| Document Date: 2014-01-08 09:09:07
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City Washington / BRISTOL / / Company Wilson / MIT Press / McGraw-Hill / RAND Corporation / / Country United Kingdom / / / Facility University of Bristol Bristol / / IndustryTerm exponential-time recursive algorithm / recursive algorithm / inefficient algorithm / greedy algorithms / naïve algorithm / iterative algorithm / bottom-up algorithm / combine solutions / divide-and-conquer algorithm / natural algorithm / algorithm computing / greedy algorithm / naïve recursive algorithm / dynamic programming algorithm / dynamic programming algorithms / above algorithm / individual algorithm / / Organization University of Illinois / Ashley Montanaro ashley@cs.bris.ac.uk Department of Computer Science / MIT / University of Bristol Bristol / / Person Richard E. Bellman / Jeff Erickson / / Position Secretary of Defense / Congressman / / ProgrammingLanguage L / R / / Technology natural algorithm / This algorithm / above algorithm / bioinformatics / following algorithm / exponential-time recursive algorithm / naïve recursive algorithm / dynamic programming algorithms / following bottom-up algorithm / bottom-up algorithm / 0 This naïve algorithm / dynamic programming algorithm / improved algorithm / iterative algorithm / individual algorithm / recursive algorithm / divide-and-conquer algorithm / / URL http /
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Introduction COMS21103 Dynamic programming is a way of finding efficient algorithms for problems which can be broken down into simpler, overlapping subproblems.