The Structure of a Program: Explore Time and Space Solutions When Analyzing Algorithms Programmatically and Mathematically
When addressing a sorting problem programmatically, one must analyze the code to analyze the time and space complexity of the algorithm used. This can be very confusing when learning how to perform code analysis because sometimes the time and space complexity differ from what is listed for the algorithm. Referring directly to the code makes the problem easier to analyze because the code explicitly defines the logic necessary to accomplish a solution.
When approaching this problem mathematically, a mathematician could use hashing, a sum formula, or an XOR operation. After solving for x, the mathematician might then check the time and space complexity for the method used. In this scenario, hashing produces an O(N) space complexity and XOR operations produce an O(1) space complexity.
To solve this problem quickly, we can put the array elements in order to see which number is missing as we iterate through the numbers in the array.
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