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- W1984463721 abstract "The functional equations of Markov renewal programming with a scalar again rateg are v=max [q (f)−gT (f)+P(f) v;f ∈A] whereA is the Cartesian product set of allowed policies. When there functional equations are solved iteratively, convergent upper and lower bounds on the gain rateg were given by the author in J. Math. Anal. Appl. 34, 1971, 495–501. In this paper, an augmented iterative scheme is exhibited which supplies convergent upper and lower bounds on the value vector v as well." @default.
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- W1984463721 title "Iterative bounds on the relative value vector in undiscounted Markov renewal programming" @default.
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