Demo Data from EDBT 2026 / reviewers in the wild / expert
Qun Ju
dblp:54/144
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2001
—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 computation
floating-point arithmetic |
0.0 | 1 | 2001 | Interval arithmetic: From principles to implementation · J. ACM 2001 |
Mathematical optimization › numerical analysis
interval arithmetic |
0.0 | 1 | 2001 | Interval arithmetic: From principles to implementation · J. ACM 2001 |
Mathematical optimization
numerical computation |
0.0 | 1 | 2001 | Interval arithmetic: From principles to implementation · J. ACM 2001 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2001 | Interval arithmetic: From principles to implementationabstractWe start with a mathematical definition of a real interval as a closed, connected set of reals. Interval arithmetic operations (addition, subtraction, multiplication, and division) are likewise defined mathematically and we provide algorithms for computing these operations assuming exact real arithmetic. Next, we define interval arithmetic operations on intervals with IEEE 754 floating point endpoints to be sound and optimal approximations of the real interval operations and we show that the IEEE standard's specification of operations involving the signed infinities, signed zeros, and the exact/inexact flag are such as to make a correct and optimal implementation more efficient. From the resulting theorems, we derive data that are sufficiently detailed to convert directly to a program for efficiently implementing the interval operations. Finally, we extend these results to the case of general intervals, which are defined as connected sets of reals that are not necessarily closed. Timothy J. Hickey, Qun Ju, M. H. van Emden |
J. ACM | 2 |