Stacks, Queues, Monotonic Structures & Arithmetic Evaluator Project
Master LIFO and FIFO primitives: ArrayDeque efficiency, Monotonic Stacks (Next Greater Element), Monotonic Queues, and engineer an arithmetic expression evaluator project.
Linear data structures and FIFO/LIFO semantics
Expertise in monotonic stacks and deques for next greater element and sliding window extremes in amortized O(n).
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Every lesson builds on the one before it. Open any lesson to read the explanation, run the examples, and try the practice challenges.
- 11.01Stack & Queue Internals: ArrayDeque vs Legacy Stack & Circular Buffers4 min
Examine stack and queue architectures. Learn why java.util.Stack is deprecated in favor of ArrayDeque, and implement a high-performance circular ring buffer.
- 11.02Monotonic Structures: Next Greater Element & Sliding Window Maximum4 min
Master monotonic data structures. Learn how Monotonic Stacks solve Next Greater Element in O(N) time and Monotonic Queues find Sliding Window Maximums.
- 11.03Double-Ended Queues and Monotonic Deque Invariants: Sliding Window Maximum4 min
Harness monotonic double-ended queues (Deques) to solve continuous sliding window maximum and minimum problems in amortized O(n) linear time.
- 11.04Guided Project 3: Arithmetic Expression Evaluator & Shunting-Yard EngineProject4 min
Build an industrial-grade mathematical expression evaluator. Implement Dijkstra's Shunting-Yard algorithm to parse infix tokens into Reverse Polish Notation (RPN) and evaluate ASTs.
Ready to move on?
Deliver Project 3: Arithmetic Expression Evaluator & Syntax Tree Parser.
Open the module self-check