activity
20152020
most citedPolynomial-time approximability of the k-Sink Location problem

6 citations · 10 across the 4 of their papers we have counts for

collaborators

7 papers

cs.DS2020

Minmax Regret 1-Sink Location Problems on Dynamic Flow Path Networks with Parametric Weights

Tetsuya Fujie, Yuya Higashikawa, Naoki Katoh +2

This paper addresses the minmax regret 1-sink location problem on dynamic flow path networks with parametric weights. We are given a dynamic flow network consisting of an undirecte…

cs.DS2020

Almost Linear Time Algorithms for Minsum -Sink Problems on Dynamic Flow Path Networks

Yuya Higashikawa, Naoki Katoh, Junichi Teruyama +1

We address the facility location problems on dynamic flow path networks. A dynamic flow path network consists of an undirected path with positive edge lengths, positive edge capaci…

cs.CG2019

On Computing a Center Persistence Diagram

Yuya Higashikawa, Naoki Katoh, Guohui Lin +4

Throughout this paper, a persistence diagram is composed of a set of planar points (each corresponding to a topological feature) above the line , as well as the…

cs.DS2018

Minsum -Sink Problem on Path Networks

Robert Benkoczi, Binay Bhattacharya, Yuya Higashikawa +2

We consider the problem of locating a set of sinks on a path network with general edge capacities that minimizes the sum of the evacuation times of all evacuees. We first prese…

cs.DS2018

Minmax Regret 1-Sink for Aggregate Evacuation Time on Path Networks

Binay Bhattacharya, Yuya Higashikawa, Tsunehiko Kameda +1

Evacuation in emergency situations can be modeled by a dynamic flow network. Two criteria have been used before: one is the evacuation completion time and the other is the aggregat…

cs.DS20164 cited

Optimal Evacuation Flows on Dynamic Paths with General Edge Capacities

Guru Prakash Arumugam, John Augustine, Mordecai J. Golin +3

A Dynamic Graph Network is a graph in which each edge has an associated travel time and a capacity (width) that limits the number of items that can travel in parallel along that ed…