AbstractWe examine the power of Boolean functions with low L1 norms in several settings. In a large part of the recent literature, the degree of a polynomial which represents a Boolean function in some way was chosen to be the measure of the complexity of the Boolean function. However, some functions with low communicational complexity (AND, OR, PARITY, ID) have high degree, but small L1 norms. So, in conjunction with communication complexity, instead of the degree, the L1 norm can be an important measure of hardness. We conjecture that the randomized communication complexity of any Boolean function is bounded by the polylogarithm of its L1 norm.We can prove only a weaker statement: we present a two-party, randomized, common-coin communicat...
Relations between the decision tree complexity and various other complexity measures of Boolean func...
We associate to each Boolean language complexity class C the algebraic class a.C consisting of famil...
AbstractWe construct Boolean functions (computable by polynomial-size circuits) with large lower bou...
AbstractWe examine the power of Boolean functions with low L1 norms in several settings. In a large ...
In this paper we prove several fundamental theorems, concerning the multi--party communication compl...
Computational complexity theory aims to understand what problems can be efficiently solved by comput...
Communication-complexity definitions and arguments are used to derive linear (Q(n)) and almost-linea...
This thesis studies computational complexity in concrete models of computation. We draw on a range o...
AbstractThe methods “Rank” and “Fooling Set” for proving lower bounds on the deterministic communica...
Can we design efficient algorithms for finding fast algorithms? This question is captured by various...
This work investigates the hardness of solving natural computational problems according to different...
AbstractA method for obtaining lower bounds on the contact circuit complexity of explicitly defined ...
In this paper we prove several fundamental theorems, concerning the multi--party communication compl...
We develop a new technique of proving lower bounds for the randomized communica-tion complexity of b...
AbstractThe methods “Rank” and “Fooling Set” for proving lower bounds on the deterministic communica...
Relations between the decision tree complexity and various other complexity measures of Boolean func...
We associate to each Boolean language complexity class C the algebraic class a.C consisting of famil...
AbstractWe construct Boolean functions (computable by polynomial-size circuits) with large lower bou...
AbstractWe examine the power of Boolean functions with low L1 norms in several settings. In a large ...
In this paper we prove several fundamental theorems, concerning the multi--party communication compl...
Computational complexity theory aims to understand what problems can be efficiently solved by comput...
Communication-complexity definitions and arguments are used to derive linear (Q(n)) and almost-linea...
This thesis studies computational complexity in concrete models of computation. We draw on a range o...
AbstractThe methods “Rank” and “Fooling Set” for proving lower bounds on the deterministic communica...
Can we design efficient algorithms for finding fast algorithms? This question is captured by various...
This work investigates the hardness of solving natural computational problems according to different...
AbstractA method for obtaining lower bounds on the contact circuit complexity of explicitly defined ...
In this paper we prove several fundamental theorems, concerning the multi--party communication compl...
We develop a new technique of proving lower bounds for the randomized communica-tion complexity of b...
AbstractThe methods “Rank” and “Fooling Set” for proving lower bounds on the deterministic communica...
Relations between the decision tree complexity and various other complexity measures of Boolean func...
We associate to each Boolean language complexity class C the algebraic class a.C consisting of famil...
AbstractWe construct Boolean functions (computable by polynomial-size circuits) with large lower bou...