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Updated on: 29 Oct 2023, 12:38
Originally posted by Sajjad1994 on 13 Apr 2021, 21:00.
Last edited by BottomJee on 29 Oct 2023, 12:38, edited 2 times in total.
Last edited by BottomJee on 29 Oct 2023, 12:38, edited 2 times in total.
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Computer scientists arrange problems solved by computers into categories based on the time it takes to solve them.
The time that it takes to solve a polynomial-time problem increases by a constant multiplier each time the size of the problem doubles. For instance, a polynomial time problem might take 5,000 calculations to optimize choices from a selection of 15 objects. Doubling the number of objects to 30 could increase the number of calculations by a factor of 5 to 25,000 calculations. This pattern would continue, with 60 objects requiring 125,000 calculations.
Problems that are solvable in the more complex exponential time increase in complexity by a constant multiplier with each additional item in the problem. If a computer could solve a 30-object exponential problem in 1 hour, adding a 31st object could increase the time required to 2 hours, and a 40-object version would then take that computer 1,024 hours—more than 6 weeks.
The time that it takes to solve a polynomial-time problem increases by a constant multiplier each time the size of the problem doubles. For instance, a polynomial time problem might take 5,000 calculations to optimize choices from a selection of 15 objects. Doubling the number of objects to 30 could increase the number of calculations by a factor of 5 to 25,000 calculations. This pattern would continue, with 60 objects requiring 125,000 calculations.
Problems that are solvable in the more complex exponential time increase in complexity by a constant multiplier with each additional item in the problem. If a computer could solve a 30-object exponential problem in 1 hour, adding a 31st object could increase the time required to 2 hours, and a 40-object version would then take that computer 1,024 hours—more than 6 weeks.
Doubling the number of items in the problem increases the processing time to find the exact solution by a constant multiplier.: No
An exponential-time solution to this problem, if discovered, would be revolutionary.: No
A heuristic method could potentially produce an approximate solution to this problem.: Yes
Be sure to select an answer first to save it in the Error Log before revealing the correct answer (OA)!
Difficulty:
95%
(hard)
Question Stats:
20% (03:30) correct
80%
(03:34)
wrong
based on 694
sessions
History
Date
Time
Result
Not Attempted Yet
1. Consider the following statements about the BKP. On the basis of the tabbed information, determine whether the statements can be reasonably inferred about the BKP. Indicate yes if a statement can be properly inferred; otherwise indicate no.
| Yes | No | |
| Doubling the number of items in the problem increases the processing time to find the exact solution by a constant multiplier. | ||
| An exponential-time solution to this problem, if discovered, would be revolutionary. | ||
| A heuristic method could potentially produce an approximate solution to this problem. |
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Official Answer
Doubling the number of items in the problem increases the processing time to find the exact solution by a constant multiplier.: No
An exponential-time solution to this problem, if discovered, would be revolutionary.: No
A heuristic method could potentially produce an approximate solution to this problem.: Yes
There are efficient ways to get close approximations to the actual minimum solution.
Be sure to select an answer first to save it in the Error Log before revealing the correct answer (OA)!
Difficulty:
15%
(low)
Question Stats:
78% (01:15) correct
22%
(01:36)
wrong
based on 533
sessions
History
Date
Time
Result
Not Attempted Yet
2. A microchip manufacturer wants a continuous electronic circuit to pass once through each semiconductor device on a chip in the minimum distance possible. According to the tabbed information, which of the following is true of the problem faced by the manufacturer?
| It is mathematically impossible to find a solution in polynomial time. | |
| The problem can be mathematically reduced to finding a GCD. | |
| There are efficient ways to get close approximations to the actual minimum solution. | |
| The manufacturer cannot solve the problem without the help of expert mathematicians or computer theoreticians. | |
| Adding 10 more semiconducting devices to the chip would make the problem impossible to solve in a timely manner. |
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Official Answer
There are efficient ways to get close approximations to the actual minimum solution.
27 minutes
Be sure to select an answer first to save it in the Error Log before revealing the correct answer (OA)!
