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Making Presentation Math Computable : A Context-Sensitive Approach for Translating LaTeX to Computer Algebra Systems / by André Greiner-Petter.

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Format:
Book
Author/Creator:
Greiner-Petter, André.
Series:
Computer Science and Engineering (German Language) Series
Language:
English
Subjects (All):
Engineering mathematics.
Engineering--Data processing.
Engineering.
Computational intelligence.
Algebra.
Artificial intelligence.
Mathematical and Computational Engineering Applications.
Computational Intelligence.
Artificial Intelligence.
Local Subjects:
Mathematical and Computational Engineering Applications.
Computational Intelligence.
Algebra.
Artificial Intelligence.
Physical Description:
1 electronic resource (197 p.)
Edition:
1st ed. 2023.
Place of Publication:
Wiesbaden : Springer Fachmedien Wiesbaden : Imprint: Springer Vieweg, 2023.
Language Note:
English
Summary:
This Open-Access-book addresses the issue of translating mathematical expressions from LaTeX to the syntax of Computer Algebra Systems (CAS). Over the past decades, especially in the domain of Sciences, Technology, Engineering, and Mathematics (STEM), LaTeX has become the de-facto standard to typeset mathematical formulae in publications. Since scientists are generally required to publish their work, LaTeX has become an integral part of today's publishing workflow. On the other hand, modern research increasingly relies on CAS to simplify, manipulate, compute, and visualize mathematics. However, existing LaTeX import functions in CAS are limited to simple arithmetic expressions and are, therefore, insufficient for most use cases. Consequently, the workflow of experimenting and publishing in the Sciences often includes time-consuming and error-prone manual conversions between presentational LaTeX and computational CAS formats. To address the lack of a reliable and comprehensive translation tool between LaTeX and CAS, this thesis makes the following three contributions. First, it provides an approach to semantically enhance LaTeX expressions with sufficient semantic information for translations into CAS syntaxes. Second, it demonstrates the first context-aware LaTeX to CAS translation framework LaCASt. Third, the thesis provides a novel approach to evaluate the performance for LaTeX to CAS translations on large-scaled datasets with an automatic verification of equations in digital mathematical libraries. About the Author Dr. André Greiner-Petter is a postdoctoral researcher at the NII.
ISBN:
9783658404734
3658404736
OCLC:
1369651541

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