
The primary task is to determine the number of odd numbers that lie between two specified non-negative integers, including these two integers themselves. The two integers, termed as low and high, serve as the boundaries for this range. In essence, the function should return a count indicating how many numbers within this inclusive range are odd.
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Explanation:
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Explanation:
0 <= low <= high <= 10^9To solve this problem efficiently while considering the constraint limitations, observation and mathematical deduction are key. The constraints given (0 <= low <= high <= 10^9) suggest that a naive approach of iterating through each number between low and high would be computationally expensive, especially at the upper limits. Instead, a more mathematical approach can be applied:
Understanding Odd Number Counting:
Starting Point Consideration:
low is odd, the first number in our range is an odd number. If low is even, the count starts from the next number which will be odd.Ending Point Consideration:
high is odd, it concludes our counting range on an odd number.Calculating the Number of Odds Directly:
low and high are odd, or both are even, the count of odd numbers from low to high is (high - low) / 2 + 1.(high - low) / 2.This direct calculation does not require looping through all numbers from low to high, making it optimal even for the highest limits set by the constraints.
This C++ code snippet provides a method named findOddCount to calculate the count of odd numbers within a given interval range specified by the min and max parameters. The function first checks if min is even by using bitwise AND operation with 1. If min is even, it increments min by one to move to the next odd number.
The function then checks if min is greater than max. If so, it returns 0, indicating there are no odd numbers in this range. Otherwise, it calculates the count of odd numbers using the formula (max - min) / 2 + 1. This formula works by finding the number of elements between min and max and adding 1 because both min and max are odd at this point, ensuring the inclusion of all odd counts in half-bounded intervals.
Using this method is efficient as it avoids iterating through the entire range and directly computes the count using arithmetic operations.
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