We briefly describe the state of the art concerning the complexity of discrete functions. Computational models and analytical techniques are summarized. After describing the formal organization of the Dagstuhl seminar "Complexity of Boolean Functions" held in March 2006, we introduce the different topics that have been discussed there and mention some of the major achievements. The summary closes with an outlook on the development of discrete computational complexity in the future
This report surveys some key results on the learning of Boolean functions in a probabilistic model t...
This report surveys some key results on the learning of Boolean functions in a probabilistic model t...
Abstract. Multiplicative complexity is a complexity measure defined as the minimum number of AND gat...
We briefly describe the state of the art concerning the complexity of discrete functions. Computati...
From 12.03.06 to 17.03.06, the Dagstuhl Seminar 06111 ``Complexity of Boolean Functions\u27\u27 was ...
Estimating the computational complexity of discrete problems constitutes one of the central and clas...
133 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1987.Traditional theories measure ...
This report documents the program and the outcomes of Dagstuhl Seminar 11121 ``Computational Complex...
AbstractWe define two measures, γ and c, of complexity for Boolean functions. These measures are rel...
This report documents the program and the outcomes of Dagstuhl Seminar 14121 "Computational Complexi...
This report documents the program and the outcomes of Dagstuhl Seminar 17121 "Computational Complexi...
Department of AlgebraKatedra algebryFaculty of Mathematics and PhysicsMatematicko-fyzikální fakult
Boolean function manipulation is an important component of computer science. This thesis presents r...
The following report archives the presentations and activities of the March 2019 Dagstuhl Seminar 19...
From the 14th of September to the 19th of September, the Dagstuhl Seminar 08381 ``Computational Comp...
This report surveys some key results on the learning of Boolean functions in a probabilistic model t...
This report surveys some key results on the learning of Boolean functions in a probabilistic model t...
Abstract. Multiplicative complexity is a complexity measure defined as the minimum number of AND gat...
We briefly describe the state of the art concerning the complexity of discrete functions. Computati...
From 12.03.06 to 17.03.06, the Dagstuhl Seminar 06111 ``Complexity of Boolean Functions\u27\u27 was ...
Estimating the computational complexity of discrete problems constitutes one of the central and clas...
133 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1987.Traditional theories measure ...
This report documents the program and the outcomes of Dagstuhl Seminar 11121 ``Computational Complex...
AbstractWe define two measures, γ and c, of complexity for Boolean functions. These measures are rel...
This report documents the program and the outcomes of Dagstuhl Seminar 14121 "Computational Complexi...
This report documents the program and the outcomes of Dagstuhl Seminar 17121 "Computational Complexi...
Department of AlgebraKatedra algebryFaculty of Mathematics and PhysicsMatematicko-fyzikální fakult
Boolean function manipulation is an important component of computer science. This thesis presents r...
The following report archives the presentations and activities of the March 2019 Dagstuhl Seminar 19...
From the 14th of September to the 19th of September, the Dagstuhl Seminar 08381 ``Computational Comp...
This report surveys some key results on the learning of Boolean functions in a probabilistic model t...
This report surveys some key results on the learning of Boolean functions in a probabilistic model t...
Abstract. Multiplicative complexity is a complexity measure defined as the minimum number of AND gat...