Research

Mathematical Sciences

Title :

Computational Complexity of Graph Partitioning Problems Related to Graph Coloring Problem

Area of research :

Mathematical Sciences

Focus area :

Computer Science, Graph Coloring

Principal Investigator :

Dr. Sounaka Mishra, Indian Institute Of Technology Madras, Tamil Nadu

Timeline Start Year :

2024

Timeline End Year :

2027

Contact info :

Details

Executive Summary :

The aim of this project is to study the computational complexity of some combinatorial optimization problems associated with some generalizations of graph coloring problem. For example, given a graph $G$, in Minimum $(k,l)$-Partization it is required to find a vertex set $S \subseteq V$ of minimum size such that $G[V\setminus S]$ is a $(k, l)$-graph. In literature, researchers have studied this problem in terms of exact exponential algorithms. In this project, we aim to study designing polynomial time approximation algorithms and proving lower bound results on the approximation factor. It is important to note that such kinds of results are interesting as long as $k$ and $l$ are at most 2. We also plan to investigate the complexity of the Minimum $H$-Coloring-Partization for various graphs $H$ and Minimum $k$-Choosable-Partization. Apart from this kind of minimum partization problem, we aim to find an interesting subclass of graphs for which there are polynomial time recognization algorithms for larger values of $k$ and $l$.

Total Budget (INR):

6,60,000

Organizations involved