Searcharxiv⌕ Search
Home/Archive/arXiv

arXiv · 1605.00967

Hierarchical Modeling of Multidimensional Data in Regularly Decomposed Spaces: Implementation on Computer

Olivier Guye
View original source ↗Read source document ↗Export metadata ↓

Abstract

The described works have been carried out in the framework of a mid-term study initiated by the Centre Electronique de l'Armement, then by an advanced study launched by the Direction de la Recherche et des Etudes Technologiques in France in the aim to develop new techniques for multidimensional hierarchical modeling and to port them on parallel architecture computers for satisfying the future needs in processing huge numerical data bases. Following the first tome describing the modeling principles, the second tome details the way used for developing the modeling software and for porting it on different computers, especially on parallel architecture computers. In addition to these works, it is gone through new algorithms that have been developed after those that have been presented in the former tome and that are described in pseudo-code in annex of the present document: - operators for constructive geometry (building simple shapes, Boolean operators, slice handling); - integral transformations (epigraph, hypograph, convex hull) ; - homotopic transformations (boundary, erosion, dilation, opening, closing) ; - median transformations (median filtering, thinning, median set, intrinsic dimension) ; - transformations of (hyper-)surface manifolds (median filtering, extension, polynomial fitting of a simple function). The present publication is ending with the software porting on two distributed memory parallel computers: - a thin-grained synchronous computer ; - a coarse-grained asynchronous computer.

Explore related subjects

cs.CG

Keep this discovery

BibTeXRIS

Olivier Guye. 2016-05-03. Hierarchical Modeling of Multidimensional Data in Regularly Decomposed Spaces: Implementation on Computer. https://arxiv.org/abs/1605.00967

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related papers

arXiv2026

Almost Linear Universal Point Sets for Planar Graphs

A point set is universal for planar graphs on $n$ vertices if every such graph has a straight-line drawing without crossings whose vertices belong to the set. We construct universal point sets of size $n^{1+o(1)}$, improving the previous quadratic upper bound. Our construction uses the reduction of Bannister, Cheng, Devanny, and Eppstein from universal point sets to superpatterns for $213$-avoiding permutations. We represent these permutations by ordered rooted forests and construct a small family of intervals containing every such forest. The result follows from a straightforward bound on the size of the family of intervals. GPT-6 Astra assisted in developing the construction and proof.

cs.CG↗
arXiv2026

Some results on Archdeacon's conjecture for rotation systems

A rotation system on $n$ elements assigns to each element a cyclic order of the other $n-1$ elements. A four-element subset is non-planar if its induced rotation system cannot be realized by a crossing-free drawing of $K_4$. As a combinatorial strengthening of Hill's conjecture on the crossing number of the complete graph, Archdeacon conjectured that every rotation system on $n$ elements has at least $H(n)=\frac{1}{4} \lfloor\frac {n}{2}\rfloor \lfloor\frac{n-1}{2}\rfloor \lfloor\frac{n-2}{2}\rfloor \lfloor\frac{n-3}{2}\rfloor$ non-planar four-element subsets. We computationally verify Archdeacon's conjecture for $n\leq 10$ and show that every extremal rotation system in these orders is realizable by a simple drawing. With computer assistance, we prove that every rotation system on $n$ elements has at least $(8/9 - o(1)) H(n)$ non-planar four-element subsets. We also present a proof by hand for a weaker lower bound of $(2/3-o(1)) H(n)$. Finally, extending recent work of Felsner on antipodal pairs in drawings, we show that Archdeacon's conjecture holds for antipodally shellable rotation systems.

cs.CG↗
arXiv2026

The Hyperbolic Surface Distance, Diameter, and Dirichlet Problems

Despite the prominence of hyperbolic surfaces in mathematics, basic algorithmic questions about them, even computing the distance between two points, have remained open, leaving many features of these surfaces inaccessible. The classical machinery assumes a polyhedral structure absent on a smooth surface. We remove these obstacles. We begin with an efficient $O(g^2)$ algorithm for the distance between two points, where $g$ is the genus of the surface. Building on it, we obtain an $O(g^2 \log g)$ method for answering distance queries from a fixed source and, as a consequence, for recentering a Dirichlet domain around an arbitrary point. This understanding of distances on the surface then lets us approximate the diameter to within any $\eps$ in time $O(g^3 \log g / \eps^2)$. We further show that the diameter, a single real number encoding a great deal about the surface, is exactly computable. Its hyperbolic cosine is an algebraic number over the field encoding the coefficients of the hyperbolic isometries defining the surface.

cs.CG↗