A New Approach to Multi-Stage Stochastic Linear Programs
CALIFORNIA UNIV BERKELEY OPERATIONS RESEARCH CENTER
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This paper considers an infinite stage linear decision problem with random coefficients. It is assumed that the randomness can be defined by a finite Markov chain. Under certain assumptions the author is able to calculate an upper bound to an optimal value of the decision problem and to use that bound to determine a useful initial decision.
- Operations Research