Hello, coding enthusiast! On our journey to master programming and problem-solving, we've embraced an exciting challenge today. We’re going to delve into combinatorial problems using Kotlin's distinct features. Our focus is on efficiently solving these problems with large datasets containing multiple pairs of numbers. Throughout this lesson, you'll discover how to implement efficient solutions using Kotlin's powerful data structures like HashMap and avoid time-consuming operations like iterating over large collections. Excited? Let's dive in!
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Input: You are given a list of pairs where each pair consists of distinct, positive integers. The list can contain up to 1,000,000 pairs, and no two pairs are element-wise identical.
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Output: The goal is to find the number of index pairs
(i, j)(wherei ≠ j) such that thei-thpair does not share a common member with thej-thpair. -
Explanation:
- A pair
(a, b)is considered non-common with another pair(c, d)if they do not share any member, meaning none ofaorbis equal tocord. - Pairs
(2, 5)and(1, 6)are non-common because they do not share any member. - Conversely, pairs
(2, 5)and(3, 2)are common because they share the member2.
- A pair
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Example:
- Given the list
[(2, 5), (1, 6), (3, 2), (4, 2), (5, 1), (6, 3)], the output should be8. - This is because the non-common index pairs
(i, j)are:(0, 1),(0, 5),(1, 2),(1, 3),(2, 4),(3, 4),(3, 5), and(4, 5).
- Given the list
To address this problem efficiently, we take advantage of combinatorial concepts and Kotlin's data structures. Our strategy involves computing the total possible index pairs and then subtracting pairs that share a common element. This will yield the count of pairs without common elements.
First, calculate the total number of index pairs possible with the list. In a set of n elements, the number of combinations is given by the formula n * (n - 1) / 2. This works because each element can pair with every other element once, disregarding order since (a, b) is considered identical to (b, a).
Next, we'll count index pairs that do share at least one common element. We'll use a HashMap in Kotlin to track occurrences of each number in the pairs. For each number, calculate how many pairs it occurs in and sum these occurrences.
