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My view of the future of symbolic and algebraic computation

ACM SIGSAM Bulletin, 1984
This note has been composed in response to Bruno Buchberger's invitation to the program committee of Eurocal '85 (and others), to provide a short paper on this topic.
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International symposium on symbolic and algebraic computation poster abstracts 2003

ACM SIGSAM Bulletin, 2003
ISSAC 2003 was held on July 3--6, 2003 at Drexel University in Philadelphia, USA. Below are the abstracts of posters that were accepted and presented at the conference. The best poster award committee, consisting of J. Davenport, D. Jeffrey, M. Monagan, T. Shaska, T. Sturm, N. Takayama, E.
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Experiment of Multithreading Symbolic and Algebraic Computations with OpenMP

2006
This paper describes the current status of a project for multithreading algebraic computations, which aims at the utilization of today’s high-spec PCs with hyperthreading or dual-core technologies. Our effort is done by applying OpenXM with minimal cost of development, and includes memory management in multithreaded environment.
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Special issue on Symbolic and Algebraic Computation: ISSAC 2021

Journal of Symbolic Computation, 2023
Frédéric Chyzak, George Labahn
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A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part I: Models and Data Transformations

ACM Computing Surveys, 2023
Denis Kleyko   +2 more
exaly  

Algebraic, algebrogeometric methods and symbolic computations in linear control problems

1999
This chapter presents algebraic synthesis and algebrogeometric approaches in the study of control problems rely on the theory of invariants and canonical forms of polynomial matrices and use the theory of Groebner bases for the computation of solutions of polynomial equations in many variables.
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Applications of Computer Algebra to Algebraic Geometry, Singularity Theory and Symbolic-Numerical Solving

2001
Although computer algebra is a research field in its own, its main driving force comes from various fields of applications. These applications range from mathematics and computer science over physics and engineering up to applications to technical and industrial problems.
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AI Feynman: A physics-inspired method for symbolic regression

Science Advances, 2020
Silviu-Marian Udrescu, Max Erik Tegmark
exaly  

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