@ Electrical Engineering and Computer Science
Indian Institute of Science Education and Research, Bhopal, India
@ Department of Mathematics
Indian Institute of Science Education and Research, Pune, India
@ CISPA Helmholtz Center for Information Security, Saarbrucken, Germany
@ Max-Planck Institute for Informatics, Saarbrucken, Germany
@ University Of Bergen, Bergen, Norway
@ Ebay/PayPal Pvt Ltd.
@ The Institute of Mathematical Sciences ( IMSc ), HBNI, Chennai
@ The Institute of Mathematical Sciences ( IMSc ), HBNI, Chennai
@ Indian Institute of Technology ( IIT ), Roorkee
Title: Parameterized Approximability of Contraction to Classes of Chordal Graphs
Title: Graph Contraction: Old and New Developments
Title: Parameterized Approximability of Contraction to Classes of Chordal Graphs
We posit that carefully crafted lossy reduction rule can yield improved approximation solution in practice. I have implemented (in C++ and CPLEX) different algorithms to solve Dominating Set on sparse graphs for various benchmark instances to support our hypothesis.
Implemented various algorithms to solve the following problems on large graphs: Vertex Cover using C++ (in 2019), Steiner Tree using C++ (in 2018), and Minimum Fill-In using Python (in 2017).
One of the authors of SymPy, an open source Python library for symbolic mathematics. I have contributed to its development by submitting functions, reviewing pull request, fixing patches.