'Matrix chain multiplication contd' presentation slideshows

Dynamic programming

Dynamic programming. Dynamic programming. Dynamic Programming is an algorithm design technique for optimization problems : often minimizing or maximizing. Like divide and conquer, DP solves problems by combining solutions to subproblems.

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Dynamic Programming

Dynamic Programming. Lecture 8. Dynamic Programming History. Bellman. Pioneered the systematic study of dynamic programming in the 1950s. Etymology. Dynamic programming = planning over time. Secretary of Defense was hostile to mathematical research.

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Dynamic Programming Code

Dynamic Programming Code. Straightforward top-down rod cutting. CUT-ROD(p, n) If n == 0 Return 0 q = -1 For I = 1 to n q = max (q, p[ i ] + CUT-ROD(p, n- i )) Return q. Memoization in rod cutting. MEMOIZED-CUT-ROD(p, n) let r[0..n] be a new array f or I = 0 to n r[ i ] = -1

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Matrix-chain Multiplication

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