2017
DOI: 10.1007/s11424-017-6202-9
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Some open problems related to creative telescoping

Abstract: Creative telescoping is the method of choice for obtaining information about definite sums or integrals. It has been intensively studied since the early 1990s, and can now be considered as a classical technique in computer algebra. At the same time, it is still subject of ongoing research. In this paper, we present a selection of open problems in this context. We would be curious to hear about any substantial progress on any of these problems.

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Cited by 23 publications
(12 citation statements)
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“…Our solution to Problem 1.1 is made precise in Theorems 5.9, 3.3, and 7.1. As far as we aware of, these results are new, and provide a positive answer to [10,Problem 2.2]. The application to creative telescoping is well known; see for instance [14, section 1.2.1].…”
Section: Letmentioning
confidence: 70%
See 1 more Smart Citation
“…Our solution to Problem 1.1 is made precise in Theorems 5.9, 3.3, and 7.1. As far as we aware of, these results are new, and provide a positive answer to [10,Problem 2.2]. The application to creative telescoping is well known; see for instance [14, section 1.2.1].…”
Section: Letmentioning
confidence: 70%
“…The existence of a reduction-based algorithm for general differential equations was raised as open Problem 2.2 in [10]. Problem 1.1 is essentially a more precise form of this problem, by specifying the space on which the reduction acts.…”
Section: Letmentioning
confidence: 99%
“…To date, there are no less than four generations of creative telescoping algorithms; examples of 4G integration algorithms are in [18] and [11]. For more details, we refer the reader to the surveys [29,32,47].…”
Section: Explicit Expressionsmentioning
confidence: 99%
“…Since then, algorithms for creative telescoping have been extensively studied. Based on the techniques used in the algorithms, the existing algorithms are divided into four generations, see [13] for the details. Most recent algorithms are called reduction-based algorithms which were first introduced by Bostan et al in [6] and further developed in [7,14,15,8] etc.…”
Section: Introductionmentioning
confidence: 99%