Demo Data from VLDB 2026 / reviewers in the wild / expert
Andrey A. Shoom
dblp:396/7265
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2025
0000-0002-1023-6207ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 1 · 1 first-author · 1 since 2021
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 · 61% Computational geometry · 30% Coding theory · 9% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Mathematical optimization › approximation theory
chebyshev approximation |
0.9 | 1 | 2025 | Computation of the Schläfli Function · IEEE Trans. Inf. Theory 2025 |
Mathematical optimization
numerical computation |
0.9 | 1 | 2025 | Computation of the Schläfli Function · IEEE Trans. Inf. Theory 2025 |
Coding theory › error-correcting codes › coding bounds › packing bounds
sphere-packing bound |
0.3 | 1 | 2025 | Computation of the Schläfli Function · IEEE Trans. Inf. Theory 2025 |
Methods — techniques the papers use, named apart from their topics
numerical computation · 0.9chebyshev approximation · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Computation of the Schläfli FunctionabstractThe Schläfli function$f_{n}(x)$allows to compute volume of a regular$(n-1)$-dimensional spherical simplex of the dihedral angle$2\alpha =$arcsec(x) and it has many applications. For example, it defines conjectured upper bounds on the sphere packing problem and the kissing number problem, and a lower bound on the mean-squared error in the quantizing problem. The function is defined recursively via a first-order non-linear differential relation, that makes it difficult to compute, especially for large values of n. Here we present a method for an accurate numerical computation of the Schläfli function$f_{n}(x)$for$n\geq 4$in the frequently used in applications interval$x\in [n-1,n+1]$. The computation is based on the Chebyshev approximation of the function$q_{n}(x)$, which is related to the Schläfli function via a simple factor of an algebraic expression and regular in the interval. We also present the computation algorithm based on the method. Andrey A. Shoom |
IEEE Trans. Inf. Theory | 1 |