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In topological data analysis (TDA), a longstanding challenge is to recognize underlying geometric structures in noisy data. One motivating examples is the shape of a point cloud in Euclidean space given by image. Carlsson et al. proposed a…

Algebraic Topology · Mathematics 2024-11-20 Morten Brun

In this paper, we discuss an efficient algorithm for computing the growth distance between two compact convex sets with representable support functions. The growth distance between two sets is the minimum scaling factor such that the sets…

Robotics · Computer Science 2026-04-14 Akshay Thirugnanam , Koushil Sreenath

In this paper we study the generalized vertex cover problem (GVC), which is a generalization of various well studied combinatorial optimization problems. GVC is shown to be equivalent to the unconstrained binary quadratic programming…

Computational Complexity · Computer Science 2017-08-15 Pooja Pandey , Abraham P. Punnen

We present in this paper two different classes of general $K$-splitting algorithms for solving finite-dimensional convex optimization problems. Under the assumption that the function being minimized has a Lipschitz continuous gradient, we…

Optimization and Control · Mathematics 2015-03-13 Donald Goldfarb , Shiqian Ma

Rips complexes are important structures for analyzing topological features of metric spaces. Unfortunately, generating these complexes constitutes an expensive task because of a combinatorial explosion in the complex size. For $n$ points in…

Computational Geometry · Computer Science 2017-06-23 Aruni Choudhary , Michael Kerber , Sharath Raghvendra

We present an exact general remeshing scheme to compute analytic integrals of polynomial functions over the intersections between convex polyhedral cells of old and new meshes. In physics applications this allows one to ensure global mass,…

Computational Physics · Physics 2015-06-03 Devon Powell , Tom Abel

In this paper, we consider a class of generalized difference-of-convex functions (DC) programming, whose objective is the difference of two convex (not necessarily smooth) functions plus a decomposable (possibly nonconvex) function with…

Optimization and Control · Mathematics 2024-09-10 Chenjian Pan , Yingxin Zhou , Hongjin He , Chen Ling

Distributed optimization utilizes local computation and communication to realize a global aim of optimizing the sum of local objective functions. This article addresses a class of constrained distributed nonconvex optimization problems…

Optimization and Control · Mathematics 2024-05-07 Zhiyu He , Jianping He , Cailian Chen , Xinping Guan

A numerical method is formulated for the solution of the advective Cahn-Hilliard (CH) equation with constant and degenerate mobility in three-dimensional porous media with non-vanishing velocity on the exterior boundary. The CH equation…

Numerical Analysis · Mathematics 2016-10-12 Florian Frank , Chen Liu , Faruk O. Alpak , Beatrice Riviere

We present an algorithm where only the Cholesky basis is determined in the decomposition procedure. This allows for improved screening and a partitioned matrix decomposition scheme, both of which significantly reduce memory usage and…

Chemical Physics · Physics 2019-06-05 Sarai D. Folkestad , Eirik F. Kjønstad , Henrik Koch

Cofaces -- simplices that contain a given simplex -- have multiple important uses in generating and using a Vietoris-Rips filtration: both in creating the coboundary matrix for computing persistent cohomology, and for generating the ordered…

Computational Geometry · Computer Science 2024-12-05 Ulrich Bauer , Jordan Matuszewski , Mikael Vejdemo-Johansson

We generalize the Lellouch-Luscher formula, relating weak matrix elements in finite and infinite volumes, to the case of multiple strongly-coupled decay channels into two scalar particles. This is a necessary first step on the way to a…

High Energy Physics - Lattice · Physics 2013-05-30 Maxwell T. Hansen , Stephen R. Sharpe

We study two related quantities which generalize the concept of upper Banach density of a set to two measurable subsets of the plane. The first of them allows us to generalize a classic result on sufficiently large distances realized in a…

Classical Analysis and ODEs · Mathematics 2026-05-05 Bruno Predojević

We develop a framework for algorithms finding the diameter in graphs of bounded distance Vapnik-Chervonenkis dimension, in (parameterized) subquadratic time complexity. The class of bounded distance VC-dimension graphs is wide, including,…

Data Structures and Algorithms · Computer Science 2024-07-16 Lech Duraj , Filip Konieczny , Krzysztof Potępa

A \v{C}ech complex of a finite simple graph $G$ is a nerve complex of balls in the graph, with one ball centered at each vertex. More precisely, let the \v{C}ech complex $\mathcal{N}(G,r)$ be the nerve of all closed balls of radius…

Combinatorics · Mathematics 2023-11-21 Henry Adams , Samir Shukla , Anurag Singh

We consider the problem of covering the boundary of a simple polygon on n vertices using the minimum number of geodesic unit disks. We present an O(n \log^2 n+k) time 2-approximation algorithm for finding the centers of the disks, with k…

Computational Geometry · Computer Science 2015-03-03 George Rabanca , Ivo Vigan

We extend a distributed finite element method built upon model order reduction to arbitrary polynomial degree using a hybrid Nitsche scheme. The new method considerably simplifies the transformation of the finite element system to the…

Numerical Analysis · Mathematics 2026-01-13 Tom Gustafsson , Antti Hannukainen , Vili Kohonen , Juha Videman

Given a convex polygon $P$ with $n$ vertices, the two-center problem is to find two congruent closed disks of minimum radius such that they completely cover $P$. We propose an algorithm for this problem in the streaming setup, where the…

Computational Geometry · Computer Science 2015-12-09 Sanjib Sadhu , Sasanka Roy , Soumen Nandi , Anil Maheswari , Subhas C. Nandy

We develop and analyze the Generalized Multiplicative Gradient (GMG) method for solving a class of convex optimization problems over symmetric cones, where the objective function does not have Lipschitz gradient over the feasible region.…

Optimization and Control · Mathematics 2026-03-06 Renbo Zhao

From dedicated QCD studies to new physics background estimation, jets will be everywhere at the LHC. In these proceedings, we discuss two important recent series of improvements. In the first one, we introduce new algorithms and new…

High Energy Physics - Phenomenology · Physics 2015-05-13 Gregory Soyez