Demo Data from VLDB 2026 / reviewers in the wild / expert
J. R. Voss
dblp:32/2120
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1960
—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 · 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
differential equations |
0.0 | 1 | 1960 | A Numerical Method for Solving Control Differential Equations on Digital Computers · J. ACM 1960 |
Algorithms and data structures
numerical algorithms |
0.0 | 1 | 1960 | A Numerical Method for Solving Control Differential Equations on Digital Computers · J. ACM 1960 |
Mathematical optimization › numerical analysis
numerical integration |
0.0 | 1 | 1960 | A Numerical Method for Solving Control Differential Equations on Digital Computers · J. ACM 1960 |
Methods — techniques the papers use, named apart from their topics
polynomial approximation · 0.0milne integration · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1960 | A Numerical Method for Solving Control Differential Equations on Digital ComputersabstractFrequently, as in missile control systems, linear differential equations are simultaneous with nonlinear but slower acting differential equations. The numerical solution of this type of system on a digital computer is significantly speeded up by approximating the forcing functions with polynomials, solving the linear equations exactly, and numerically integrating the nonlinear equations with Milne integration. Automatic interval adjustment is possible by comparing errors in the nonlinear integration. The interval selected is related to the shortest time constant of the nonlinear equations rather than the shortest of all the equations. With this system, both detailed transient response and steady state conditions are revealed with a minimum of machine time. William H. Anderson, R. B. Ball, J. R. Voss |
J. ACM | 3 |