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The concept of order (Big O) is important because
- a)It can be used to decide the best algorithm that solves a given problem
- b)It determines the maximum size of a problem that can be solved in a given amount of time
- c)It is the lower bound of the growth rate of algorithm
- d)Both (a) and (b) above
Correct answer is option 'D'. Can you explain this answer?
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The concept of order (Big O) is important becausea)It can be used to d...
Big O notation gives worst case limit for a given problem: Also find out the least upper bound of problem.
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The concept of order (Big O) is important becausea)It can be used to d...
Introduction:
The concept of order (Big O) is an important topic in computer science and algorithm analysis. It allows us to analyze the efficiency of algorithms in terms of their time complexity and memory usage.
Importance of Big O:
The importance of Big O lies in its ability to help decide the best algorithm that solves a given problem. It also determines the maximum size of a problem that can be solved in a given amount of time.
Choosing the Best Algorithm:
When we have multiple algorithms for solving a problem, we can use the concept of Big O to compare their efficiency. The algorithm with the lower time complexity is usually preferred because it can solve larger problems in less time.
Determining Maximum Problem Size:
Big O also helps determine the maximum size of a problem that can be solved in a given amount of time. If we know the time complexity of an algorithm and the maximum amount of time we have to solve a problem, we can calculate the maximum problem size that can be solved.
Conclusion:
In conclusion, the concept of order (Big O) is important in computer science because it helps us analyze the efficiency of algorithms in terms of time complexity and memory usage. It also helps us choose the best algorithm for solving a given problem and determine the maximum size of a problem that can be solved in a given amount of time.
The concept of order (Big O) is an important topic in computer science and algorithm analysis. It allows us to analyze the efficiency of algorithms in terms of their time complexity and memory usage.
Importance of Big O:
The importance of Big O lies in its ability to help decide the best algorithm that solves a given problem. It also determines the maximum size of a problem that can be solved in a given amount of time.
Choosing the Best Algorithm:
When we have multiple algorithms for solving a problem, we can use the concept of Big O to compare their efficiency. The algorithm with the lower time complexity is usually preferred because it can solve larger problems in less time.
Determining Maximum Problem Size:
Big O also helps determine the maximum size of a problem that can be solved in a given amount of time. If we know the time complexity of an algorithm and the maximum amount of time we have to solve a problem, we can calculate the maximum problem size that can be solved.
Conclusion:
In conclusion, the concept of order (Big O) is important in computer science because it helps us analyze the efficiency of algorithms in terms of time complexity and memory usage. It also helps us choose the best algorithm for solving a given problem and determine the maximum size of a problem that can be solved in a given amount of time.
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Community Answer
The concept of order (Big O) is important becausea)It can be used to d...
The concept of order ( Big o ) is important because
ans = it can be used to decide the best algorithm that
solves given problem
it determines the maximum size of a problem that can be solved in a given amount of time
both (a) and ( b ) above
ans = it can be used to decide the best algorithm that
solves given problem
it determines the maximum size of a problem that can be solved in a given amount of time
both (a) and ( b ) above
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The concept of order (Big O) is important becausea)It can be used to decide the best algorithm that solves a given problemb)It determines the maximum size of a problem that can be solved in a given amount of timec)It is the lower bound of the growth rate of algorithmd)Both (a) and (b) aboveCorrect answer is option 'D'. Can you explain this answer? for Computer Science Engineering (CSE) 2026 is part of Computer Science Engineering (CSE) preparation. The Question and answers have been prepared according to the Computer Science Engineering (CSE) exam syllabus. Information about The concept of order (Big O) is important becausea)It can be used to decide the best algorithm that solves a given problemb)It determines the maximum size of a problem that can be solved in a given amount of timec)It is the lower bound of the growth rate of algorithmd)Both (a) and (b) aboveCorrect answer is option 'D'. Can you explain this answer? covers all topics & solutions for Computer Science Engineering (CSE) 2026 Exam. Find important definitions, questions, meanings, examples, exercises and tests below for The concept of order (Big O) is important becausea)It can be used to decide the best algorithm that solves a given problemb)It determines the maximum size of a problem that can be solved in a given amount of timec)It is the lower bound of the growth rate of algorithmd)Both (a) and (b) aboveCorrect answer is option 'D'. Can you explain this answer?.
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