Adaptive Network Flow with k-Arc Destruction

11/02/2017
by   Thomas Ridremont, et al.
0

When a flow is not allowed to be reoriented the Maximum Residual Flow Problem with k-Arc Destruction is known to be NP-hard for k=2. We show that when a flow is allowed to be adaptive the problem becomes polynomial for every fixed k.

READ FULL TEXT

page 1

page 2

page 3

research
02/20/2019

On Polynomial-Time Combinatorial Algorithms for Maximum L-Bounded Flow

Given a graph G=(V,E) with two distinguished vertices s,t∈ V and an inte...
research
02/22/2022

Robust static and dynamic maximum flows

We study the robust maximum flow problem and the robust maximum flow ove...
research
11/24/2019

An Iterative Security Game for Computing Robust and Adaptive Network Flows

The recent advancement in cyberphysical systems has led to an exponentia...
research
12/09/2019

Novel approach for solving a variant of equal flow problem

In this article we consider a certain sub class of Integer Equal Flow pr...
research
02/25/2021

Generalized Parametric Path Problems

Parametric path problems arise independently in diverse domains, ranging...
research
02/15/2023

Dynamic Flows with Time-Dependent Capacities

Dynamic network flows, sometimes called flows over time, extend the noti...
research
08/02/2023

Optimal Sensor Deception to Deviate from an Allowed Itinerary

In this work, we study a class of deception planning problems in which a...

Please sign up or login with your details

Forgot password? Click here to reset