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Algorithm of 0/1 - Knapsack problem, [dynamic programming and set method] ===================================================================== Object(s):   |   1   |   2   |   3   |   4   |   5   |   6   |   7   |   8   | Benefit(s):  |   3   |   4   |   5   |   6   |   5   |  *1  |   8   |  *2  | (unit) Weight(s):  |   2   |   4   |   6   |   7   |   9   |  10  |  12  |  13  | (unit) *1 = Last digit of your Stud_ID number *2 = Summation of first and last digit of your Stud_ID number Capacity of the storage or bag (C) = 30 (unit) Carry objects by using  the given storage or bag (C) and find out the maximum benefit(s) with these limitations by 'Algorithm of 0/1 - Knapsack problem'.

Algorithm of 0/1 - Knapsack problem, [dynamic programming and set method] ===================================================================== Object(s):   |   1   |   2   |   3   |   4   |   5   |   6   |   7   |   8   | Benefit(s):  |   3   |   4   |   5   |   6   |   5   |  *1  |   8   |  *2  | (unit) Weight(s):  |   2   |   4   |   6   |   7   |   9   |  10  |  12  |  13  | (unit) *1 = Last digit of your Stud_ID number *2 = Summation of first and last digit of your Stud_ID number Capacity of the storage or bag (C) = 30 (unit) Carry objects by using  the given storage or bag (C) and find out the maximum benefit(s) with these limitations by 'Algorithm of 0/1 - Knapsack problem'.

Computer Networking: A Top-Down Approach (7th Edition)
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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Algorithm of 0/1 - Knapsack problem, [dynamic programming and set method]

=====================================================================



Object(s):   |   1   |   2   |   3   |   4   |   5   |   6   |   7   |   8   |
Benefit(s):  |   3   |   4   |   5   |   6   |   5   |  *1  |   8   |  *2  | (unit)

Weight(s):  |   2   |   4   |   6   |   7   |   9   |  10  |  12  |  13  | (unit)


*1 = Last digit of your Stud_ID number

*2 = Summation of first and last digit of your Stud_ID number


Capacity of the storage or bag (C) = 30 (unit)


Carry objects by using  the given storage or bag (C) and find out the maximum benefit(s) with these limitations by 'Algorithm of 0/1 - Knapsack problem'.

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