I will discuss three approaches to find power(n, exp). power(n, exp) is defined as
power(2, 4) = 2 * 2 * 2 *2 = 16.
Iterative approach:
Space Complexity =
;
Time Complexity =&bg=FFFFFF&fg=000000&s=0)
Divide and Conquer / Recursive approach:
While finding power(2, 20), we know that
.
i.e,
.
It means that we can find solution for power(n, exp/2) and multiply that value with it again.
...
temp = power(n, exp/2);
power(n, exp) = temp * temp;
...
That is how we can avoid recomputing power(n, exp/2) TWO times.
Space Complexity =
[ Used in Stack, while running the program ] ;
Time Complexity = O(log n)
Exponentiation by Squaring / (log n) Iterative Method:
Refer: Wiki: Exponentiation by Squaring
It seems Art of Computer Programming, Volume 2: Semi numerical Algorithms by Donald Knuth ( his books are generally Juggernaut ) has discussed this method in detail. You may refer it ( I have not yet ).

This approach is implementation of the equation shown above.
Space Complexity = O(1) ;
Time Complexity = O(log n)
This code will work only for exp > 0.
power(2, 4) = 2 * 2 * 2 *2 = 16.
Iterative approach:
Space Complexity =
Time Complexity =
result=1; for(i=1 ; i<=exp ; i++) { result *= n; } printf("Iterative method: [%d]\n", result);
Divide and Conquer / Recursive approach:
While finding power(2, 20), we know that
i.e,
It means that we can find solution for power(n, exp/2) and multiply that value with it again.
...
temp = power(n, exp/2);
power(n, exp) = temp * temp;
...
That is how we can avoid recomputing power(n, exp/2) TWO times.
Space Complexity =
Time Complexity = O(log n)
int rec_pow(int n, int exp) { int subsoln; if (exp==1) { return n; } subsoln = rec_pow(n, exp/2); if (exp & 1) { // If exp is odd number. return n * subsoln * subsoln; } return subsoln * subsoln; }
Exponentiation by Squaring / (log n) Iterative Method:
Refer: Wiki: Exponentiation by Squaring
It seems Art of Computer Programming, Volume 2: Semi numerical Algorithms by Donald Knuth ( his books are generally Juggernaut ) has discussed this method in detail. You may refer it ( I have not yet ).

This approach is implementation of the equation shown above.
Space Complexity = O(1) ;
Time Complexity = O(log n)
This code will work only for exp > 0.
result=1; while(exp) { if (exp & 1) { // If exp is odd number. result *= n; } exp >>= 1; n *= n; } printf("Exponentiation by Squaring method: [%d]\n", result);