EN|RU Volume 18, No 3, 2011, P. 11-20 UDC 519.8 E. Kh. Gimadi, V. T. Dementiev Probabilistic analysis of decentralized version of îne generalization of the assignment problem Abstract: A decentralized version of the Semi-Assignment problem is considered, when elements of $m\times n$-matrix are nonnegative, $m=kn$, $k$ is natural number. It is supposed, that $nk$ elements of the matrix are chosen: $k$ elements in each column and one element in each row in order to maximize the total sum of chosen elements. An approximation algorithm with $O(mn)$ time complexity is presented. In the case of inputs, when elements are independent random values with common uniform distribution function, the estimations of a relative error and a fault probability of the algorithm are obtained, and conditions of asymptotic optimality are established. Bibliogr. 8. Keywords: decentralized transportation problem, NP-hardness, approximation algorithm, asymptotic optimality, Petrov’s theorem, uniform distribution. Gimadi Eduard Khirutdinovich 1,2 Dementev Vladimir Tikhonovich 1,2 1. S. L. Sobolev Institute of Mathematics, SB RAS, 4 Acad. Koptyug Ave., 630090 Novosibirsk, Russia 2. Novosibirsk State University, 2 Pirogov St., 630090 Novosibirsk, Russia e-mail: gimadi@math.nsc.ru, dementev@math.nsc.ru © Sobolev Institute of Mathematics, 2015