Randomized OBDDs for the most significant bit of multiplication need exponential size

0Citations
Citations of this article
2Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Integer multiplication as one of the basic arithmetic functions has been in the focus of several complexity theoretical investigations and ordered binary decision diagrams (OBDDs) are one of the most common dynamic data structures for Boolean functions. Only two years ago, the question whether the deterministic OBDD complexity of the most significant bit of integer multiplication is exponential has been answered affirmatively. Since probabilistic methods have turned out to be useful in almost all areas of computer science, one may ask whether randomization can help to represent the most significant bit of integer multiplication in smaller size. Here, it is proved that the randomized OBDD complexity is also exponential. © 2011 Springer-Verlag Berlin Heidelberg.

Cite

CITATION STYLE

APA

Bollig, B., & Gillé, M. (2011). Randomized OBDDs for the most significant bit of multiplication need exponential size. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6543 LNCS, pp. 135–145). https://doi.org/10.1007/978-3-642-18381-2_11

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free