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Graph Isomorphism is the prime example of a computational problem with a wide difference between the best known lower and upper bounds on its complexity. We bridge this gap for a natural and important special case, planar graph isomorphism,…

Computational Complexity · Computer Science 2009-01-30 Samir Datta , Nutan Limaye , Prajakta Nimbhorkar , Thomas Thierauf , Fabian Wagner

When searching for a planar line, if given no further information, one should adopt a logarithmic spiral strategy (although unproven).

Optimization and Control · Mathematics 2016-03-15 Steven R. Finch

Many applications like pointer analysis and incremental compilation require maintaining a topological ordering of the nodes of a directed acyclic graph (DAG) under dynamic updates. All known algorithms for this problem are either only…

Data Structures and Algorithms · Computer Science 2008-02-08 Deepak Ajwani , Tobias Friedrich

Directed acyclic graph (DAG) has been widely employed to represent directional relationships among a set of collected nodes. Yet, the available data in one single study is often limited for accurate DAG reconstruction, whereas heterogeneous…

Machine Learning · Statistics 2023-10-17 Mingyang Ren , Xin He , Junhui Wang

We analyze the statistics of the shortest and fastest paths on the road network between randomly sampled end points. To a good approximation, these optimal paths are found to be directed in that their lengths (at large scales) are linearly…

Statistical Mechanics · Physics 2017-11-08 A. P. Solon , G. Bunin , S. Chu , M. Kardar

Directed acyclic graphs (DAGs) are commonly used to represent causal relationships among random variables in graphical models. Applications of these models arise in the study of physical, as well as biological systems, where directed edges…

Machine Learning · Statistics 2009-12-01 Ali Shojaie , George Michailidis

(I) We prove that the (maximum) number of monotone paths in a geometric triangulation of $n$ points in the plane is $O(1.7864^n)$. This improves an earlier upper bound of $O(1.8393^n)$; the current best lower bound is $\Omega(1.7003^n)$.…

Computational Geometry · Computer Science 2016-10-05 Adrian Dumitrescu , Ritankar Mandal , Csaba D. Tóth

We give a fully polynomial-time randomized approximation scheme (FPRAS) for two terminal reliability in directed acyclic graphs (DAGs). In contrast, we also show the complementing problem of approximating two terminal unreliability in DAGs…

Data Structures and Algorithms · Computer Science 2024-02-16 Weiming Feng , Heng Guo

The treewidth of control flow graphs arising from structured programs is known to be at most six. However, as a control flow graph is inherently directed, it makes sense to consider a measure of width for digraphs instead. We use the…

Discrete Mathematics · Computer Science 2015-03-04 Therese Biedl , Sebastian Fischmeister , Neeraj Kumar

Computing a minimum path cover (MPC) of a directed acyclic graph (DAG) is a fundamental problem with a myriad of applications, including reachability. Although it is known how to solve the problem by a simple reduction to minimum flow,…

Data Structures and Algorithms · Computer Science 2023-08-21 Manuel Cáceres , Brendan Mumey , Santeri Toivonen , Alexandru I. Tomescu

Computing a shortest path between two nodes in an undirected unweighted graph is among the most basic algorithmic tasks. Breadth first search solves this problem in linear time, which is clearly also a lower bound in the worst case.…

Data Structures and Algorithms · Computer Science 2023-08-01 Noga Alon , Allan Grønlund , Søren Fuglede Jørgensen , Kasper Green Larsen

Let $G$ be a unit disk graph in the plane defined by $n$ disks whose positions are known. For the case when $G$ is unweighted, we give a simple algorithm to compute a shortest path tree from a given source in $O(n\log n)$ time. For the case…

Computational Geometry · Computer Science 2014-11-19 Sergio Cabello , Miha Jejčič

We give an O(n log^3 n) algorithm that, given an n-node directed planar graph with arc capacities, a set of source nodes, and a set of sink nodes, finds a maximum flow from the sources to the sinks. Previously, the fastest algorithms known…

Discrete Mathematics · Computer Science 2011-05-12 Glencora Borradaile , Philip N. Klein , Shay Mozes , Yahav Nussbaum , Christian Wulff-Nilsen

Let $f(n,H)$ denote the maximum number of copies of $H$ in an $n$-vertex planar graph. The order of magnitude of $f(n,P_k)$, where $P_k$ is a path on $k$ vertices, is $n^{{\lfloor{\frac{k-1}{2}}\rfloor}+1}$. In this paper we determine the…

Combinatorics · Mathematics 2021-10-18 Debarun Ghosh , Ervin Győri , Ryan R. Martin , Addisu Paulos , Nika Salia , Chuanqi Xiao , Oscar Zamora

It is well-known that every planar graph has a Tutte path, i.e., a path $P$ such that any component of $G-P$ has at most three attachment points on $P$. However, it was only recently shown that such Tutte paths can be found in polynomial…

Data Structures and Algorithms · Computer Science 2019-03-13 Therese Biedl , Philipp Kindermann

Recent work on causal abstraction, in particular graphical approaches focusing on causal structure between clusters of variables, aims to summarize a high-dimensional causal structure in terms of a low-dimensional one. Existing methods for…

Machine Learning · Statistics 2026-05-12 Francisco Madaleno , Francisco C Pereira , Alex Markham

We give an $O(n \log \log n)$ time algorithm for computing the minimum cut (or equivalently, the shortest cycle) of a weighted directed planar graph. This improves the previous fastest $O(n\log^3 n)$ solution. Interestingly, while in…

Data Structures and Algorithms · Computer Science 2016-11-15 Shay Mozes , Cyril Nikolaev , Yahav Nussbaum , Oren Weimann

The problem of learning a directed acyclic graph (DAG) up to Markov equivalence is equivalent to the problem of finding a permutation of the variables that induces the sparsest graph. Without additional assumptions, this task is known to be…

Methodology · Statistics 2020-11-10 Chandler Squires , Joshua Amaniampong , Caroline Uhler

We describe computationally efficient methods for learning mixtures in which each component is a directed acyclic graphical model (mixtures of DAGs or MDAGs). We argue that simple search-and-score algorithms are infeasible for a variety of…

Machine Learning · Computer Science 2015-05-19 Bo Thiesson , Christopher Meek , David Maxwell Chickering , David Heckerman

We develop a new technique for computing maximum flow in directed planar graphs with multiple sources and a single sink that significantly deviates from previously known techniques for flow problems. This gives rise to an…

Discrete Mathematics · Computer Science 2011-05-11 Philip N. Klein , Shay Mozes
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