Dynamic Programming

Abstract

The most challenging algorithmic problems involve optimization, where we seek to find a solution that maximizes or minimizes some function. Traveling salesman is a classic optimization problem, where we seek the tour visiting all vertices of a graph at minimum total cost. But as shown in Chapter 1, it is easy to propose “algorithms” solving TSP that generate reasonable-looking solutions but did not always produce the minimum cost tour.

Keywords

Dynamic Programming Greedy Algorithm Dynamic Programming Algorithm Edit Distance Recursive Call 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag London Limited 2012

Authors and Affiliations

  1. 1.Department of Computer ScienceState University of New York at Stony BrookNew YorkUSA

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