AbstractWe investigate here NP optimization problems from a logical definability standpoint. We show that the class of optimization problems whose optima are definable using first-order formulae coincides with the class of polynomially bounded NP optimization problems on finite structures. After this, we analyze the relative expressive power of various classes of optimization problems that arise in this framework. Some of our results show that logical definability has different implications for NP maximization problems than it has for NP minimization problems, in terms of both expressive power and approximation properties
Recent developments in the theory of computational complexity as applied to combinatorial problems h...
Using polynomial time self-reducibility structures, we characterize certain "helping" notions, show ...
We extend the recent approach of Papadimitrou and Yannakakis that relates the approximation properti...
AbstractWe investigate here NP optimization problems from a logical definability standpoint. We show...
: We investigate here NP optimization problems from a logical definability standpoint. We show that ...
AbstractIn this paper we study NP optimization problems from the perspective of descriptive complexi...
An optimization problem A is defined by: (1) a set {\cal I}_A of input instances; we assume that thi...
The characterization of important complexity classes by logical descriptions has been an important a...
AbstractWe investigate the relationship between logical expressibility of NP optimization problems a...
We investigate the relationship between logical expressibility of NP optimization problems and thei...
We shape a formal framework for distinguishing the behaviour of constructive and non-constructive po...
We study computational complexity theory and define a class of optimization problems called OptP (O...
We consider the hardness of approximation of optimization problems from the point of view of definab...
AbstractThis paper presents the main results obtained in the field of approximation algorithms in a ...
AbstractWe define a natural variant of NP, MAX NP, and also a subclass called MAX SNP. These are cla...
Recent developments in the theory of computational complexity as applied to combinatorial problems h...
Using polynomial time self-reducibility structures, we characterize certain "helping" notions, show ...
We extend the recent approach of Papadimitrou and Yannakakis that relates the approximation properti...
AbstractWe investigate here NP optimization problems from a logical definability standpoint. We show...
: We investigate here NP optimization problems from a logical definability standpoint. We show that ...
AbstractIn this paper we study NP optimization problems from the perspective of descriptive complexi...
An optimization problem A is defined by: (1) a set {\cal I}_A of input instances; we assume that thi...
The characterization of important complexity classes by logical descriptions has been an important a...
AbstractWe investigate the relationship between logical expressibility of NP optimization problems a...
We investigate the relationship between logical expressibility of NP optimization problems and thei...
We shape a formal framework for distinguishing the behaviour of constructive and non-constructive po...
We study computational complexity theory and define a class of optimization problems called OptP (O...
We consider the hardness of approximation of optimization problems from the point of view of definab...
AbstractThis paper presents the main results obtained in the field of approximation algorithms in a ...
AbstractWe define a natural variant of NP, MAX NP, and also a subclass called MAX SNP. These are cla...
Recent developments in the theory of computational complexity as applied to combinatorial problems h...
Using polynomial time self-reducibility structures, we characterize certain "helping" notions, show ...
We extend the recent approach of Papadimitrou and Yannakakis that relates the approximation properti...