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    Mathematical Geosciences: Hybrid Symbolic-Numeric Methods

    Access Status
    Fulltext not available
    Authors
    Awange, Joseph
    Paláncz, B.
    Lewis, R.
    Völgyesi, L.
    Date
    2018
    Type
    Book
    
    Metadata
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    Citation
    Awange, J. and Paláncz, B. and Lewis, R. and Völgyesi, L. 2018. Mathematical Geosciences: Hybrid Symbolic-Numeric Methods.
    DOI
    10.1007/978-3-319-67371-4
    ISBN
    9783319673714
    School
    School of Earth and Planetary Sciences (EPS)
    URI
    http://hdl.handle.net/20.500.11937/67561
    Collection
    • Curtin Research Publications
    Abstract

    © Springer International Publishing AG 2018. All rights are reserved. This book showcases powerful new hybrid methods that combine numerical and symbolic algorithms. Hybrid algorithm research is currently one of the most promising directions in the context of geosciences mathematics and computer mathematics in general. One important topic addressed here with a broad range of applications is the solution of multivariate polynomial systems by means of resultants and Groebner bases. But that's barely the beginning, as the authors proceed to discuss genetic algorithms, integer programming, symbolic regression, p arallel computing, and many other topics. The book is strictly goal-oriented, focusing on the solution of fundamental problems in the geosciences, such as positioning and point cloud problems. As such, at no point does it discuss purely theoretical mathematics. "The book delivers hybrid symbolic-numeric solutions, which are a large and growing area at the boundary of mathematics and computer science." Dr. Daniel Li.

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