Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Brian Minnihan

dblp:76/2739 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
0since 2021 · last 1979
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
1 paper
Mathematical optimization · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Mathematical optimization
numerical analysis
0.011979
Reducibility Among Floating-Point Graphs · J. ACM 1979
Mathematical optimization › numerical analysis
round-off error analysis
0.011979
Reducibility Among Floating-Point Graphs · J. ACM 1979
Mathematical optimization › numerical analysis
numerical stability
0.011979
Reducibility Among Floating-Point Graphs · J. ACM 1979

Methods — techniques the papers use, named apart from their topics

rounding error analysis · 0.0graph-theoretic modeling · 0.0
YearPublicationVenuePosition
1979 Reducibility Among Floating-Point Graphs
abstract
The graph-theoretical models of this paper can be used to compare the rounding error behavior of numerical programs The models follow the approach, popularized by Wilkinson, of assuming independent rounding errors at each arithmetic operation Models constructed on th~s assumpuon are more tractable than would be the case under more realistic assumptions There are identified two easily tested condmons on programs which guarantee that" error analyses are relatively lnsensmve to the particular graph model employed The development has the addmonal benefit of sometimes providing an elementary proof that one program is comparable in stablhty to another Examples of such results are gwen KEY WORDS AND PHRASES rounding errors, numerical stability, arithmetic graphs CR CATEGORIES 5 11, 5 14In order to represent programs as "arithmetic graphs," we restrict attention to straight-
Donald B. Johnson 0001, Webb Miller, Brian Minnihan, Celia Wrathall
J. ACM3