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We prove that any oblivious algorithm using space $S$ to find the median of a list of $n$ integers from $\{1,...,2n\}$ requires time $\Omega(n \log\log_S n)$. This bound also applies to the problem of determining whether the median is odd…

Computational Complexity · Computer Science 2015-05-04 Paul Beame , Vincent Liew , Mihai Pǎtraşcu

Population protocols are a popular model of distributed computing, in which randomly-interacting agents with little computational power cooperate to jointly perform computational tasks. Inspired by developments in molecular computation, and…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-04-18 Dan Alistarh , James Aspnes , David Eisenstat , Rati Gelashvili , Ronald L. Rivest

Given a separation oracle for a convex set $K \subset \mathbb{R}^n$ that is contained in a box of radius $R$, the goal is to either compute a point in $K$ or prove that $K$ does not contain a ball of radius $\epsilon$. We propose a new…

Data Structures and Algorithms · Computer Science 2020-04-10 Haotian Jiang , Yin Tat Lee , Zhao Song , Sam Chiu-wai Wong

Given a set of N points, we have discovered an algorithm that can separate these points from one another by n-dimensional planes. Each point is chosen at random and put into a set S and planes which separate them are determined and put into…

Computational Geometry · Computer Science 2015-10-26 K. Eswaran

We present a faster symbolic algorithm for the following central problem in probabilistic verification: Compute the maximal end-component (MEC) decomposition of Markov decision processes (MDPs). This problem generalizes the SCC…

Logic in Computer Science · Computer Science 2021-04-16 Krishnendu Chatterjee , Wolfgang Dvořák , Monika Henzinger , Alexander Svozil

This paper presents rigorous forward error bounds for linear conic optimization problems. The error bounds are formulated in a quite general framework; the underlying vector spaces are not required to be finite-dimensional, and the convex…

Optimization and Control · Mathematics 2007-07-31 Christian Jansson

Spatial range joins have many applications, including geographic information systems, location-based social networking services, neuroscience, and visualization. However, joins incur not only expensive computational costs but also too large…

Databases · Computer Science 2025-08-22 Daichi Amagata

Given topological spaces X and Y, a fundamental problem of algebraic topology is understanding the structure of all continuous maps X -> Y . We consider a computational version, where X, Y are given as finite simplicial complexes, and the…

Computational Geometry · Computer Science 2014-01-31 Martin Čadek , Marek Krčál , Jiří Matoušek , Francis Sergeraert , Lukáš Vokřínek , Uli Wagner

Consider a set $V$ of voters, represented by a multiset in a metric space $(X,d)$. The voters have to reach a decision -- a point in $X$. A choice $p\in X$ is called a $\beta$-plurality point for $V$, if for any other choice $q\in X$ it…

Computational Geometry · Computer Science 2023-12-20 Arnold Filtser , Omrit Filtser

We consider an online vector balancing game where vectors $v_t$, chosen uniformly at random in $\{-1,+1\}^n$, arrive over time and a sign $x_t \in \{-1,+1\}$ must be picked immediately upon the arrival of $v_t$. The goal is to minimize the…

Data Structures and Algorithms · Computer Science 2020-07-14 Nikhil Bansal , Joel H. Spencer

This article presents a validation of a recently proposed strongly polynomial-time algorithm for the general linear programming problem. The proposed algorithm is an implicit reduction procedure that combines primal and dual linear…

Optimization and Control · Mathematics 2026-04-28 Samuel Awoniyi

In this work we develop a new algorithm for rating of teams (or players) in one-on-one games by exploiting the observed difference of the game-points (such as goals), also known as a margin of victory (MOV). Our objective is to obtain the…

Methodology · Statistics 2022-02-09 Leszek Szczecinski

The spatial public goods game has been used to examine factors that promote cooperation. Owing to the complexity of the dynamics of this game, previous studies on this model neglected analytical approaches and relied entirely on numerical…

Physics and Society · Physics 2026-03-06 Yu Takiguchi , Koji Nemoto

While the U.S. Supreme Court is commonly viewed as comprising a liberal bloc and a conservative bloc, with a possible swing vote or median justice between them, surprisingly many case decisions are not explained by this simple model. We…

Computers and Society · Computer Science 2018-04-24 Noah Giansiracusa , Cameron Ricciardi

Genetic algorithms are a powerful tool in optimization for single and multi-modal functions. This paper provides an overview of their fundamentals with some analytical examples. In addition, we explore how they can be used as a parameter…

Geospatial reasoning requires solving image-grounded problems over the complex spatial structure of a scene. However, developing this capability is hindered by the cost of annotating a vast and combinatorial question space. We propose GeoX,…

Artificial Intelligence · Computer Science 2026-05-20 Kyeongjin Ahn , Seungeon Lee , Krishna P. Gummadi , Meeyoung Cha

The O(3) nonlinear sigma model with boundary, in dimension two, is considered. An algorithm to determine all its soliton solutions that preserve a rotational symmetry in the boundary is exhibited. This nonlinear problem is reduced to that…

High Energy Physics - Theory · Physics 2010-11-19 Manuel Barros

Given a set of $n$ points in the Euclidean plane, such that just $k$ points are strictly inside the convex hull of the whole set, we want to find the shortest tour visiting every point. The fastest known algorithm for the version when $k$…

Data Structures and Algorithms · Computer Science 2014-06-10 Pawel Gawrychowski , Damian Rusak

We study the complexity of computing the commuting-operator value $\omega^*$ of entangled XOR games with any number of players. We introduce necessary and sufficient criteria for an XOR game to have $\omega^* = 1$, and use these criteria to…

Quantum Physics · Physics 2019-02-12 Adam Bene Watts , Aram W. Harrow , Gurtej Kanwar , Anand Natarajan

Learning a nonparametric system of ordinary differential equations from trajectories in a $d$-dimensional state space requires learning $d$ functions of $d$ variables. Explicit formulations often scale quadratically in $d$ unless additional…

Machine Learning · Statistics 2025-07-29 Victor Rielly , Kamel Lahouel , Ethan Lew , Nicholas Fisher , Vicky Haney , Michael Wells , Bruno Jedynak