AbstractThe relationship between counting functions and logical expressibility is explored. The most well studied class of counting functions is #P, which consists of the functions counting the accepting computation paths of a nondeterministic polynomial-time Turing machine. For a logicL, #Lis the class of functions on finite structures counting the tuples (T, ) satisfying a given formulaψ(T, ) inL. Saluja, Subrahmanyam, and Thakur showed that on classes of ordered structures #FO=#P (where FO denotes first-order logic) and that every function in #Σ1has a fully polynomial randomized approximation scheme. We give a probabilistic criterion for membership in #Σ1. A consequence is that functions counting the number of cliques, the number of Hami...
We study descriptive complexity of counting complexity classes in the range from $\#$P to $\#\cdot$N...
AbstractWe consider the relation between the relativized polynomial time hierarchy and relativizatio...
We study descriptive complexity of counting complexity classes in the range from #P to #*NP. A corol...
AbstractThe relationship between counting functions and logical expressibility is explored. The most...
AbstractWe give a logic-based framework for defining counting problems and show that it exactly capt...
We introduce a new framework for a descriptive complexity approach to arithmetic computations. We de...
We introduce a new framework for a descriptive complexity approach to arithmetic computations. We de...
We present quantitative logics with two-step semantics based on the framework of quantitative logics...
AbstractWe investigate the expressive power of various extensions of first-order, inductive, and inf...
AbstractBased on Valiant's class #P of all functions counting the number of accepting computations o...
This is the author's accepted versionFinal version available from Elsevier via the DOI in this recor...
AbstractWe define the counting classes #NC1,GapNC1,PNC1, andC=NC1. We prove that boolean circuits, a...
It is known that first-order logic with some counting extensions can be efficiently evaluated on gra...
AbstractWe show that, for every Boolean function f(x1, …, xn) in the class AC0 and an arbitrary cons...
We study descriptive complexity of counting complexity classes in the range from $\#$P to $\#\cdot$N...
We study descriptive complexity of counting complexity classes in the range from $\#$P to $\#\cdot$N...
AbstractWe consider the relation between the relativized polynomial time hierarchy and relativizatio...
We study descriptive complexity of counting complexity classes in the range from #P to #*NP. A corol...
AbstractThe relationship between counting functions and logical expressibility is explored. The most...
AbstractWe give a logic-based framework for defining counting problems and show that it exactly capt...
We introduce a new framework for a descriptive complexity approach to arithmetic computations. We de...
We introduce a new framework for a descriptive complexity approach to arithmetic computations. We de...
We present quantitative logics with two-step semantics based on the framework of quantitative logics...
AbstractWe investigate the expressive power of various extensions of first-order, inductive, and inf...
AbstractBased on Valiant's class #P of all functions counting the number of accepting computations o...
This is the author's accepted versionFinal version available from Elsevier via the DOI in this recor...
AbstractWe define the counting classes #NC1,GapNC1,PNC1, andC=NC1. We prove that boolean circuits, a...
It is known that first-order logic with some counting extensions can be efficiently evaluated on gra...
AbstractWe show that, for every Boolean function f(x1, …, xn) in the class AC0 and an arbitrary cons...
We study descriptive complexity of counting complexity classes in the range from $\#$P to $\#\cdot$N...
We study descriptive complexity of counting complexity classes in the range from $\#$P to $\#\cdot$N...
AbstractWe consider the relation between the relativized polynomial time hierarchy and relativizatio...
We study descriptive complexity of counting complexity classes in the range from #P to #*NP. A corol...