Demo Data from SIGIR 2026 / reviewers in the wild / expert
Brian Minnihan
dblp:76/2739
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Mathematical optimization
numerical analysis |
0.0 | 1 | 1979 | Reducibility Among Floating-Point Graphs · J. ACM 1979 |
Mathematical optimization › numerical analysis
round-off error analysis |
0.0 | 1 | 1979 | Reducibility Among Floating-Point Graphs · J. ACM 1979 |
Mathematical optimization › numerical analysis
numerical stability |
0.0 | 1 | 1979 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1979 | Reducibility Among Floating-Point GraphsabstractThe 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. ACM | 3 |