Towards a library for straight-line programs.

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Title: Towards a library for straight-line programs.
Authors: van der Hoeven, Joris1 (AUTHOR) vdhoeven@lix.polytechnique.fr, Lecerf, Grégoire1 (AUTHOR) lecerf@lix.polytechnique.fr
Source: Applicable Algebra in Engineering, Communication & Computing. Mar2026, Vol. 37 Issue 2, p331-387. 57p.
Subjects: Software libraries (Computer programming), Computer software, Computational complexity
Abstract: Straight-line programs have proved to be an extremely useful framework both for theoretical work on algebraic complexity and for practical implementations. In this paper, we expose ideas for the development of high performance libraries dedicated to straight-line programs, with the hope that they will allow to fully leverage the theoretical advantages of this framework for practical applications. [ABSTRACT FROM AUTHOR]
Copyright of Applicable Algebra in Engineering, Communication & Computing is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Straight-line programs have proved to be an extremely useful framework both for theoretical work on algebraic complexity and for practical implementations. In this paper, we expose ideas for the development of high performance libraries dedicated to straight-line programs, with the hope that they will allow to fully leverage the theoretical advantages of this framework for practical applications. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Applicable Algebra in Engineering, Communication & Computing is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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              Text: Mar2026
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