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Consider the following code fragment in the C programming language when run on a non-negative integer n.int f (int n){if (n==0 || n==1)return 1;elsereturn f (n - 1) + f(n - 2);}Assuming a typical implementation of the language, what is the running time of this algorithm and how does it compare to the optimal running time for this problem?a)This algorithm runs in polynomial time in n but the optimal running time is exponential in n.b)This algorithm runs in exponential time in n and the optimal running time is exponential in n.c)This algorithm runs in exponential time in n but the optimal running time is polynomial in n.d)This algorithm runs in polynomial time in n and the optimal running time is polynomial in n.e)The algorithm does not terminate.Correct answer is option 'C'. Can you explain this answer? for Computer Science Engineering (CSE) 2024 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 Consider the following code fragment in the C programming language when run on a non-negative integer n.int f (int n){if (n==0 || n==1)return 1;elsereturn f (n - 1) + f(n - 2);}Assuming a typical implementation of the language, what is the running time of this algorithm and how does it compare to the optimal running time for this problem?a)This algorithm runs in polynomial time in n but the optimal running time is exponential in n.b)This algorithm runs in exponential time in n and the optimal running time is exponential in n.c)This algorithm runs in exponential time in n but the optimal running time is polynomial in n.d)This algorithm runs in polynomial time in n and the optimal running time is polynomial in n.e)The algorithm does not terminate.Correct answer is option 'C'. Can you explain this answer? covers all topics & solutions for Computer Science Engineering (CSE) 2024 Exam. Find important definitions, questions, meanings, examples, exercises and tests below for Consider the following code fragment in the C programming language when run on a non-negative integer n.int f (int n){if (n==0 || n==1)return 1;elsereturn f (n - 1) + f(n - 2);}Assuming a typical implementation of the language, what is the running time of this algorithm and how does it compare to the optimal running time for this problem?a)This algorithm runs in polynomial time in n but the optimal running time is exponential in n.b)This algorithm runs in exponential time in n and the optimal running time is exponential in n.c)This algorithm runs in exponential time in n but the optimal running time is polynomial in n.d)This algorithm runs in polynomial time in n and the optimal running time is polynomial in n.e)The algorithm does not terminate.Correct answer is option 'C'. Can you explain this answer?.

Solutions for Consider the following code fragment in the C programming language when run on a non-negative integer n.int f (int n){if (n==0 || n==1)return 1;elsereturn f (n - 1) + f(n - 2);}Assuming a typical implementation of the language, what is the running time of this algorithm and how does it compare to the optimal running time for this problem?a)This algorithm runs in polynomial time in n but the optimal running time is exponential in n.b)This algorithm runs in exponential time in n and the optimal running time is exponential in n.c)This algorithm runs in exponential time in n but the optimal running time is polynomial in n.d)This algorithm runs in polynomial time in n and the optimal running time is polynomial in n.e)The algorithm does not terminate.Correct answer is option 'C'. Can you explain this answer? in English & in Hindi are available as part of our courses for Computer Science Engineering (CSE). Download more important topics, notes, lectures and mock test series for Computer Science Engineering (CSE) Exam by signing up for free.

Here you can find the meaning of Consider the following code fragment in the C programming language when run on a non-negative integer n.int f (int n){if (n==0 || n==1)return 1;elsereturn f (n - 1) + f(n - 2);}Assuming a typical implementation of the language, what is the running time of this algorithm and how does it compare to the optimal running time for this problem?a)This algorithm runs in polynomial time in n but the optimal running time is exponential in n.b)This algorithm runs in exponential time in n and the optimal running time is exponential in n.c)This algorithm runs in exponential time in n but the optimal running time is polynomial in n.d)This algorithm runs in polynomial time in n and the optimal running time is polynomial in n.e)The algorithm does not terminate.Correct answer is option 'C'. Can you explain this answer? defined & explained in the simplest way possible. Besides giving the explanation of Consider the following code fragment in the C programming language when run on a non-negative integer n.int f (int n){if (n==0 || n==1)return 1;elsereturn f (n - 1) + f(n - 2);}Assuming a typical implementation of the language, what is the running time of this algorithm and how does it compare to the optimal running time for this problem?a)This algorithm runs in polynomial time in n but the optimal running time is exponential in n.b)This algorithm runs in exponential time in n and the optimal running time is exponential in n.c)This algorithm runs in exponential time in n but the optimal running time is polynomial in n.d)This algorithm runs in polynomial time in n and the optimal running time is polynomial in n.e)The algorithm does not terminate.Correct answer is option 'C'. Can you explain this answer?, a detailed solution for Consider the following code fragment in the C programming language when run on a non-negative integer n.int f (int n){if (n==0 || n==1)return 1;elsereturn f (n - 1) + f(n - 2);}Assuming a typical implementation of the language, what is the running time of this algorithm and how does it compare to the optimal running time for this problem?a)This algorithm runs in polynomial time in n but the optimal running time is exponential in n.b)This algorithm runs in exponential time in n and the optimal running time is exponential in n.c)This algorithm runs in exponential time in n but the optimal running time is polynomial in n.d)This algorithm runs in polynomial time in n and the optimal running time is polynomial in n.e)The algorithm does not terminate.Correct answer is option 'C'. Can you explain this answer? has been provided alongside types of Consider the following code fragment in the C programming language when run on a non-negative integer n.int f (int n){if (n==0 || n==1)return 1;elsereturn f (n - 1) + f(n - 2);}Assuming a typical implementation of the language, what is the running time of this algorithm and how does it compare to the optimal running time for this problem?a)This algorithm runs in polynomial time in n but the optimal running time is exponential in n.b)This algorithm runs in exponential time in n and the optimal running time is exponential in n.c)This algorithm runs in exponential time in n but the optimal running time is polynomial in n.d)This algorithm runs in polynomial time in n and the optimal running time is polynomial in n.e)The algorithm does not terminate.Correct answer is option 'C'. Can you explain this answer? theory, EduRev gives you an ample number of questions to practice Consider the following code fragment in the C programming language when run on a non-negative integer n.int f (int n){if (n==0 || n==1)return 1;elsereturn f (n - 1) + f(n - 2);}Assuming a typical implementation of the language, what is the running time of this algorithm and how does it compare to the optimal running time for this problem?a)This algorithm runs in polynomial time in n but the optimal running time is exponential in n.b)This algorithm runs in exponential time in n and the optimal running time is exponential in n.c)This algorithm runs in exponential time in n but the optimal running time is polynomial in n.d)This algorithm runs in polynomial time in n and the optimal running time is polynomial in n.e)The algorithm does not terminate.Correct answer is option 'C'. Can you explain this answer? tests, examples and also practice Computer Science Engineering (CSE) tests.