Discrete Stochastic Processes, Numerical Methods for Markov Chains and Polynomial Time Algorithms

Author(s):  
Dmitrii Lozovanu ◽  
Stefan Pickl
1978 ◽  
Vol 41 (1-2) ◽  
pp. 35-51
Author(s):  
Steven M. Melimis

Author(s):  
Jorma Jormakka ◽  
Sourangshu Ghosh

The paper describes a method of solving some stochastic processes using generating functions. A general theorem of generating functions of a particular type is derived. A generating function of this type is applied to a stochastic process yielding polynomial time algorithms for certain partitions. The method is generalized to a stochastic process describing a rather general linear transform. Finally, the main idea of the method is used in deriving a theoretical polynomial time algorithm to the knapsack problem.


2012 ◽  
Vol 2012 ◽  
pp. 1-19 ◽  
Author(s):  
F. A. Kuipers

Network survivability—the ability to maintain operation when one or a few network components fail—is indispensable for present-day networks. In this paper, we characterize three main components in establishing network survivability for an existing network, namely, (1) determining network connectivity, (2) augmenting the network, and (3) finding disjoint paths. We present a concise overview of network survivability algorithms, where we focus on presenting a few polynomial-time algorithms that could be implemented by practitioners and give references to more involved algorithms.


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