Executive Summary : | The derandomization question lies at the intersection of algorithm design and lower bounds. Some of our recent works were on derandomizing the famous Isolation Lemma for various combinatorial families. Some of these implied derandomizations of known algebraic algorithms for various combinatorial optimization problems. While in some other works, we got a parallel equivalence between search and decision versions. PIs propose to pursue two lines of investigation - (i) obtaining new algorithmic results based on our derandomization of the Isolation Lemma in the most general setting and (ii) derandomize known algebraic algorithms for various combinatorial problems. |