Algorithms!! Computer Science Solve the following problem using the Brute-Force technique and write your theoretical analysis for the brute force case. - Problem StatementDuring tough times like these, investment becomes more uncertain with more dangers. To solve it, we might try to train a model to decide whento buy or sell. Therefore, to provide it with correct data, we plan to design an algorithm that answers:• what is the perfect moment to buy and when to sell to maximize your profit?Assume you must buyInput:changes : array listing changes in the prices, where indices represent days; it has at least two valuesOutput:i : index of the change before which we buyj: index of the change before which we sellmaxProfit : the profit of this intervalExample:Assume the below table contains the prices of a particular stock over dayspriceschangesDay Value50-163132707340-304551556510660-57721287979.68-1110746.Therefore, the output of maxProfit([13,7,-30,15,10, -5,12,7,-11,6]) should be (3, 7, 39) . This is because our maximum profit would be39 when we buy the stock at day 4, index of 3, and sell after day 8, index of 7. Then, the total profit is 15+ 10 – 5+ 12+7= 39

1. In brute force this can be solved in two ways create an auxilary array start to traverse from end…

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Algorithms!! Computer Science Solve the following problem using the Brute-Force technique and write your theoretical analysis for the brute force case.

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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Question

Algorithms!! Computer Science

Solve the following problem using the Brute-Force technique and write your theoretical analysis for the brute force case.

- Problem Statement
During tough times like these, investment becomes more uncertain with more dangers. To solve it, we might try to train a model to decide when
to buy or sell. Therefore, to provide it with correct data, we plan to design an algorithm that answers:
• what is the perfect moment to buy and when to sell to maximize your profit?
Assume you must buy
Input:
changes : array listing changes in the prices, where indices represent days; it has at least two values
Output:
i : index of the change before which we buy
j: index of the change before which we sell
maxProfit : the profit of this interval
Example:
Assume the below table contains the prices of a particular stock over days
prices
changes
Day Value
50
-
1
63
13
2
70
7
3
40
-30
4
55
15
5
65
10
6
60
-5
7
72
12
8
79
7
9.
68
-11
10
74
6.
Therefore, the output of maxProfit([13,7,-30,15,10, -5,12,7,-11,6]) should be (3, 7, 39) . This is because our maximum profit would be
39 when we buy the stock at day 4, index of 3, and sell after day 8, index of 7. Then, the total profit is 15+ 10 – 5+ 12+7= 39

Process or set of rules that allow for the solving of specific, well-defined computational problems through a specific series of commands. This topic is fundamental in computer science, especially with regard to artificial intelligence, databases, graphics, networking, operating systems, and security.

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