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S. Watt

5 papers hereh-index 263.8k citations209 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author2
  • last author3

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.SC4
  • cs.CV1
same name
  • S. Watt — 6 papers, h 7
  • S. Watt — 4 papers, h 14
  • S. Watt — 2 papers, h 7
  • S. Watt — 1 paper, h 21

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20102026
collaborators

5 papers

cs.SC2026

Algorithms for Linear Ordinary Differential Operators

Jean Della Dora, Stephen M. Watt

We describe an implementation in Scratchpad II of linear ordinary differential operators over a differential ring, acting on a module equipped with a compatible derivation. The abs…

cs.SC2023

Efficient Quotients of Non-Commutative Polynomials

Stephen M. Watt

It is shown how to compute quotients efficiently in non-commutative univariate polynomial rings. This extends earlier work where efficient generic quotients were studied with a pri…

cs.SC2023

Efficient Generic Quotients Using Exact Arithmetic

Stephen M. Watt

The usual formulation of efficient division uses Newton iteration to compute an inverse in a related domain where multiplicative inverses exist. On one hand, Newton iteration allow…

cs.CV2013

Determining Points on Handwritten Mathematical Symbols

Rui Hu, Stephen M. Watt

In a variety of applications, such as handwritten mathematics and diagram labelling, it is common to have symbols of many different sizes in use and for the writing not to follow s…

cs.SC2010

Symbolic Domain Decomposition

Jacques Carette, Alan P. Sexton, Volker Sorge +1

Decomposing the domain of a function into parts has many uses in mathematics. A domain may naturally be a union of pieces, a function may be defined by cases, or different boundary…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.