Demo Data from EDBT 2026 / reviewers in the wild / expert
H. Glass
dblp:08/411
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1965
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author
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 · 67% Algorithms and data structures · 33% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Mathematical optimization
constrained optimization |
0.0 | 1 | 1965 | Sequential Search: A Method for Solving Constrained Optimization Problems · J. ACM 1965 |
Mathematical optimization
linear programming |
0.0 | 1 | 1965 | Sequential Search: A Method for Solving Constrained Optimization Problems · J. ACM 1965 |
Algorithms and data structures › search algorithms
sequential search |
0.0 | 1 | 1965 | Sequential Search: A Method for Solving Constrained Optimization Problems · J. ACM 1965 |
Methods — techniques the papers use, named apart from their topics
sequential search · 0.0linear programming · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1965 | Sequential Search: A Method for Solving Constrained Optimization ProblemsabstractMathematical problems in which some explicitly stated function of ma:~y independent variables is to be minimized or maximized andin which the variables may also be subjected to various explicitly stated constraints (usually called the general problem ot' mathematical programming), continue to be difficult te solve in practice.The prescott work is an extension of previous ideas on unconstrained optimization by "search" techniques, to the more difficult problem of constrained optimization.The essence of the method herei~ presented is to use linear programming in certain situations where constraints limit search techniques to find a fruitful direction in which to continue the search.Computational experience, while limited, has indicated that the procedure is reasonably efhcier~t. H. Glass, Leon Cooper |
J. ACM | 1 |