Given two non-negative integers A and B, print to the console all numbers less than or equal to B that are powers of A
Powers of a number are: A0, A1, A2, etc.
An = A multiplied by itself n times
A0 = 1
A1 = A
A2 = A * A
A3 = A * A * A
A4 = A * A * A * A
etc.
Example:
Input: A = 3, B = 100 Output: 1 3 9 27 81 Explanation: 30 = 1 31 = 3 32 = 9 33 = 27 34 = 81
The problem requires us to print all powers of a given number A that are less than or equal to another number B. The powers of a number A are defined as A0, A1, A2, and so on.
The core challenge is to generate and print all powers of A that do not exceed B. This problem is significant in various applications such as computing exponential growth, analyzing algorithms, and more.
To solve this problem, we can use a simple iterative approach:
We can start with the number 1 (which is A0) and keep multiplying it by A until the result exceeds B. This approach is straightforward but efficient for this problem.
The naive solution is already optimal for this problem since it directly computes the required powers without unnecessary computations. The time complexity is O(logAB) because the number of multiplications is proportional to the logarithm of B base A.
Here is a step-by-step breakdown of the algorithm:
power
to 1 (which is A0).while
loop to check if power
is less than or equal to B.power
.power
by A to get the next power of A.power
exceeds B.public class PrintPowers {
public static void main(String[] args) {
int A = 3; // Base number
int B = 100; // Upper limit
// Initialize the first power of A
long power = 1;
// Loop to print all powers of A less than or equal to B
while (power <= B) {
System.out.println(power); // Print the current power
power *= A; // Calculate the next power of A
}
}
}
The time complexity of this approach is O(logAB) because the number of iterations is proportional to the logarithm of B base A. The space complexity is O(1) as we are using a constant amount of extra space.
Consider the following edge cases:
To test the solution comprehensively, consider the following test cases:
When approaching such problems:
In this blog post, we discussed how to print all powers of a given number A that are less than or equal to another number B. We explored the problem definition, approach, algorithm, code implementation, complexity analysis, edge cases, and testing. Understanding and solving such problems is crucial for developing strong problem-solving skills.
For further reading and practice, consider the following resources: