The complexity of Boolean functions
The complexity of Boolean functions
Bounded-width polynomial-size branching programs recognize exactly those languages in NC1
Journal of Computer and System Sciences - 18th Annual ACM Symposium on Theory of Computing (STOC), May 28-30, 1986
Lower bounds to the complexity of symmetric Boolean functions
Theoretical Computer Science
Concrete Math
Subquadratic simulations of circuits by branching programs
SFCS '89 Proceedings of the 30th Annual Symposium on Foundations of Computer Science
Hi-index | 0.00 |
Circuit size, branching program size, and formula size of Boolean functions, denoted by C(f), BP(f), and L(f), are the most important complexity measures for Boolean functions. Often also the formula size L*(f) over the restricted basis {∨, ∧, ¬} is considered. It is well-known that C(f) ≤ 3BP(f), BP(f) ≤ L*(f), L*(f) ≤ L(f)2, and C(f) ≤ L(f) - 1. These estimates are optimal. But the inequality BP(f) ≤ L(f)2 can be improved to BP(f) ≤ 1:360 L(f)β, where β = log4(3 + √5)