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Computer Science

576Complete Binary Tree Property
577Heap Order Property: Min-Heap
578Heap Order Property: Max-Heap
579Array Representation of Binary Heaps
580Parent-Child Index Formulas
581Height of a Binary Heap
582Heap Shape vs Heap Order
583Visualizing Heap Structure
584Comparing Heaps to BSTs
585Heap Structure Invariants
586Heap Insert: Upward Bubbling Concept
587Implementing Heap Insert
588Insert Time Complexity Analysis
589Extract-Max/Min: Core Priority Queue Operation
590Downward Bubbling (Heapify-Down)
591Implementing Extract Operation
592Extract Time Complexity
593Peek Operation for Priority Inspection
594Increase/Decrease Key Operations
595Delete Arbitrary Element
596Build Heap: Bottom-Up Construction
597Build Heap Time Complexity: O(n) Proof
598Merge Two Heaps
599Heap Operation Trade-offs
600Practical Heap Implementation Considerations
601Heapsort Overview and Basic Idea
602Building a Max Heap for Sorting
603The Sorting Phase: Extract-Max Repeatedly
604In-Place Heapsort Implementation
605Heapsort Time Complexity Analysis
606Heapsort Space Complexity and Stability
607Heapsort vs Quicksort vs Mergesort
608Practical Considerations for Heapsort
609Priority Queue ADT Overview
610Heap as Priority Queue Implementation
611Job Scheduling with Priority Queues
612Event-Driven Simulation
613Dijkstra's Algorithm with Priority Queue
614Huffman Coding Tree Construction
615Median Maintenance with Two Heaps
616Merging K Sorted Lists
617Load Balancing Systems
618Top-K Elements Problem

Computer Science

576Complete Binary Tree Property
577Heap Order Property: Min-Heap
578Heap Order Property: Max-Heap
579Array Representation of Binary Heaps
580Parent-Child Index Formulas
581Height of a Binary Heap
582Heap Shape vs Heap Order
583Visualizing Heap Structure
584Comparing Heaps to BSTs
585Heap Structure Invariants
586Heap Insert: Upward Bubbling Concept
587Implementing Heap Insert
588Insert Time Complexity Analysis
589Extract-Max/Min: Core Priority Queue Operation
590Downward Bubbling (Heapify-Down)
591Implementing Extract Operation
592Extract Time Complexity
593Peek Operation for Priority Inspection
594Increase/Decrease Key Operations
595Delete Arbitrary Element
596Build Heap: Bottom-Up Construction
597Build Heap Time Complexity: O(n) Proof
598Merge Two Heaps
599Heap Operation Trade-offs
600Practical Heap Implementation Considerations
601Heapsort Overview and Basic Idea
602Building a Max Heap for Sorting
603The Sorting Phase: Extract-Max Repeatedly
604In-Place Heapsort Implementation
605Heapsort Time Complexity Analysis
606Heapsort Space Complexity and Stability
607Heapsort vs Quicksort vs Mergesort
608Practical Considerations for Heapsort
609Priority Queue ADT Overview
610Heap as Priority Queue Implementation
611Job Scheduling with Priority Queues
612Event-Driven Simulation
613Dijkstra's Algorithm with Priority Queue
614Huffman Coding Tree Construction
615Median Maintenance with Two Heaps
616Merging K Sorted Lists
617Load Balancing Systems
618Top-K Elements Problem

← Computer Science

Lesson 581 of 2,872·14. Heaps and Priority QueuesPro lesson

Height of a Binary Heap

Calculate that a heap with n elements has height floor(log n), making operations logarithmic in complexity.

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