Matrix chain multiplication: We have six matrices, A1, A2, A3, A4, A5 and A6. The dimensions are respectively (10,30), (30,60), (60,10), (10,30), (30,40) and (40,10). A1.6 A1 A2A3A4A5A6. Using dynamic programming, we can find the best way (that minimize the number of scalar multiplications) to compute the product A1.6. Let m[i, j] denote the minimum number of scalar multiplications to compute A;A¡+1 ... Aj. Compute m[1, 4] and fully parenthesize the matrices A1 A2A3 A4 so that the optimal solutions are obtained.

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
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Matrix chain multiplication: We have six matrices, A1, A2, A3, A4, A5 and A6. The
dimensions are respectively (10,30), (30,60), (60,10), (10,30), (30,40) and (40,10). A1.6 =
A1 A2A3 A4 A5A6. Using dynamic programming, we can find the best way (that minimize
the number of scalar multiplications) to compute the product A1..6. Let m[i, j] denote the
minimum number of scalar multiplications to compute A;A;+1 ...A;. Compute m[1,4] and
fully parenthesize the matrices A1 A2 A3 A4 so that the optimal solutions are obtained.
Transcribed Image Text:Matrix chain multiplication: We have six matrices, A1, A2, A3, A4, A5 and A6. The dimensions are respectively (10,30), (30,60), (60,10), (10,30), (30,40) and (40,10). A1.6 = A1 A2A3 A4 A5A6. Using dynamic programming, we can find the best way (that minimize the number of scalar multiplications) to compute the product A1..6. Let m[i, j] denote the minimum number of scalar multiplications to compute A;A;+1 ...A;. Compute m[1,4] and fully parenthesize the matrices A1 A2 A3 A4 so that the optimal solutions are obtained.
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