Feature #9: Kth Missing Gene
Explore how to apply binary search to find the kth missing gene in a species' sorted DNA sequence. Understand the calculation of missing genes based on gene numbers and indices. This lesson helps you develop an efficient algorithm with O(log n) time complexity and constant space usage for biological data analysis.
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Description
A planet has n genes, numbered 1 to n. Every species on the planet has a subset of these genes in its DNA sequence.
For a given species’ DNA, A, we want to find the missing gene in sorted order. The given DNA sequence will be sorted in strictly increasing order.
Constraints
1 <= A[i] <= 10001<= k <= 1000A[i] <= A[j] for 1 <= i < j <= A.length
The following examples may clarify this problem:
Solution
Our input is sorted in an ascending order. We can use this fact and try to solve this problem using binary search. However, we need to find the number of missing genes that come before a given gene in the DNA A in order to use the binary search algorithm. To find the number of missing genes, we will compare our input array, A, with an array that has no missing genes.
Suppose that the input array, A ...