ABSTRACT: The time complexity of the fast algorithm for generalized disjunctive decomposition of an r-valued 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 r-valued 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. KEY WORDS: Decomposition algorithm, r-valued functions, generalized d...
Mathematical programming has been proposed in the literature as an alternative technique to simulati...
208 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1981.The research presented in thi...
This paper proposes minimization algorithms for the memory size and the average path length (APL) of...
The time complexity of the fast algorithm for generalized disjunctive decomposition of an rvalued fu...
A design of multiple-valued circuits based on the multiple-valued programmable logic arrays (MV PLA’...
We investigate the properties of a divide-and-conquer Block Decomposition Method (BDM), which extend...
We investigate the properties of a divide-and-conquer Block Decomposition Method (BDM), which extend...
AbstractWe obtain the first non-trivial time–space tradeoff lower bound for functions f:{0, 1}n→{0, ...
We study the problem of computing the optimal value function for a Markov decision process with posi...
Functional decomposition is a process of splitting a complex circuit into smaller sub-circuits. Ther...
AbstractRecursive analysis, the theory of computation of functions on real numbers, has been studied...
Functional decomposition is a process of splitting a complex circuit into smaller sub-circuits. Ther...
Mathematical programming has been proposed in the literature as an alternative technique to simulati...
Abstract. An optimal (n2) lower bound is shown for the time-space product of any R-way branching pro...
Mathematical programming has been proposed in the literature as an alternative technique to simulati...
Mathematical programming has been proposed in the literature as an alternative technique to simulati...
208 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1981.The research presented in thi...
This paper proposes minimization algorithms for the memory size and the average path length (APL) of...
The time complexity of the fast algorithm for generalized disjunctive decomposition of an rvalued fu...
A design of multiple-valued circuits based on the multiple-valued programmable logic arrays (MV PLA’...
We investigate the properties of a divide-and-conquer Block Decomposition Method (BDM), which extend...
We investigate the properties of a divide-and-conquer Block Decomposition Method (BDM), which extend...
AbstractWe obtain the first non-trivial time–space tradeoff lower bound for functions f:{0, 1}n→{0, ...
We study the problem of computing the optimal value function for a Markov decision process with posi...
Functional decomposition is a process of splitting a complex circuit into smaller sub-circuits. Ther...
AbstractRecursive analysis, the theory of computation of functions on real numbers, has been studied...
Functional decomposition is a process of splitting a complex circuit into smaller sub-circuits. Ther...
Mathematical programming has been proposed in the literature as an alternative technique to simulati...
Abstract. An optimal (n2) lower bound is shown for the time-space product of any R-way branching pro...
Mathematical programming has been proposed in the literature as an alternative technique to simulati...
Mathematical programming has been proposed in the literature as an alternative technique to simulati...
208 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1981.The research presented in thi...
This paper proposes minimization algorithms for the memory size and the average path length (APL) of...