I was solving practice questions from a book when I stumbled upon this one :
*Describe a recursive algorithm that will check if an array A of integers contains an integer A[i] that is the sum of two integers that appear earlier in A, that is, such that
A[i] = A[j] +A[k] for j,k < i.
*
I have been thinking about this for a few hours but haven't been able to come up with a good recursive algorithm.
Method 1(Using Recursion) :Create a recursive function say, largest_element (int n, int arr[]). Base Condition : If(n==1) return arr[0]. ( If the remaining array is of length 1, return the only present element i.e. arr[0] ) Else, return max(arr[n-1], largest_element(n-1, arr))
A classic example of recursionThe factorial of a number is computed as that number times all of the numbers below it up to and including 1. For example, factorial(5) is the same as 5*4*3*2*1 , and factorial(3) is 3*2*1 .
A recursive solution without any loops (pseudocode):
bool check (A, i, j, k)
if (A[j] + A[k] == A[i])
return true
else
if (k + 1 < j) return check (A, i, j, k + 1)
else if (j + 1 < i) return check (A, i, j + 1, 0)
else if (i + 1 < A.size) return check (A, i + 1, 1, 0)
else return false
The recursive function is called with check(A, 2, 1, 0). To highlight the main part of the algorithm it does not check if the array initially has more than two elements.
Not very efficient but..
search(A, j, k) {
for (int i = 0; i < A.length; i++) {
if (A[i] == A[j] + A[k]) {
return i;
}
}
if (k + 1 == A.length) {
if (j + 1 < A.length) {
return search(A, j + 1, 0);
}
return -1; // not found
}
return search (A, j, k + 1);
}
Start the search with
search(A, 0, 0);
In python. The first function (search is less efficient O(n3)), but it also gives the j and k, the second one is more efficient (O(n2)), but only returns i.
def search(A, i):
for j in xrange(i):
for k in xrange(i):
if A[i] == (A[j] + A[k]):
return i, j, k
if i > 0:
return search(A, i - 1)
def search2(A, i, sums):
if A[i] in sums:
return i
if i == len(A) - 1:
return None
for j in range(i + 1):
sums.add(A[i] + A[j])
return search2(A, i + 1, sums)
if __name__ == '__main__':
print search([1, 4, 3], 2)
print search([1, 3, 4], 2)
print search2([1, 4, 3], 0, set())
print search2([1, 3, 4], 0, set())
It will print:
None
(2, 0, 1)
None
2
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With