The time complexity of the fast algorithm for generalized disjunctive decomposition of an rvalued function is studied.The considered algorithm to find the best decomposition is based on the analysis of multiple-terminal multiple-valued decision diagrams. It is shown that the time complexity for random rvalued functions depends on the such restriction as the number n1 of inputs in the first level circuit. In the case where the best partition of input variables is searched with restriction the time complexity is reduced in several times. The algorithm was simulated on a digital computer. The experimental results are in agreement with the theoretical predictions
Multivalued Decision Diagrams (MDDs) are efficient data structures widely used in several fields lik...
The paper deals with the problem of decomposition of logic functions and their implementation in a f...
We investigate the properties of a divide-and-conquer Block Decomposition Method (BDM), which extend...
ABSTRACT: The time complexity of the fast algorithm for generalized disjunctive decomposition of an ...
A design of multiple-valued circuits based on the multiple-valued programmable logic arrays (MV PLA’...
This paper proposes minimization algorithms for the memory size and the average path length (APL) of...
The genetic algorithm which determines the good functional decomposition of multiple-valued logic fu...
Multi-valued Decision Diagrams (MDDs) have been extensively studied in the last ten years. Recently,...
This paper proposes minimization algorithms for the memory size and the average path length (APL) of...
This paper proposes minimization algorithms for the memory size and the average path length (APL) of...
AbstractWe consider the size of the representation of Boolean functions by several classes of binary...
IEEE International Symposium on Multiple-Valued Logic, Santiago de Compostela, Spain, May 29-31, 199...
Les diagrammes de décision Multi-valués (MDD) sont des structures de données efficaces et largement ...
This paper presents algorithms that allow the realization of multi-valued functions as a multi-level...
We investigate the properties of a divide-and-conquer Block Decomposition Method (BDM), which extend...
Multivalued Decision Diagrams (MDDs) are efficient data structures widely used in several fields lik...
The paper deals with the problem of decomposition of logic functions and their implementation in a f...
We investigate the properties of a divide-and-conquer Block Decomposition Method (BDM), which extend...
ABSTRACT: The time complexity of the fast algorithm for generalized disjunctive decomposition of an ...
A design of multiple-valued circuits based on the multiple-valued programmable logic arrays (MV PLA’...
This paper proposes minimization algorithms for the memory size and the average path length (APL) of...
The genetic algorithm which determines the good functional decomposition of multiple-valued logic fu...
Multi-valued Decision Diagrams (MDDs) have been extensively studied in the last ten years. Recently,...
This paper proposes minimization algorithms for the memory size and the average path length (APL) of...
This paper proposes minimization algorithms for the memory size and the average path length (APL) of...
AbstractWe consider the size of the representation of Boolean functions by several classes of binary...
IEEE International Symposium on Multiple-Valued Logic, Santiago de Compostela, Spain, May 29-31, 199...
Les diagrammes de décision Multi-valués (MDD) sont des structures de données efficaces et largement ...
This paper presents algorithms that allow the realization of multi-valued functions as a multi-level...
We investigate the properties of a divide-and-conquer Block Decomposition Method (BDM), which extend...
Multivalued Decision Diagrams (MDDs) are efficient data structures widely used in several fields lik...
The paper deals with the problem of decomposition of logic functions and their implementation in a f...
We investigate the properties of a divide-and-conquer Block Decomposition Method (BDM), which extend...