Find Min/Max in Rotated Sorted Array — Binary Search Patterns
The Find Min/Max in Rotated Sorted Array pattern applies when you need the Find Min/Max in Rotated Sorted Array technique within the Binary Search Patterns pattern. Its time complexity is O(log n) and space complexity O(1). It is used in 6 problems on Thita, including Find in Mountain Array, Find Minimum in Rotated Sorted Array and Find Peak Element. Common variations are On Sorted Array/List and Find First/Last Occurrence.
Master binary search in rotated sorted arrays. Find minimum, search elements, and handle duplicates.
Find Min/Max in Rotated Sorted Array is one of the 5 subpatterns of the Binary Search Patterns pattern, which covers standard binary search, rotated arrays, first/last occurrence, and search on answer space. The whole pattern is about 2.5 hours of study. This subpattern is a core technique: expect it to come up directly in interviews.
What Find Min/Max in Rotated Sorted Array covers
Master binary search algorithms including standard search, rotated array search, search on answer space, and finding boundaries. Essential for efficient O(log n) solutions. Problems in this subpattern are usually searched for as rotated sorted array, find minimum rotated, search rotated array, peak element, leetcode 33, leetcode 153.
How to practise Find Min/Max in Rotated Sorted Array on Thita.ai
Read the theory for Find Min/Max in Rotated Sorted Array, then work the problems attached to it in the browser editor. Your solution runs against the problem's test cases, and the AI coach offers a hint about the technique you are missing rather than a finished solution. Progress is tracked per subpattern, so the Binary Search Patterns tracker shows this one as covered once you have solved its problems.
Other subpatterns in Binary Search Patterns
- On Sorted Array/List — Master standard binary search on sorted arrays. Learn search insert position, sqrt calculation, and 2D matrix search.
- Find First/Last Occurrence — Learn to find first and last occurrence of elements using binary search. Master lower bound and upper bound concepts.
- Median and Kth of Two Sorted Arrays — Master the binary search approach to find median of two sorted arrays in O(log(min(m,n))) time.
- On Answer / Condition Function — Learn binary search on answer space for optimization problems like Koko eating bananas and capacity to ship packages.
Related DSA patterns
- Two Pointers — Fast-slow, converging, expanding from center, and in-place modification techniques.
- Sliding Window — Fixed-size, variable-size, and character frequency matching window techniques.
- Array/Matrix Manipulation Patterns — In-place operations, hashing, prefix sums, spiral traversal, and cyclic sort.
- Linked List Manipulation Patterns — In-place reversal, merging sorted lists, reordering, and intersection detection.
Where to go next
Find Min/Max in Rotated Sorted Array is one lesson in a 16-pattern DSA course. If you are preparing end to end, work the interview-critical patterns first and use the pattern sheet as the checklist; if you are here for one technique, the Binary Search Patterns guide is the shortest path back to the rest of it.