
Given a positive integer n, the task is to compute what is termed as the punishment number of n. The punishment number for any integer n is calculated as follows:
i ranging from 1 to n both inclusive.i, compute the square, i*i.i*i) can be split into contiguous sub-numbers whose sum totals back to i, that square value (i*i) contributes to the punishment number.n.Input:
Output:
Explanation:
Input:
Output:
Explanation:
1 <= n <= 1000n.i:i (i*i).i*i can be split into multiple contiguous numbers that sum to i.i*i. For each partition, sum the numbers and compare with i.i*i for which the above condition holds true to obtain the final punishment number.These examples illustrate verifying partitions and accumulation of values methodically, which is integral for solving bigger inputs as defined by the constraints (1 <= n <= 1000). The approach will thus consist of iterating across this range, checking possible partitions for each square, and summing those that qualify.
This C++ solution describes how to calculate the "total penalty" of integers from 1 up to a given limit. The penalty is calculated based on whether the square of an integer can be partitioned in a way where the sum of the parts equals the integer itself. The essential parts of the implementation include:
isPartitionPossible Function: This recursive function checks if the square of a number can be split into parts such that the sum of the parts equals the original number. This check is performed by recursively reducing the problem size - first by considering the last digit, then the last two digits, and so on, of the squared number.
calculateTotalPenalty Function: This function iterates from 1 to the specified limit, squares each integer, and uses isPartitionPossible to check if a valid partition exists. If it does, the square of the number is added to the total penalty.
Key Methods Used:
isPartitionPossible to explore different ways to split the square of the number.calculateTotalPenalty to accumulate penalties for numbers from 1 to the given limit.This approach is efficient for calculating the sum of all such penalties up to a given limit and highlights how recursion can be utilized in breaking down complex computational problems into manageable sub-problems.
0 Comments
Be the first to comment and share your perspective with the community.