Dynamic Programming: 0/1 Knapsack and Matrix Chain Multiplication
Curriculum and historical examination lineage for Dynamic Programming: 0/1 Knapsack and Matrix Chain Multiplication under Unit 3 (Greedy Algorithms and Dynamic Programming) of Design and Analysis of Algorithms (21CSC204J) at SRMIST.
Historical appearance distribution across SRMIST Formative Tests (CT1, CT2) and University End Semester examinations.
Factual marks weightage of questions asked on this topic in historical examinations.
Representative historical questions extracted directly from SRMIST examination papers.
Which of the following design techniques uses memoization? [1] A. Greedy B. Dynamic programming C. Divide and conquer D. Brute force
Solve the following instance of 0/1 knapsack problem given the knapsack capacity as W = 5 using dynamic programming. Items Weight Value 1 4 10 2 3 20 3 2 15 4 5 25 [8]
Consider a matrix multiplication chain F1 F2 F3 F4 F5, where matrices F1, F2, F3, F4, and F5 are of dimensions $2 \times 25$, $25 \times 3, 16 \times 1$, and $1 \times 1000$,...
If we have four matrices A_1, A_2, A_3 and A_4; in how many ways can they be parenthesized for multiplication? Mention them. If the dimensions for the matrices A_1, A_2, A_3 and...
Examinations where questions for Dynamic Programming: 0/1 Knapsack and Matrix Chain Multiplication have appeared.
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