
Database System Concepts
7th Edition
ISBN: 9780078022159
Author: Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher: McGraw-Hill Education
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The branching part of the branch and bound
algorithm that Solver uses to solve integer optimization models means that the algorithm[a] creates subsets of solutions through which to search
[b] searches through only a limited set of feasible integer solutions[c] identifies an incumbent solution which is optimal
[d] uses a decision tree to find the optimal solution2. The LP relaxation of an integer
programming (IP) problem is typically easy to solve and provides a bound for the IP model.[a] True [b] False
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- Insufficient Overlapping Subproblems and the Principle of Optimality (Optimal Substructure) are both acceptable queries for dynamic programming. Consider All-Pairs Shortest Paths as an illustration of the difficulty in achieving these two requirements.arrow_forward8. 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 solutionsarrow_forward4. Describe a dynamic programming approach for a modified knapsack problem in which up to 3 copies of each of the n items can be selectedarrow_forward
- Both the Principle of Optimality (Optimal Substructure) and Insufficient Overlapping Subproblems are valid inputs for dynamic programming. To see how difficult it is to meet these two criteria, consider the case of All-Pairs Shortest Paths.arrow_forward4. Graph Theory and Approximation Algorithms- (a) Find the maximum flow possible from vertex s to vertex t in the given graph. Show all your steps Given an example to show why reverse flow edges should be included to get the optimal flow 12 vi V4 20 16 8 4 9. 14 V3 v2 15 (b) Given below are the distances between A, B, C, D, E, F. You have to start from A, visit all the vertices and return back to the A. Find the optimal path using the approximation algorithm discussed in class. Show all your steps. () | A BC D E F A0 4 4 3 5 5 в| 4 0 2 4 C 4 2 D 3 4 E 5 3 6 F 5 3 4 3 3 6. 4 5 4 5 4 5 5 0 inarrow_forwardIn mathematical optimization, how do primal-dual algorithms utilize the concept of duality to find solutions?arrow_forward
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