(algorithmic technique)
Definition: Solve an optimization problem by caching subproblem solutions (memoization) rather than recomputing them.
Aggregate parent (I am a part of or used in ...)
Smith-Waterman algorithm Solves these problems: matrix-chain multiplication problem, longest common substring, longest common subsequence.
See also greedy algorithm, principle of optimality.
Note: From Algorithms and Theory of Computation Handbook, page 1-26, Copyright © 1999 by CRC Press LLC. Appearing in the Dictionary of Computer Science, Engineering and Technology, Copyright © 2000 CRC Press LLC.
Author: CRC-A
If you have suggestions, corrections, or comments, please get in touch with Paul Black.
Entry modified 23 March 2015.
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Cite this as:
Algorithms and Theory of Computation Handbook, CRC Press LLC, 1999, "dynamic programming", in
Dictionary of Algorithms and Data Structures [online], Vreda Pieterse and Paul E. Black, eds. 23 March 2015. (accessed TODAY)
Available from: http://www.nist.gov/dads/HTML/dynamicprog.html