English
Related papers

Related papers: Random Simple-Homotopy Theory

200 papers

The kd-tree and Bounding Volume Hierarchy (BVH) are well-known data structures for computing ray-object intersections. Less known is the Constrained Convex Space Partitioning (CCSP), which partitions space and makes the geometric primitives…

Graphics · Computer Science 2021-12-13 Roald Frederickx , Philip Dutré

We present a new approach to simple homotopy theory of polyhedra using finite topological spaces. We define the concept of collapse of a finite space and prove that this new notion corresponds exactly to the concept of a simplicial…

Algebraic Topology · Mathematics 2007-05-23 Jonathan Ariel Barmak , Elias Gabriel Minian

Let $M$ be a closed simply connected $7$-manifold. In this paper we establish homotopy decompositions of the reduced suspension space $\Sigma M$ into a wedge sum of simpler spaces when localized at a set of primes. These decompositions are…

Algebraic Topology · Mathematics 2025-08-19 Ruizhi Huang , Pengcheng Li

Several recent randomized linear algebra algorithms rely upon fast dimension reduction methods. A popular choice is the Subsampled Randomized Hadamard Transform (SRHT). In this article, we address the efficacy, in the Frobenius and spectral…

Data Structures and Algorithms · Computer Science 2015-03-20 Christos Boutsidis , Alex Gittens

Orthogonality constraints naturally appear in many machine learning problems, from principal component analysis to robust neural network training. They are usually solved using Riemannian optimization algorithms, which minimize the…

Machine Learning · Statistics 2025-08-08 Pierre Ablin , Simon Vary , Bin Gao , P. -A. Absil

We introduce a new model of random $d$-dimensional simplicial complexes, for $d\geq 2$, whose $(d-1)$-cells have bounded degrees. We show that with high probability, complexes sampled according to this model are coboundary expanders. The…

Combinatorics · Mathematics 2015-12-29 Alexander Lubotzky , Zur Luria , Ron Rosenthal

Oblique decision trees combine the transparency of trees with the power of multivariate decision boundaries, but learning high-quality oblique splits is NP-hard, and practical methods still rely on slow search or theory-free heuristics. We…

Machine Learning · Computer Science 2026-05-01 Hongyi Li , Han Lin , Jun Xu

This paper presents a novel set of algorithms for heap abstraction, identifying logically related regions of the heap. The targeted regions include objects that are part of the same component structure (recursive data structure). The result…

Logic in Computer Science · Computer Science 2012-12-21 Mohamed A. El-Zawawy

We study a natural model of random 2-dimensional cubical complex which is a subcomplex of an n-dimensional cube, and where every possible square $2$-face is included independently with probability p. Our main result is to exhibit a sharp…

Combinatorics · Mathematics 2020-09-21 Matthew Kahle , Elliot Paquette , Érika Roldán

We prove a conjecture of Benjamini and Curien stating that the local limits of uniform random triangulations whose genus is proportional to the number of faces are the Planar Stochastic Hyperbolic Triangulations (PSHT) defined in…

Probability · Mathematics 2023-07-19 Thomas Budzinski , Baptiste Louf

The random $2$-dimensional simplicial complex process starts with a complete graph on $n$ vertices, and in every step a new $2$-dimensional face, chosen uniformly at random, is added. We prove that with probability tending to $1$ as…

Combinatorics · Mathematics 2016-07-26 Tomasz Łuczak , Yuval Peled

We propose a new, very efficient algorithm for sampling of random surfaces in the Monte Carlo simulations, based on so-called baby universe surgery, i.e. cutting and pasting of baby universes. It drastically reduces slowing down as compared…

High Energy Physics - Lattice · Physics 2009-10-22 J. Ambjorn , P. Bialas , J. Jurkiewicz , Z. Burda , B. Petersson

Random feature approximation is arguably one of the most popular techniques to speed up kernel methods in large scale algorithms and provides a theoretical approach to the analysis of deep neural networks. We analyze generalization…

Machine Learning · Computer Science 2023-08-30 Mike Nguyen , Nicole Mücke

The goals of this paper are to obtain theoretical models of what happens when a computer calculates the rotation set of a homeomorphism, and to find a good algorithm to perform simulations of this rotation set. To do that we introduce the…

Dynamical Systems · Mathematics 2014-06-10 Pierre-Antoine Guiheneuf

Rectangulations are decompositions of a square into finitely many axis-aligned rectangles. We describe realizations of $(n-1)$-dimensional polytopes associated with two combinatorial families of rectangulations composed of $n$ rectangles.…

Combinatorics · Mathematics 2025-06-30 Jean Cardinal , Vincent Pilaud

We study the cohomology of symbolic dynamical systems called homshifts: they are the nearest-neighbour $\mathbb{Z}^d$ shifts of finite type whose adjacency rules are the same in every direction. Building on the work of Klaus Schmidt…

Dynamical Systems · Mathematics 2025-10-22 Nishant Chandgotia , Silvère Gangloff , Benjamin Hellouin de Menibus , Piotr Oprocha

We revisit the classical problem of searching in a binary search tree (BST) using rotations, and present novel connections of this problem to a number of geometric and combinatorial structures. In particular, we show that the execution…

Data Structures and Algorithms · Computer Science 2016-03-29 László Kozma , Thatchaphol Saranurak

Random tilings are interesting as idealizations of atomistic models of quasicrystals and for their connection to problems in combinatorics and algorithms. Of particular interest is the tiling entropy density, which measures the relation of…

Combinatorics · Mathematics 2015-09-21 Maxwell Hutchinson , Michael Widom

We introduce the notion of doubling and r-tupling for simplicial complexes, a notion reminiscent to that of matching complexes in graph theory. We prove a connectivity result for such complexes and relate r-tupling to stabilizing r times…

Combinatorics · Mathematics 2025-06-13 Kathryn Lesh , Bridget Schreiner , Nathalie Wahl

A one-parameter class of simple models of two-dimensional dilaton gravity, which can be exactly solved including back-reaction effects, is investigated at both classical and quantum levels. This family contains the RST model as a special…

High Energy Physics - Theory · Physics 2011-09-09 A. Fabbri , J. G. Russo