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In this paper we present a randomized algorithm for computing the collection of maximal layers for a point set in $E^{k}$ ($k = f(n)$). The input to our algorithm is a point set $P = \{p_1,...,p_n\}$ with $p_i \in E^{k}$. The proposed…

Computational Geometry · Computer Science 2015-11-12 Indranil Banerjee , Dana Richards

Motivated by the increasing interest in applications of graph geodesic convexity in machine learning and data mining, we present a heuristic for computing the geodesic convex hull of node sets in networks. It generates a set of almost…

Social and Information Networks · Computer Science 2022-06-16 Florian Seiffarth , Tamás Horváth , Stefan Wrobel

We bound the running time of an algorithm that computes the genus-two class polynomials of a primitive quartic CM-field K. This is in fact the first running time bound and even the first proof of correctness of any algorithm that computes…

Number Theory · Mathematics 2015-08-18 Marco Streng

We study Poncelet's Theorem in finite projective coordinate planes over the field $GF(p)$ and concentrate on a particular pencil of conics. For pairs of such conics we investigate whether we can find polygons with $n$ sides, which are…

Combinatorics · Mathematics 2014-09-11 Norbert Hungerbühler , Katharina Kusejko

The k-means method is one of the most widely used clustering algorithms, drawing its popularity from its speed in practice. Recently, however, it was shown to have exponential worst-case running time. In order to close the gap between…

Data Structures and Algorithms · Computer Science 2009-08-07 David Arthur , Bodo Manthey , Heiko Röglin

One of the main open problems in the qualitative theory of real planar differential systems is the study of limit cycles. In this article, we present an algorithmic approach for detecting how many limit cycles can bifurcate from the…

Symbolic Computation · Computer Science 2023-05-02 Bo Huang

In this paper we propose a novel efficient algorithm for calculating winding numbers, aiming at counting the number of roots of a given polynomial in a convex region on the complex plane. This algorithm can be used for counting and…

Numerical Analysis · Mathematics 2019-08-20 Vitaly Zaderman , Liang Zhao

An arrangement of $n$ curves in the plane is given. The query is a point $q$ and the goal is to find the face of the arrangement that contains $q$. A data-structure for point-location, preprocesses the curves into a data structure of…

Computational Geometry · Computer Science 2020-12-07 Sepideh Aghamolaei , Mohammad Ghodsi

We consider a bichromatic two-center problem for pairs of points. Given a set $S$ of $n$ pairs of points in the plane, for every pair, we want to assign a red color to one point and a blue color to the other, in such a way that the value…

Computational Geometry · Computer Science 2019-05-02 Haitao Wang , Jie Xue

Let $P$ be a polygon with $k$ vertices. Let $R$ and $B$ be two simple, interior disjoint curves on the boundary of $P$, with $n$ and $m$ vertices. We show how to compute the Fr\'echet distance between $R$ and $B$ using the geodesic…

Computational Geometry · Computer Science 2025-04-21 Thijs van der Horst , Marc van Kreveld , Tim Ophelders , Bettina Speckmann

We present some algorithms that provide useful topological information about curves in surfaces. One of the main algorithms computes the geometric intersection number of two properly embedded 1-manifolds $C_1$ and $C_2$ in a compact…

Geometric Topology · Mathematics 2026-03-23 Marc Lackenby

Let $G$ be a planar $3$-graph (i.e., a planar graph with vertex degree at most three) with $n$ vertices. We present the first $O(n^2)$-time algorithm that computes a planar orthogonal drawing of $G$ with the minimum number of bends in the…

Data Structures and Algorithms · Computer Science 2018-09-06 Walter Didimo , Giuseppe Liotta , Maurizio Patrignani

A closed quasigeodesic is a closed curve on the surface of a polyhedron with at most $180^\circ$ of surface on both sides at all points; such curves can be locally unfolded straight. In 1949, Pogorelov proved that every convex polyhedron…

Computational Geometry · Computer Science 2025-10-21 Erik D. Demaine , Adam C. Hesterberg , Jason S. Ku

This work focuses on reducing the physical cost of implementing quantum algorithms when using the state-of-the-art fault-tolerant quantum error correcting codes, in particular, those for which implementing the T gate consumes vastly more…

Quantum Physics · Physics 2021-11-24 Michele Mosca , Priyanka Mukhopadhyay

Let $P\subset\mathbb{R}^{2}$ be a set of $n$ points. In this paper we show two new algorithms, one to compute the number of triangulations of $P$, and one to compute the number of pseudo-triangulations of $P$. We show that our algorithms…

Computational Geometry · Computer Science 2013-12-12 Victor Alvarez , Karl Bringmann , Saurabh Ray

A convex polygon $Q$ is inscribed in a convex polygon $P$ if every side of $P$ contains at least one vertex of $Q$. We present algorithms for finding a minimum area and a minimum perimeter convex polygon inscribed in any given convex…

Metric Geometry · Mathematics 2021-09-24 Csenge Lili Ködmön , Zsolt Lángi

In a previous paper, we have shown that any Boolean formula can be encoded as a linear programming problem in the framework of Bayesian probability theory. When applied to NP-complete algorithms, this leads to the fundamental conclusion…

Data Structures and Algorithms · Computer Science 2012-12-21 Michel Feldmann

We study a path-planning problem amid a set $\mathcal{O}$ of obstacles in $\mathbb{R}^2$, in which we wish to compute a short path between two points while also maintaining a high clearance from $\mathcal{O}$; the clearance of a point is…

Computational Geometry · Computer Science 2017-06-12 Pankaj K. Agarwal , Kyle Fox , Oren Salzman

We give algorithms for computing the regression depth of a k-flat for a set of n points in R^d. The running time is O(n^(d-2) + n log n) when 0 < k < d-1, faster than the best time bound for hyperplane regression or for data depth.

Computational Geometry · Computer Science 2007-05-23 Marshall Bern , David Eppstein

$k$-means++ is an important algorithm for choosing initial cluster centers for the $k$-means clustering algorithm. In this work, we present a new algorithm that can solve the $k$-means++ problem with nearly optimal running time. Given $n$…

Data Structures and Algorithms · Computer Science 2024-02-15 Jiehao Liang , Somdeb Sarkhel , Zhao Song , Chenbo Yin , Junze Yin , Danyang Zhuo
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