Live Coding Interview Preparation_Amazon_Facebook_Google

Learn how to find the smallest difference between two values in an array using brute force and an optimal sort-and-traverse approach in Java, with tests and implementation.

Explore Kadene's algorithm to find the largest sum in the continuous area by maintaining current max and max so far, updating with each element to return the optimal result.

Learn to check balanced parentheses in a live coding interview setting by using a stack to push left brackets and pop on matches; an empty stack signals balance.

Convert roman numerals to decimal in Java by building a hash map of roman values, validating inputs with a regex, and parsing with a stack to handle subtractive pairs.

Master the queue data structure in a rapid-fire live coding interview practice tailored for Amazon, Facebook, and Google.

Implement a queue by using a stack, exploring push and pop, and ensure first-in, first-out behavior with optional returns for empty dequeues, and test the implementation.

Master hashmap iteration techniques to efficiently traverse maps during live coding interviews with Amazon, Facebook, and Google.

Learn how binary search quickly locates elements in an array by comparing the middle element, halving the search space, and returning the index or -1, with recursive and iterative implementations.

Master the Facebook interview question cut wood by applying binary search to maximize the length of wood pieces to meet a target count, and analyze logarithmic time complexity.

Practice sorting numbers by their absolute values through hands-on coding exercises tailored to Amazon, Facebook, and Google interview preparation.

Master pancake sort concepts and coding interview strategies for top tech companies. Explore practical sorting challenges from Amazon, Facebook, and Google to sharpen live coding interview skills.

Merge two sorted arrays into a new sorted array using a pointer-based approach, achieving O(n+m) time and O(n+m) space with tests and implementation guidance.

Apply a two-pointer strategy from the end to merge B into A in sorted order, enabling an in-place merge with time complexity equal to the combined sizes, validated by tests.

Explore the LRU cache concept and its key operations, with focused practice for high-pressure live coding interviews at Amazon, Facebook, and Google.