A. One greedy strategy to solve the knapsack problem is to consider the items in order of decreasing values of where Vi and Si are the value and the size of item i. For each item, add it to the knapsack if it fits otherwise ignore it and move to the next item in the ordered list. Write a complete pseudocode for this strategy. The pseudocode should print the details of the solution (selected items, their total value and size). B. Show that this strategy does not necessarily yield optimal solutions. Take the example of exercise 1 and change the knapsack capacity to 15 (The value of the optimal solution is 54)..
A. One greedy strategy to solve the knapsack problem is to consider the items in order of decreasing values of where Vi and Si are the value and the size of item i. For each item, add it to the knapsack if it fits otherwise ignore it and move to the next item in the ordered list. Write a complete pseudocode for this strategy. The pseudocode should print the details of the solution (selected items, their total value and size). B. Show that this strategy does not necessarily yield optimal solutions. Take the example of exercise 1 and change the knapsack capacity to 15 (The value of the optimal solution is 54)..
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
Section: Chapter Questions
Problem 1PE
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A. One greedy strategy to solve the knapsack problem is to consider the items in order of decreasing values of where Vi and Si are the value and the size of item i. For each item, add it to the knapsack if it fits otherwise ignore it and move to the next item in the ordered list. Write a complete pseudocode for this strategy. The pseudocode should print the details of the solution (selected items, their total value and size).
B. Show that this strategy does not necessarily yield optimal solutions. Take the example of exercise 1 and change the knapsack capacity to 15 (The value of the optimal solution is 54)..
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