This paper is motivated by the problem of proving lower bounds on the formula size of boolean functions, which leads to lower bounds on circuit depth. We know that formula size is bounded from below by all formal complexity measures. Thus, we study formula size by investigating AND-measures, which are weakened forms of formal complexity measures. The collection of all AND-measures is a pointed polyhedral cone; we study the extreme rays of this cone in order to better understand AND-measures. From the extreme rays, we attempt to discover useful properties of AND-measures that may help in proving new lower bounds on formula size and circuit depth. This paper focuses on describing some of the properties of AND-measures, especially tho...
25 pagesWe introduce a refinement of the usual Ehrenfeucht-Fra\"{\i}ss\'e game. The new game will he...
textWe study the relationship between size and depth for Boolean circuits. Over four decades, very ...
Körner [7] defined the notion of graph-entropy. He used it in [8] to simplify the proof of the Fredm...
AbstractTwo fundamental complexity measures for a Boolean function f are its circuit depth d(f) and ...
Two fundamental complexity measures for a Boolean function f are its circuit depth d(f) and its circ...
Computational complexity theory aims to understand what problems can be efficiently solved by comput...
The aim of this thesis is to study methods of constructing lower bounds on Boolean formula size. We ...
Most of the known lower bounds for binary Boolean circuits with unrestricted depth are proved by the...
Threshold weight, margin complexity, and Majority-of-Threshold circuit size are basic complexity mea...
Computational complexity theory and algorithms are two major areas in theoretical computer science. ...
AbstractThe layout area of Boolean circuits is considered as a complexity measure of Boolean functio...
An important problem in theoretical computer science is to develop methods for estimating the comple...
A variety of theorems bounding the formula size of rather simple Boolean functions are described her...
We prove a hierarchy theorem for the representation of monotone Boolean functions by monotone Boolea...
Using a notion of real communication complexity recently introduced by J. Krajcek, we prove a lower ...
25 pagesWe introduce a refinement of the usual Ehrenfeucht-Fra\"{\i}ss\'e game. The new game will he...
textWe study the relationship between size and depth for Boolean circuits. Over four decades, very ...
Körner [7] defined the notion of graph-entropy. He used it in [8] to simplify the proof of the Fredm...
AbstractTwo fundamental complexity measures for a Boolean function f are its circuit depth d(f) and ...
Two fundamental complexity measures for a Boolean function f are its circuit depth d(f) and its circ...
Computational complexity theory aims to understand what problems can be efficiently solved by comput...
The aim of this thesis is to study methods of constructing lower bounds on Boolean formula size. We ...
Most of the known lower bounds for binary Boolean circuits with unrestricted depth are proved by the...
Threshold weight, margin complexity, and Majority-of-Threshold circuit size are basic complexity mea...
Computational complexity theory and algorithms are two major areas in theoretical computer science. ...
AbstractThe layout area of Boolean circuits is considered as a complexity measure of Boolean functio...
An important problem in theoretical computer science is to develop methods for estimating the comple...
A variety of theorems bounding the formula size of rather simple Boolean functions are described her...
We prove a hierarchy theorem for the representation of monotone Boolean functions by monotone Boolea...
Using a notion of real communication complexity recently introduced by J. Krajcek, we prove a lower ...
25 pagesWe introduce a refinement of the usual Ehrenfeucht-Fra\"{\i}ss\'e game. The new game will he...
textWe study the relationship between size and depth for Boolean circuits. Over four decades, very ...
Körner [7] defined the notion of graph-entropy. He used it in [8] to simplify the proof of the Fredm...