Massive Geometric Algebra: Visions for C++ Implementations of Geometric Algebra to Scale into the Big Data Era

Massive Geometric Algebra: Visions for C++ Implementations of Geometric Algebra to Scale into the... Geometric algebra (GA) is a promising approach to address interoperability bottlenecks that are particularly prominent in the big data era. Similar to how GA unites and simplifies otherwise distinct mathematical branches it may also help to unite software via common interfaces between otherwise distinct applications. The promising potential of GA would be best exhibited by the ability of seamless integration into existing, complex applications. To achieve this vision various constraints have to be considered. Particularly having C++ in focus, we discuss the “wish list” that an optimal C++ implementation should provide. We find that to cover the various constraints an hybrid approach benefiting from multiple programming paradigms, ranging from generic to object-oriented programming, will be needed. C++ is a very suitable platform providing all these capabilities and promising approaches like Generative Programming and Active Libraries provide technology highly desirable for universally promoting GA to an extensive range of application domains. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Advances in Applied Clifford Algebras Springer Journals

Massive Geometric Algebra: Visions for C++ Implementations of Geometric Algebra to Scale into the Big Data Era

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Publisher
Springer International Publishing
Copyright
Copyright © 2017 by Springer International Publishing
Subject
Physics; Mathematical Methods in Physics; Theoretical, Mathematical and Computational Physics; Applications of Mathematics; Physics, general
ISSN
0188-7009
eISSN
1661-4909
D.O.I.
10.1007/s00006-017-0780-4
Publisher site
See Article on Publisher Site

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