Consider the 0-1 knapsack problem with the Capacity C = 8 and 5 items as shown in the table. Findwhich items will fill the knapsack and have the maximum possible benefit. Use dynamic programmingsolution . Show all your workitem value weight15718322245035204

#include <bits/stdc++.h>using namespace std; int max(int a, int b) { return (a > b) ? a :…

Answered: Consider the 0-1 knapsack problem with…

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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S 11 Parameter Susceptible Population IlIl Population Zombie Population Removed Population Birth rate Naturally ill rate Intentionally ill rate Removed from illness rate Susceptible to zombie rate Removed Zombie rate I Symbol (Model) S I Z R a b Z C d R Value 1000 1 1 0 1 0.16 0.34 0.27 0.6 0.08 2. 1. Show the equilibrium and local stability of the system. Show the graph of the dynamics of the population when there is a lower susceptibility to zombie rate and with a higher ill rate. (Using Python) 3. Show the graph of the dynamics of the population when there is a higher susceptibility to zombie rate and with a lower ill rate. (Using Python)
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8. A school is creating class schedules for its students. The students submit their requested courses and then a program will be designed to find the optimal schedule for all students. The school has determined that finding the absolute best schedule cannot be solved in a reasonablo time. Instead they have decided to use a simpler algorithm that produces a good but non-optimal schedule in a more reasonable amount of time. Which principle does this decision best demonstrate? O A Unreasonable algorithms may sometimes also be undecidable O B. Heuristics can be used to solve some problems for which no reasonable algorithm exsts O C. efficiency Two algorithms that solve the same problem must also have the same O B. Approximate solutions are often identical to optimal solutions
Simple example in healthcare: Let consider 7 patients with different surgeries times: ST=[4h30, 4h, 3h, 3h, 2h30, 1h30, 1h] We have to decide how to assign patients to the operating rooms. First problem: let consider 3 operating rooms available with their corresponding capacities OR=[7h30, 4h, 4h]. We want to operate the maximum number of patients. Propose a model and solve it using CPLEX
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pls solve part a
A school is creating class schedules for its students. The students submit their requested courses and then a program will be designed to find the optimal schedule for all students. The school has determined that finding the absolute best schedule cannot be solved in a reasonable time. Instead they have decided to use a simpler algorithm that produces a good but non-optimal schedule in a more reasonable amount of time. Which principle does this decision best demonstrate?
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Consider the 0-1 knapsack problem with the Capacity C = 8 and 5 items as shown in the table. Find which items will fill the knapsack and have the maximum possible benefit. Use dynamic programming solution . Show all your work