in current distributed computing environments. The Guide to Available Mathematical Software (GAMS) virtual Software repository seeks to remedy this by providing users with convenient access to thousands of Software modules physically distributed among several Internet repositories, including netlib. In this paper the author will illustrate the use of GAMS, describe its implementation, and outline plans for the incorporation of expert advisory capabilities.

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