The art of algorithmic guessing in gfun - Inria - Institut national de recherche en sciences et technologies du numérique
Article Dans Une Revue Maple Transactions Année : 2022

The art of algorithmic guessing in gfun

Résumé

The technique of guessing can be very fruitful when dealing with sequences which arise in practice. This holds true especially when guessing is performed algorithmically and efficiently. One highly useful tool for this purpose is the package named gfun in the software Maple. In this text we explore and explain some of gfun's possibilities and illustrate them on two examples from recent mathematical research by the author and his collaborators.
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Dates et versions

hal-03427179 , version 1 (13-11-2021)
hal-03427179 , version 2 (07-09-2022)

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Sergey Yurkevich. The art of algorithmic guessing in gfun. Maple Transactions, 2022, 2 (1), pp.14421. ⟨10.5206/mt.v2i1.14421⟩. ⟨hal-03427179v2⟩
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