Branch And Bound Strategies for Dynamic Programming

Cover Branch And Bound Strategies for Dynamic Programming
Branch And Bound Strategies for Dynamic Programming
Thomas L Morin
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Specifically, the high-speed storage requirement is on the order of (2M + 6)n where n = max ilF }= maximum list length and, although a very efficient dominance n n elimination scheme (which eliminates sorting) is employed in M6i4DP, the com- putational time tends to increase exponentially with "n -- in fact, problems in which n s 10, 000 might consume hours of computer time. Fortunately, we can employ the fathoming and relaxation results of S 3 (with minima replaced by maxima, upper bounds repl...aced by lower bounds, and vice versa) to great advantage in reducing the list lengths.
Let =^ be a lower bound on the value of an optimal solution x^'

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