On the forward algorithm for stopping problems on continuous-time Markov chains

JOURNAL OF APPLIED PROBABILITY(2021)

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摘要
We revisit the forward algorithm, developed by Irle, to characterize both the value function and the stopping set for a large class of optimal stopping problems on continuous-time Markov chains. Our objective is to renew interest in this constructive method by showing its usefulness in solving some constrained optimal stopping problems that have emerged recently.
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关键词
Forward algorithm, constrained optimal stopping, Markov chains
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