Murali Krishna Enduri
Indian Institute of Technology Gandhinagar
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Publication
Featured researches published by Murali Krishna Enduri.
workshop on algorithms and computation | 2015
Bireswar Das; Murali Krishna Enduri; I. Vinod Reddy
We give a deterministic logspace algorithm for the graph isomorphism problem for graphs with bounded tree-depth. We also show that the graph isomorphism problem is fixed parameter tractable for a related parameterized graph class where the graph parameter is the length of the longest cycle.
Spatial and Spatio-temporal Epidemiology | 2018
Murali Krishna Enduri; Shivakumar Jolad
Dengue is a vector borne disease transmitted to humans by Aedes aegypti mosquitoes carrying virus of different serotypes. Dengue exhibits complex spatial and temporal dynamics, influenced by various biological, human and environmental factors. In this work, we study the dengue spread for a single serotype (DENV-1) including statistical models of human mobility with exponential step length distribution, by using reaction-diffusion equations and Stochastic Cellular Automata (SCA) approach. We analyze the spatial and temporal spreading of the disease using parameters from field studies. We choose mosquito density data from Ahmedabad city as a proxy for climate data in our SCA model. We find an interesting result that although human mobility makes the infection spread faster, there is an apparent early suppression of the epidemic compared to immobile humans. The disease extinction time is lesser when human mobility is included.
workshop on algorithms and computation | 2018
Bireswar Das; Murali Krishna Enduri; I. Vinod Reddy
In this paper, we study the parallel and the space complexity of the graph isomorphism problem (\(\mathsf {GI}\)) for several parameterizations.
Information Processing Letters | 2018
Bireswar Das; Anirban Dasgupta; Murali Krishna Enduri; I. Vinod Reddy
Abstract In this paper, we show that for a fixed k, there is an NC algorithm that separates the graphs of rank-width at most k from those with rank-width at least 3 k + 1 .
Conference on Algorithms and Discrete Applied Mathematics | 2018
Bireswar Das; Murali Krishna Enduri; Neeldhara Misra; I. Vinod Reddy
The Firefighting problem is defined as follows. At time
computing and combinatorics conference | 2016
Bireswar Das; Murali Krishna Enduri; I. Vinod Reddy
t=0
signal image technology and internet based systems | 2015
Murali Krishna Enduri; I. Vinod Reddy; Shivakumar Jolad
, a fire breaks out at a vertex of a graph. At each time step
arXiv: Populations and Evolution | 2014
Murali Krishna Enduri; Shivakumar Jolad
t \geq 0
Theoretical Computer Science | 2017
Bireswar Das; Murali Krishna Enduri; I. Vinod Reddy
, a firefighter permanently defends (protects) an unburned vertex, and the fire then spread to all undefended neighbors from the vertices on fire. This process stops when the fire cannot spread anymore. The goal is to find a sequence of vertices for the firefighter that maximizes the number of saved (non burned) vertices. The Firefighting problem turns out to be NP-hard even when restricted to bipartite graphs or trees of maximum degree three. We study the parameterized complexity of the Firefighting problem for various structural parameterizations. All our parameters measure the distance to a graph class (in terms of vertex deletion) on which the firefighting problem admits a polynomial time algorithm. Specifically, for a graph class
Bellman Prize in Mathematical Biosciences | 2017
Murali Krishna Enduri; Shivakumar Jolad
\mathcal{F}