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Andrey A. Shoom

dblp:396/7265 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Mathematical optimization › approximation theory
chebyshev approximation
0.912025
Computation of the Schläfli Function · IEEE Trans. Inf. Theory 2025
Mathematical optimization
numerical computation
0.912025
Computation of the Schläfli Function · IEEE Trans. Inf. Theory 2025
Coding theory › error-correcting codes › coding bounds › packing bounds
sphere-packing bound
0.312025
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
YearPublicationVenuePosition
2025 Computation of the Schläfli Function
abstract
The 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. Theory1