Titlebook: Stochastic Project Networks; Temporal Analysis, S Klaus Neumann Book 1990 Springer-Verlag Berlin Heidelberg 1990 Graph.Markov chain.Markov

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Cost Minimization for STEOR and EOR Networks, in each STEOR network from a covering of N that contains all nodes from .(j) and all arcs joining those nodes (cf. (3.5.10)), the cost minimization problem for admissible EOR networks of Markov degree d >1 can be solved in the same manner as for STEOR networks.

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0075-8442 mited resources under critical time constraints. To aid in solving these problems, network-based planning methods have been developed that now exist in a wide variety of forms, cf. Elmaghraby (1977) and Moder et al. (1983). The so-called "classical" project networks, which are used in the network te

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Book 1990urces under critical time constraints. To aid in solving these problems, network-based planning methods have been developed that now exist in a wide variety of forms, cf. Elmaghraby (1977) and Moder et al. (1983). The so-called "classical" project networks, which are used in the network techniques C

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STEOR Networks and EOR Networks,arkov renewal processes can be associated with those networks. In particular, STEOR networks satisfy the one-sink condition. Exploiting some results from the theory of Markov renewal processes, an efficient method for computing the activation functions Y. can be found.

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Reducible GERT Networks,entrance, however, cause some difficulties. Therefore, it suggests itself to investigate GERT networks all of whose AND nodes and IOR nodes lie inside special subnetworks which can be reduced to structures containing only STEOR nodes. Obviously, the reduction of those subnetworks to “STEOR subnetwor

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