Jayalal Sarma
Indian Institute of Technology Madras
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Jayalal Sarma.
compiler construction | 2009
Nutan Limaye; Meena Mahajan; Jayalal Sarma
Abstract.The P-complete Circuit Value Problem CVP, when restricted to monotone planar circuits MPCVP, is known to be in NC3, and for the special case of upward stratified circuits, it is known to be in LogDCFL. In this paper we re-examine the complexity of MPCVP, with special attention to circuits with cylindrical embeddings. We characterize cylindricality, which is stronger than planarity but strictly generalizes upward planarity, and make the characterization partially constructive. We use this construction, and four key reduction lemmas, to obtain several improvements. We show that stratified cylindrical monotone circuits can be evaluated in LogDCFL, and arbitrary cylindrical monotone circuits can be evaluated in AC1(LogDCFL), while monotone circuits with one-input-face planar embeddings can be evaluated in LogCFL. For monotone circuits with focused embeddings, we show an upper bound of AC1(LogDCFL). We re-examine the NC3 algorithm for general MPCVP, and note that it is in AC1(LogCFL) = SAC2. Finally, we consider extensions beyond MPCVP. We show that monotone circuits with toroidal embeddings can, given such an embedding, be evaluated in NC. Also, special kinds of arbitrary genus circuits can also be evaluated in NC. We also show that planar non-monotone circuits with polylogarithmic negation-height can be evaluated in NC.
Theory of Computing Systems \/ Mathematical Systems Theory | 2009
Meena Mahajan; Jayalal Sarma
AbstractWe revisit a well studied linear algebraic problem, computing the rank and determinant of matrices, in order to obtain completeness results for small complexity classes. In particular, we prove that computing the rank of a class of diagonally dominant matrices is complete for
symposium on theoretical aspects of computer science | 2011
Youming Qiao; Jayalal Sarma; Bangsheng Tang
\textsf{L}
ACM Transactions on Computation Theory | 2015
Balagopal Komarath; Jayalal Sarma
. We show that computing the permanent and determinant of tridiagonal matrices over ℤ is in
computing and combinatorics conference | 2014
Sajin Koroth; Jayalal Sarma
\textsf {Gap} \textsf {NC}^{1}
mathematical foundations of computer science | 2010
Jing He; Hongyu Liang; Jayalal Sarma
and is hard for
Fundamenta Informaticae | 2016
Balagopal Komarath; Jayalal Sarma; K. S. Sunil
\textsf {NC}^{1}
ACM Transactions on Computation Theory | 2016
Mrinal Kumar; Gaurav Maheshwari; Jayalal Sarma
. We also initiate the study of computing the rigidity of a matrix: the number of entries that needs to be changed in order to bring the rank of a matrix below a given value. We show that some restricted versions of the problem characterize small complexity classes. We also look at a variant of rigidity where there is a bound on the amount of change allowed. Using ideas from the linear interval equations literature, we show that this problem is
computing and combinatorics conference | 2015
Balagopal Komarath; Jayalal Sarma; Saurabh Sawlani
\textsf {NP}
mathematical foundations of computer science | 2014
Kristoffer Arnsfelt Hansen; Balagopal Komarath; Jayalal Sarma; Sven Skyum; Navid Talebanfard
-hard over ℚ and that a certain restricted version is