Demo Data from EDBT 2026 / reviewers in the wild / expert
Michael C. Wirth
dblp:49/1934
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1979
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 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.
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Computational science and engineering · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computational science and engineering
symbolic computation |
0.0 | 1 | 1979 | Symbolic Vector and Dyadic Analysis · SIAM J. Comput. 1979 |
Computational science and engineering
fluid dynamics |
0.0 | 1 | 1979 | Symbolic Vector and Dyadic Analysis · SIAM J. Comput. 1979 |
Computational science and engineering
plasma physics |
0.0 | 1 | 1979 | Symbolic Vector and Dyadic Analysis · SIAM J. Comput. 1979 |
Methods — techniques the papers use, named apart from their topics
symbolic algebra · 0.0MACSYMA · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1979 | Symbolic Vector and Dyadic AnalysisabstractA computer program is described which performs symbolic algebra and calculus with vectors and dyadics. Implemented on the MACSYMA algebraic manipulation system, it is intended to be a reasonably complete analysis system for applications such as plasma physics and fluid dynamics. It includes manipulations of dot and cross products; gradient, divergence, curl and Laplacian operators; directional derivatives and outer products. Vector and dyadic equations can be automatically expanded into components for arbitrary orthogonal coordinate systems. Designed primarily for 2-dimensional and 3-dimensional use, the program also has some capability for higher dimensions. The internal structure of the code is discussed with regard to efficiency considerations. Example calculations and execution times are presented. Michael C. Wirth |
SIAM J. Comput. | 1 |