The Extended Watson—Wong—Wyman Lemma in Maple

Watson's lemma is a famous technique for approximate evaluation of integrals with a large parameter. It's easy to implement in Maple, but there's a surprise: Maple's implementation is actually stronger than the lemma, because int and series are so strong. In consequence, we went back and proved a stronger lemma than what had been known. The lemma can improve the speed of evaluating integrals, and we give an extended example with evalhf, the Maple compiler, and the Threads package.

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Publication Details

Journal
Maple Transactions
Published
2024-10-31
DOI
https://doi.org/10.5206/mt.v4i3.21093
Primary Topic
Metaheuristic Optimization Algorithms Research
Type
article
Field-Weighted Citation Impact
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article

The Extended Watson—Wong—Wyman Lemma in Maple

Robert M. Corless, Erik Postma, Michelle Hatzel
Maple Transactions
Metaheuristic Optimization Algorithms Research
article

The Extended Watson—Wong—Wyman Lemma in Maple

Robert M. Corless, Erik Postma, Michelle Hatzel
article en

Abstract

Watson's lemma is a famous technique for approximate evaluation of integrals with a large parameter. It's easy to implement in Maple, but there's a surprise: Maple's implementation is actually stronger than the lemma, because int and series are so strong. In consequence, we went back and proved a stronger lemma than what had been known. The lemma can improve the speed of evaluating integrals, and we give an extended example with evalhf, the Maple compiler, and the Threads package.

Maple TransactionsVol. 4(3)
Western University (CA)
Openalex Percentile: Top 83%
Metaheuristic Optimization Algorithms Research
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