A New Model in Firefighting Theory

11/23/2019
by   Rolf Klein, et al.
0

Continuous and discrete models for firefighting problems are well-studied in Theoretical Computer Science. We introduce a new, discrete, and more general framework based on a hexagonal cell graph to study firefighting problems in varied terrains. We present three different firefighting problems in the context of this model; for two of which, we provide efficient polynomial time algorithms and for the third, we show NP-completeness. We also discuss possible extensions of the model and their implications on the computational complexity.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
05/08/2020

Dynamical Systems Theory and Algorithms for NP-hard Problems

This article surveys the burgeoning area at the intersection of dynamica...
research
02/26/2018

On Strong NP-Completeness of Rational Problems

The computational complexity of the partition, 0-1 subset sum, unbounded...
research
03/11/2021

Hardness of Token Swapping on Trees

Given a graph where every vertex has exactly one labeled token, how can ...
research
05/25/2021

The Complexity of Subelection Isomorphism Problems

We study extensions of the Election Isomorphism problem, focused on the ...
research
01/19/2018

Invitation to Real Complexity Theory: Algorithmic Foundations to Reliable Numerics with Bit-Costs

While concepts and tools from Theoretical Computer Science are regularly...
research
08/29/2022

Inference and Optimization for Engineering and Physical Systems

The central object of this PhD thesis is known under different names in ...
research
05/30/2018

Protein Design by Algorithm

We review algorithms for protein design in general. Although these algor...

Please sign up or login with your details

Forgot password? Click here to reset