Difficulty:
15%
(low)
Question Stats:
76% (01:08) correct
24%
(01:17)
wrong
based on 541
sessions
History
Date
Time
Result
Not Attempted Yet
3. If a computer solves a 10-object BKP in 1 minute and an 11-object BKP in 3 minutes, how long will the computer take to solve a 13-object BKP, assuming that current beliefs about NP-complete problems are true?
| 7 minutes | |
| 9 minutes | |
| 27 minutes | |
| 54 minutes | |
| 81 minutes |
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Official Answer
27 minutes
29 Nov 2022, 19:59
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On question 1:
A) NO. First look at tab 3, it mentions "finding an exact solution to the BKP is NP-complete"; Then comes to tab 2 where it presents the characteristics of NP-complete "a polynomial-time solution for any NP-complete problem would be revolutionary", which indicates that NP-complete is not essentially a "polynomial-time" problem, and only "polynomial-time" problem has the features mentioned in question A.
B) YES. First look at tab 3, it mentions "finding an exact solution to the BKP is NP-complete"; Then comes to tab 2 where it presents the characteristics of NP-complete "a polynomial-time solution for any NP-complete problem would be revolutionary".
C) YES. First locate "heuristic" in tab 3's TSP, which is a NP-complete, but certain heuristics can quickly produce approximate solution, and since "finding an exact solution to the BKP is NP-complete", thus, heuristic methods can potentially find an approximate answer (but not exact) to BKP.
On question 2:
We need to determine what is the essence of this "microchip" problem, by looking at " in the minimum distance possible", we can infer that this problem is a derivative of the TSP. And the characteristics of TSP is "using certain heuristics can quickly produce approximate answers".
On question 3：
The question says "assuming the current beliefs about NP-complete problems are true", meaning we can use "polynomial-time solution" to solve the NP-complete problem. Now let's go to tab 1 to find out the method of time calculation.
"The time that it takes to solve this problem increases by a constant multiplier each time the size of the problem doubles".
Now we need to find out the constant multiplier each time when we add one object into the BKP.
10 objects - 1 min, 11 object - 3 min, so the constant multiplier is 2 each time when we add one object in.
So 12 object = 3*3=9 min, 13 object = 9*3=27min
A) NO. First look at tab 3, it mentions "finding an exact solution to the BKP is NP-complete"; Then comes to tab 2 where it presents the characteristics of NP-complete "a polynomial-time solution for any NP-complete problem would be revolutionary", which indicates that NP-complete is not essentially a "polynomial-time" problem, and only "polynomial-time" problem has the features mentioned in question A.
B) YES. First look at tab 3, it mentions "finding an exact solution to the BKP is NP-complete"; Then comes to tab 2 where it presents the characteristics of NP-complete "a polynomial-time solution for any NP-complete problem would be revolutionary".
C) YES. First locate "heuristic" in tab 3's TSP, which is a NP-complete, but certain heuristics can quickly produce approximate solution, and since "finding an exact solution to the BKP is NP-complete", thus, heuristic methods can potentially find an approximate answer (but not exact) to BKP.
On question 2:
We need to determine what is the essence of this "microchip" problem, by looking at " in the minimum distance possible", we can infer that this problem is a derivative of the TSP. And the characteristics of TSP is "using certain heuristics can quickly produce approximate answers".
On question 3：
The question says "assuming the current beliefs about NP-complete problems are true", meaning we can use "polynomial-time solution" to solve the NP-complete problem. Now let's go to tab 1 to find out the method of time calculation.
"The time that it takes to solve this problem increases by a constant multiplier each time the size of the problem doubles".
Now we need to find out the constant multiplier each time when we add one object into the BKP.
10 objects - 1 min, 11 object - 3 min, so the constant multiplier is 2 each time when we add one object in.
So 12 object = 3*3=9 min, 13 object = 9*3=27min
General Discussion
14 Apr 2021, 01:01
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1- No, No, Yes
2- C
3- C, 27 = 3^3
2- C
3- C, 27 = 3^3
