This question evaluates understanding of algorithm design for sorted arrays, logarithmic-time search under constant-space constraints, frequency analysis for elements exceeding a threshold, and the ability to justify correctness and handle edge cases; it belongs to the Coding & Algorithms domain and emphasizes practical application with conceptual complexity analysis. It is commonly asked to assess proficiency in optimizing time and space complexity, reasoning about boundary conditions (e.g., small n or values near partition thresholds), and providing formal time/space analysis and correctness arguments.

Given a sorted array of integers nums of length n, return all values that occur more than floor(n/ 3) times. Design an algorithm that runs in O(log n) time and O(