arXiv subjects

Pawan Aurora

Publications and source records attributed to Pawan Aurora.

3 recordsLinked to original sources

arXiv2020

On the Complexity of Some Facet-Defining Inequalities of the QAP-polytope

The Quadratic Assignment Problem (QAP) is a well-known NP-hard problem that is equivalent to optimizing a linear objective function over the QAP polytope. The QAP polytope with parameter $n$ - \qappolytope{n} - is defined as the convex hull of rank-$1$ matrices $xx^T$ with $x$ as the vectorized $n\times n$ permutation matrices. In this paper we consider all the known exponential-sized families of facet-defining inequalities of the QAP-polytope. We describe a new family of valid inequalities that we show to be facet-defining. We also show that membership testing (and hence optimizing) over some of the known classes of inequalities is coNP-complete. We complement our hardness results by showing a lower bound of $2^{Ω(n)}$ on the extension complexity of all relaxations of \qappolytope{n} for which any of the known classes of inequalities are valid.

cs.CC↗

arXiv2013

Completely Positive formulation of the Graph Isomorphism Problem

Given two graphs $G_1$ and $G_2$ on $n$ vertices each, we define a graph $G$ on vertex set $V_1\times V_2$ and the edge set as the union of edges of $G_1\times \bar{G_2}$, $\bar{G_1}\times G_2$, $\{(v,u'),(v,u"))(|u',u"\in V_2\}$ for each $v\in V_1$, and $\{((u',v),(u",v))|u',u"\in V_1\}$ for each $v\in V_2$. We consider the completely-positive Lovász $\vartheta$ function, i.e., $cp\vartheta$ function for $G$. We show that the function evaluates to $n$ whenever $G_1$ and $G_2$ are isomorphic and to less than $n-1/(4n^4)$ when non-isomorphic. Hence this function provides a test for graph isomorphism. We also provide some geometric insight into the feasible region of the completely positive program.

cs.DS↗

arXiv2012

Partial Degree Bounded Edge Packing Problem with Arbitrary Bounds

We study the Partial Degree Bounded Edge Packing (PDBEP) problem introduced in [5] by Zhang. They have shown that this problem is NP-Hard even for uniform degree constraint. They also presented approximation algorithms for the case when all the vertices have degree constraint of 1 and 2 with approximation ratio of 2 and 32=11 respectively. In this work we study general degree constraint case (arbitrary degree constraint for each vertex) and present two combinatorial approximation algorithms with approximation factors 4 and 2. We also study integer program based solution and present an iterative rounding algorithm with approximation factor 3/(1 - ε)^2 for any positive ε. Next we study the same problem with weighted edges. In this case we present an O(log n) approximation algorithm. Zhang has given an exact O(n^2) complexity algorithm for trees in case of uniform degree constraint. We improve their result by giving O(nlog n) complexity exact algorithm for trees with general degree constraint.

cs.DS↗