The Pancake Sorting problem asks you to sort an array using pancake flips. A pancake flip reverses the subarray from index 0 to k. Return a sequence of k-values used to sort the array in at most 2n flip operations. This coding problem uses a greedy selection sort approach where you flip the maximum element to its target position in two flips. The array, sorting, two pointers, and greedy interview pattern is demonstrated.
Microsoft, Amazon, and Oracle ask this to test the ability to design a custom sorting algorithm with restricted operations. The greedy insight — two flips to move any element to its target position — is elegant and demonstrates creative problem-solving under operation constraints.
Greedy two-flip selection sort. For each size from n down to 2: find the position maxPos of the maximum unsorted element. If maxPos != size-1: if maxPos != 0: flip to bring max to front (add maxPos+1 to result, reverse arr[0..maxPos]). Then flip to bring max to target (add size to result, reverse arr[0..size-1]). Reduce size by 1.
arr=[3,2,4,1]. n=4.
Pancake Sorting tests designing algorithms under operation constraints. The key insight: any element can be moved to any position in at most 2 flips. This "selection sort with two flips" approach is greedy and guarantees at most 2n-3 flips total. Practice similar "sort with constrained operations" problems: "sort with reversal," "sort with swaps of adjacent elements." The creative step is mapping a standard sort to the available operation.
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