About set-theoretic properties of one-way functions

We investigate the problem of cryptanalysis as a problem belonging to the class NP. A class of problems UF is defined for which the time constructing any feasible solution is polynomial. The properties of the problems of NP, which may be one-way functions, are established.Comment: 5 page

Experimental Algorithm for the Maximum Independent Set Problem

We develop an experimental algorithm for the exact solving of the maximum independent set problem. The algorithm consecutively finds the maximal independent sets of vertices in an arbitrary undirected graph such that the next such set contains more elements than the preceding one. For this purpose, we use a technique, developed by Ford and Fulkerson for the finite partially ordered sets, in particular, their method for partition of a poset into the minimum number of chains with finding the maximum antichain. In the process of solving, a special digraph is constructed, and a conjecture is formulated concerning properties of such digraph. This allows to offer of the solution algorithm. Its theoretical estimation of running time equals to is O(n 8), where n is the number of graph vertices. The offered algorithm was tested by a program on random graphs. The testing the confirms correctness of the algorithm. MSC 2000: 05C85, 68Q17. KEYWORDS: the maximum independent set, a clique, NP-hard, NPcomplete, the class NP, a polynomial-time algorithm, the partially ordered set.

Experimental Algorithm for the Maximum Independent Set Problem

We develop an experimental algorithm of exact solving for the maximum independent set problem. The algorithm consecutively finds the maximal independent sets of vertices in an arbitrary undirected graph such that the next such set contains more elements than preceding one. For this purpose, we use a technique, developed by Ford and Fulkerson for the finite partially ordered sets, in particular, their method for partition of a poset into the minimum number of chains with finding the maximum antichain. In the process of solving, a special digraph is constructed, and a conjecture is formulated concerning properties of such digraph. This allows to offer of the solution algorithm. Its theoretical estimation of running time equals to O(n 8), where n is the number of graph vertices. The offered algorithm was tested by means of an operating program on random graphs. The testing confirms correctness of the algorithm. MSC 2000: 05C85, 68Q17. KEYWORDS: the maximum independent set, a clique, NP-hard, NPcomplete, the class NP, a polynomial-time algorithm, the partially ordered set.