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An applet may be used to easily display barcodes in Web pages . the Java Barcode Packages and may be used to add server-side barcode generator capability .Related: Generate Codabar .NET WinForms , Code 128 Generation VB.NET , Print Interleaved 2 of 5 .NET In the previous chapters we saw that in the analysis of many operational systems the concepts of a state of a system and a state transition are of basic importance For dynamic systems with a given probabilistic law of motion, the simple Markov model is often appropriate However, in many situations with uncertainty and dynamism, the state transitions can be controlled by taking a sequence of actions The Markov decision model is a versatile and powerful tool for analysing probabilistic sequential decision processes with an in nite planning horizon This model is an outgrowth of the Markov model and dynamic programming The latter concept, being developed by Bellman in the early 1950s, is a computational approach for analysing sequential decision processes with a nite planning horizon The basic ideas of dynamic programming are states, the principle of optimality and functional equations In fact dynamic programming is a recursion procedure for calculating optimal value functions from a functional equation This functional equation re ects the principle of optimality, stating that an optimal policy has the property that whatever the initial state and the initial decision, the remaining decisions must constitute an optimal policy with regard to the state resulting from the rst transition This principle is always valid when the number of states and the number of actions are nite At much the same time as Bellman (1957) popularized dynamic programming, Howard (1960) used basic principles from Markov chain theory and dynamic programming to develop a olicy-iteration algorithm for solving probabilistic sequential decision processes with an in nite planning horizon In the two decades following the pioneering work of Bellman and Howard, the theory of Markov decision processes has expanded at a fast rate and a powerful technology has developed However, in that period relatively little effort was put into applying the quite useful Markov decision model to practical problems. 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