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CS341 - Data Structures and Algorithms S4 - F25

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Output?

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int f(int n){

   if(n == 2) return 4;

   return f(n+2) - 1;

}

f(0);

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What is printed?

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void fun(int n){

   if(n < 0) return;

   System.out.print(n + " ");

   fun(n-2);

}

fun(5);

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Which of the following MUST exist in every correct recursive function?

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The time complexity of computing Fibonacci recursively is:

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Does this function always terminate?

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int f(int n){

    System.out.print(n);

    return f(n-1);

}

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Which function is MOST likely to cause exponential complexity when recursive?

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If a recursive function splits the problem into 2 subproblems of size n/2, the complexity is generally:

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Which condition is a correct base case?

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The base case is used to:

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Recursion without a base case leads to:

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