Add to ORKGNontrivial 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 article surveys various complexity and expressiveness results on different forms of logic progr...
This paper investigates the relationship between the Logical Algorithms language (LA) of Ganzinger a...
This thesis focuses on problems which themselves encode questions about circuits or algorithms, also...
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...
Algorithmic meta theorems are algorithmic results that apply to whole families of combinatorial prob...
This dissertation presents several results at the intersection ofcomplexity theory and algorithm des...
This paper investigates the relationship between the Logical Algorithms language (LA) of Ganzinger a...
Metaheuristics are a family of algorithmic techniques that are useful for solving difficult problems...
AbstractProblems related to the complexity and to the decidability of several languages weaker than ...
Computational complexity theory and algorithms are two major areas in theoretical computer science. ...
Problems related to the complexity and to the decidability of several languages weaker than Prolog ...
When machine learning programs from data, we ideally want to learn efficient rather than inefficient...
This dissertation presents some circuit complexity results and techniques. Circuit complexity is a b...
This article surveys various complexity and expressiveness results on different forms of logic progr...
This paper investigates the relationship between the Logical Algorithms language (LA) of Ganzinger a...
This thesis focuses on problems which themselves encode questions about circuits or algorithms, also...
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...
Algorithmic meta theorems are algorithmic results that apply to whole families of combinatorial prob...
This dissertation presents several results at the intersection ofcomplexity theory and algorithm des...
This paper investigates the relationship between the Logical Algorithms language (LA) of Ganzinger a...
Metaheuristics are a family of algorithmic techniques that are useful for solving difficult problems...
AbstractProblems related to the complexity and to the decidability of several languages weaker than ...
Computational complexity theory and algorithms are two major areas in theoretical computer science. ...
Problems related to the complexity and to the decidability of several languages weaker than Prolog ...
When machine learning programs from data, we ideally want to learn efficient rather than inefficient...
This dissertation presents some circuit complexity results and techniques. Circuit complexity is a b...
This article surveys various complexity and expressiveness results on different forms of logic progr...
This paper investigates the relationship between the Logical Algorithms language (LA) of Ganzinger a...
This thesis focuses on problems which themselves encode questions about circuits or algorithms, also...