Compare stack (LIFO - Last In First Out) and queue (FIFO - First In First Out) data structures. Visualize stack operations push() and pop() used in function call stacks, undo mechanisms, and expression evaluation. Explore queue operations enqueue() and dequeue() used in task scheduling, breadth-first search, and print job management. Both structures offer O(1) time complexity for their primary operations.
Construct dynamic 2D Binary Search Trees element by element. Run animated depth-first traversals (In-order, Pre-order, Post-order) stepping through the recursive call stack.
Witness the internal array backing an ArrayList dynamically resize. Compare fixed memory bounds against O(N) copy operations when capacity is exceeded.
Deconstruct nested loops covering Row-Major, Column-Major, and boundary tracing across a 2D integer matrix.
Analyze algorithm efficiency using Big-O notation to describe time and space complexity. Compare O(1) constant time, O(log n) logarithmic, O(n) linear, O(n log n) linearithmic, O(n²) quadratic, and O(2ⁿ) exponential growth rates. Visualize how input size affects runtime, understand best/average/worst case scenarios, and learn to identify complexity by analyzing loops, recursion depth, and data structure operations.