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We consider the evolution of hypersurfaces in $\mathbb{R}^{n+1}$ with normal velocity given by a positive power of the mean curvature. The hypersurfaces under consideration are assumed to be strictly mean convex (positive mean curvature),…

Differential Geometry · Mathematics 2021-04-02 Wolfgang Maurer

The Langberg-M\'edard multiple unicast conjecture claims that for any strongly reachable $k$-pair network, there exists a multi-flow with rate $(1,1,\dots,1)$. In a previous work, through combining and concatenating the so-called elementary…

Information Theory · Computer Science 2018-06-12 Kai Cai , Guangyue Han

When the underlying physical network layer in optimal network flow problems is a large graph, the associated optimization problem has a large set of decision variables. In this paper, we discuss how the cycle basis from graph theory can be…

Systems and Control · Computer Science 2017-06-06 Reza Asadi , Solmaz S. Kia

Minimum flow decomposition (MFD) is the NP-hard problem of finding a smallest decomposition of a network flow/circulation $X$ on a directed graph $G$ into weighted source-to-sink paths whose superposition equals $X$. We show that, for…

Data Structures and Algorithms · Computer Science 2023-05-11 Manuel Cáceres , Massimo Cairo , Andreas Grigorjew , Shahbaz Khan , Brendan Mumey , Romeo Rizzi , Alexandru I. Tomescu , Lucia Williams

We consider the problem of multicommodity flows in outerplanar graphs. Okamura and Seymour showed that the cut-condition is sufficient for routing demands in outerplanar graphs. We consider the unsplittable version of the problem and prove…

Data Structures and Algorithms · Computer Science 2025-05-21 David Alemán-Espinosa , Nikhil Kumar

Recent work has shown that leveraging learned predictions can improve the running time of algorithms for bipartite matching and similar combinatorial problems. In this work, we build on this idea to improve the performance of the widely…

Data Structures and Algorithms · Computer Science 2023-03-03 Sami Davies , Benjamin Moseley , Sergei Vassilvitskii , Yuyan Wang

We develop a novel distributed algorithm for the minimum cut problem. We primarily aim at solving large sparse problems. Assuming vertices of the graph are partitioned into several regions, the algorithm performs path augmentations inside…

Distributed, Parallel, and Cluster Computing · Computer Science 2011-09-07 Alexander Shekhovtsov , Vaclav Hlavac

Numerical calculations of the 2-D steady incompressible driven cavity flow are presented. The Navier-Stokes equations in streamfunction and vorticity formulation are solved numerically using a fine uniform grid mesh of 601x601. The steady…

Numerical Analysis · Mathematics 2025-10-20 E. Erturk , T. C. Corke , C. Gokcol

The dual of a planar graph $G$ is a planar graph $G^*$ that has a vertex for each face of $G$ and an edge for each pair of adjacent faces of $G$. The profound relationship between a planar graph and its dual has been the algorithmic basis…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-10-23 Yaseen Abd-Elhaleem , Michal Dory , Merav Parter , Oren Weimann

We give an algorithm with complexity $O(f(R)^{k^2} k^3 n)$ for the integer multiflow problem on instances $(G,H,r,c)$ with $G$ an acyclic planar digraph and $r+c$ Eulerian. Here, $f$ is a polynomial function, $n = |V(G)|$, $k = |E(H)|$ and…

Discrete Mathematics · Computer Science 2010-08-24 Guyslain Naves

We show an $(1+\epsilon)$-approximation algorithm for maintaining maximum $s$-$t$ flow under $m$ edge insertions in $m^{1/2+o(1)} \epsilon^{-1/2}$ amortized update time for directed, unweighted graphs. This constitutes the first sublinear…

Data Structures and Algorithms · Computer Science 2022-11-18 Gramoz Goranci , Monika Henzinger

We study the unsplittable flow on a path problem (UFP) where we are given a path with non-negative edge capacities and tasks, which are characterized by a subpath, a demand, and a profit. The goal is to find the most profitable subset of…

Data Structures and Algorithms · Computer Science 2012-11-13 Aris Anagnostopoulos , Fabrizio Grandoni , Stefano Leonardi , Andreas Wiese

We consider a variant of the continuous and discrete Ulam-Hammersley problems: we study the maximal length of an increasing path through a Poisson point process (or a Bernoulli point process) with the restriction that there must be minimal…

Probability · Mathematics 2019-03-13 Anne-Laure Basdevant , Lucas Gerin

Clar number and Fries number are two thoroughly investigated parameters of plane graphs emerging from mathematical chemistry to measure stability of organic molecules. We consider first a common generalization of these two concepts for…

Combinatorics · Mathematics 2024-06-12 Erika Bérczi-Kovács , András Frank

The solid-on-solid model provides a commonly used framework for the description of surfaces. In the last years it has been extended in order to investigate the effect of defects in the bulk on the roughness of the surface. The determination…

Condensed Matter · Physics 2009-10-28 U. Blasum , W. Hochstättler , C. Moll , H. Rieger

The problem of routing in graphs using node-disjoint paths has received a lot of attention and a polylogarithmic approximation algorithm with constant congestion is known for undirected graphs [Chuzhoy and Li 2016] and [Chekuri and Ene…

Data Structures and Algorithms · Computer Science 2017-11-07 Timothy Carpenter , Ario Salmasi , Anastasios Sidiropoulos

We consider the Widom-Rowlinson model of two types of interacting particles on d-regular graphs. We prove a tight upper bound on the occupancy fraction, the expected fraction of vertices occupied by a particle under a random configuration…

Combinatorics · Mathematics 2016-07-19 Emma Cohen , Will Perkins , Prasad Tetali

In this paper we introduce a new geometric flow --- the hyperbolic gradient flow for graphs in the $(n+1)$-dimensional Euclidean space $\mathbb{R}^{n+1}$. This kind of flow is new and very natural to understand the geometry of manifolds. We…

Differential Geometry · Mathematics 2016-09-09 De-Xing Kong , Kefeng Liu

This paper generalizes the Max-Flow Min-Cut (MFMC) theorem from the setting of numerical capacities to sheaves of partial semimodules over semirings on directed graphs. Motivating examples of partial semimodules include probability…

Algebraic Topology · Mathematics 2014-09-24 Sanjeevi Krishnan

The maximum-entropy sampling problem is a fundamental and challenging combinatorial-optimization problem, with application in spatial statistics. It asks to find a maximum-determinant order-$s$ principal submatrix of an order-$n$ covariance…

Optimization and Control · Mathematics 2020-02-03 Zhongzhu Chen , Marcia Fampa , Amélie Lambert , Jon Lee
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