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Consider the following C-function:
double foo (int n)
{
    int i;
    double sum;
    if (n = = 0) return 1.0;
    else
    {
        sum = 0.0;
        for (i = 0; i < n; i++)
            sum += foo (i);
        return sum;
    }
}
Suppose we modify the above function foo() and store the values of foo (i), 0 < = i < n, as and when they are computed. With this modification, the time complexity for function foo() is significantly reduced. The space complexity of the modified function would be:
  • a)
    O(1)
  • b)
    O(n)
  • c)
    O(n!)
  • d)
    O(nn)
Correct answer is option 'B'. Can you explain this answer?
Verified Answer
Consider the following C-function:double foo (int n){ int i; double ...
Space complexity now is also O(n). We would need an array of size O(n). The space required for recursive calls would be O(1) as the values would be taken from stored array rather than making function calls again and again.
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Most Upvoted Answer
Consider the following C-function:double foo (int n){ int i; double ...
Based on the given code snippet, the missing part of the code should be:

```c
for (i = 0; i < n;="" i++)="" />
sum += foo(i);
}
```

This missing part of the code creates a for loop that iterates from 0 to n-1 and calls the `foo` function recursively with each iteration. The return value of each recursive call is added to the `sum` variable.
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