Nontrivial meta-complexity theorems, proved once for a programming language as a whole, facilitate the presentation and analysis of particular algorithms. This paper gives a new meta-complexity theorem for bottom-up logic programs that is both more general and more accurate than previous such theorems. The new theorem applies to algorithms not handled by previous meta-complexity theorems, greatly facilitating their analysis
This dissertation presents some circuit complexity results and techniques. Circuit complexity is a b...
This paper investigates the relationship between the Logical Algorithms language (LA) of Ganzinger a...
This dissertation describes research toward automatic complexity analysis of logic programs and its ...
Nontrivial meta-complexity theorems, proved once for a programming language as a whole, facilitate t...
. This paper argues that for many algorithms, and static analysis algorithms in particular, bottom-...
Abstract. Bottom-up logic programming can be used to declaratively specify many algorithms in a succ...
This dissertation presents several results at the intersection ofcomplexity theory and algorithm des...
none1noReverse Complexity is a long term research program aiming at discovering the abstract, logica...
AbstractWe investigate the complexity of derivations from logic programs, and find it closely relate...
Computational complexity theory and algorithms are two major areas in theoretical computer science. ...
AbstractThis paper surveys the main results appearing in the literature on the computational complex...
Over the past few decades, non-monotonic reasoning has developed to be one of the most important top...
Algorithmic meta theorems are algorithmic results that apply to whole families of combinatorial prob...
Complexity lower bounds like P != NP assert impossibility results for all possible programs of some ...
AbstractProblems related to the complexity and to the decidability of several languages weaker than ...
This dissertation presents some circuit complexity results and techniques. Circuit complexity is a b...
This paper investigates the relationship between the Logical Algorithms language (LA) of Ganzinger a...
This dissertation describes research toward automatic complexity analysis of logic programs and its ...
Nontrivial meta-complexity theorems, proved once for a programming language as a whole, facilitate t...
. This paper argues that for many algorithms, and static analysis algorithms in particular, bottom-...
Abstract. Bottom-up logic programming can be used to declaratively specify many algorithms in a succ...
This dissertation presents several results at the intersection ofcomplexity theory and algorithm des...
none1noReverse Complexity is a long term research program aiming at discovering the abstract, logica...
AbstractWe investigate the complexity of derivations from logic programs, and find it closely relate...
Computational complexity theory and algorithms are two major areas in theoretical computer science. ...
AbstractThis paper surveys the main results appearing in the literature on the computational complex...
Over the past few decades, non-monotonic reasoning has developed to be one of the most important top...
Algorithmic meta theorems are algorithmic results that apply to whole families of combinatorial prob...
Complexity lower bounds like P != NP assert impossibility results for all possible programs of some ...
AbstractProblems related to the complexity and to the decidability of several languages weaker than ...
This dissertation presents some circuit complexity results and techniques. Circuit complexity is a b...
This paper investigates the relationship between the Logical Algorithms language (LA) of Ganzinger a...
This dissertation describes research toward automatic complexity analysis of logic programs and its ...