AbstractSensitivity is one of the simplest, and block sensitivity one of the most useful, invariants of a boolean function. Nisan [SIAM J. Comput. 20(6) (1991) 999] and Nisan and Szegedy [Comput. Complexity 4(4) (1994) 301] have shown that block sensitivity is polynomially related to a number of measures of boolean function complexity. The main open question is whether or not a polynomial relationship exists between sensitivity and block sensitivity. We define the intermediate notion of ℓ-block sensitivity, and show that, for any fixed ℓ, this new quantity is polynomially related to sensitivity. We then achieve an improved (though still exponential) upper bound on block sensitivity in terms of sensitivity. As a corollary, we also prove that...
This thesis is concerned with the study of the noise sensitivity of boolean functions and its applic...
We provide new query complexity separations against sensitivity for total Boolean functions: a power...
AbstractThe parity decision tree model extends the decision tree model by allowing the computation o...
AbstractSensitivity is one of the simplest, and block sensitivity one of the most useful, invariants...
Nisan and Szegedy [Nisan and Szegedy, 1994] conjectured that block sensitivity is at most polynomial...
The sensitivity of a Boolean function f:{0,1}^n -> {0,1} is the maximal number of neighbors a point ...
Darbā tiek pētīta neatrisināta problēma skaitļošanas sarežģītības teorijā – Būla funkciju jutīguma s...
The sensitivity conjecture of Nisan and Szegedy [CC\u2794] asks whether for any Boolean function f, ...
The central focus of computational complexity theory is to measure the "hardness" of computing diffe...
Sensitivity and block sensitivity are useful and well-studied measures of computational complexity, ...
Various combinatorial/algebraic parameters are used to quantify the complexity of a Boolean function...
The sensitivity of a Boolean function f is the maximum, over all inputs x, of the number of sensitiv...
The Sensitivity Conjecture, posed in 1994, states that the fundamental measures known as the sensiti...
Relations between the decision tree complexity and various other complexity measures of Boolean func...
AbstractWe discuss several complexity measures for Boolean functions: certificate complexity, sensit...
This thesis is concerned with the study of the noise sensitivity of boolean functions and its applic...
We provide new query complexity separations against sensitivity for total Boolean functions: a power...
AbstractThe parity decision tree model extends the decision tree model by allowing the computation o...
AbstractSensitivity is one of the simplest, and block sensitivity one of the most useful, invariants...
Nisan and Szegedy [Nisan and Szegedy, 1994] conjectured that block sensitivity is at most polynomial...
The sensitivity of a Boolean function f:{0,1}^n -> {0,1} is the maximal number of neighbors a point ...
Darbā tiek pētīta neatrisināta problēma skaitļošanas sarežģītības teorijā – Būla funkciju jutīguma s...
The sensitivity conjecture of Nisan and Szegedy [CC\u2794] asks whether for any Boolean function f, ...
The central focus of computational complexity theory is to measure the "hardness" of computing diffe...
Sensitivity and block sensitivity are useful and well-studied measures of computational complexity, ...
Various combinatorial/algebraic parameters are used to quantify the complexity of a Boolean function...
The sensitivity of a Boolean function f is the maximum, over all inputs x, of the number of sensitiv...
The Sensitivity Conjecture, posed in 1994, states that the fundamental measures known as the sensiti...
Relations between the decision tree complexity and various other complexity measures of Boolean func...
AbstractWe discuss several complexity measures for Boolean functions: certificate complexity, sensit...
This thesis is concerned with the study of the noise sensitivity of boolean functions and its applic...
We provide new query complexity separations against sensitivity for total Boolean functions: a power...
AbstractThe parity decision tree model extends the decision tree model by allowing the computation o...