LC 1711 Count Good Meals extends Two Sum to 22 power-of-two targets, counting pairs whose combined deliciousness is a power of 2 using a frequency map and complement lookup — tested at Amazon, Google, and Meta.
LC 981 Time Based Key-Value Store pairs a hash map with binary search to retrieve the value associated with the largest timestamp not exceeding a query — a foundational design problem tested at Google, Amazon, and Facebook.
LC 454 4Sum II counts 4-tuples from four arrays summing to zero by splitting into two pairs and using a frequency map — the meet-in-the-middle strategy that reduces O(n^4) to O(n^2), tested at Google, Amazon, and Microsoft.
LC 460 LFU Cache implements O(1) get and put using three hash maps and ordered per-frequency buckets — one of the most complex design problems in FAANG interview prep, seen at Google and Amazon for senior roles.
LC 432 All O'one Data Structure supports inc, dec, getMaxKey, and getMinKey all in O(1) using a doubly linked list of frequency buckets — one of the most elegant O(1) designs in FAANG interview prep.