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Fibonacci Heaps - Princeton University

COS 423 Theory of Algorithms Kevin Wayne Spring 2007 Fibonacci HeapsLecture slides adapted from: Chapter 20 of Introduction to Algorithms by Cormen, Leiserson, Rivest, and Stein. Chapter 9 of The Design and Analysis of Algorithms by Dexter Starting from empty Fibonacci heap, any sequence ofa1 insert, a2 delete-min, and a3 decrease-key operations takesO(a1 + a2 log n + a3) n1log nnlog nlog n1 BinomialHeaplog nlog nlog nlog nlog nlog n1 FibonacciHeap 11log n11log n1 RelaxedHeap11log n11log n1 LinkedList1nn1nnis-empty11111 Priority Queues Performance Cost Summary amortizedn = number of elements in priority queue3 Hopeless challenge. O(1) insert, delete-min and decrease-key. Why?Priority Queues Performance Cost Summarymake-heapOperationinsertfind-mind elete-minuniondecrease-keydelete1 BinaryHeaplog n1log nnlog nlog n1 BinomialHeaplog nlog nlog nlog nlog nlog n1 FibonacciHeap 11log n11log n1 RelaxedHeap11log n11log n1 LinkedList1nn1nnis-empty11111 amortizedn = number of elements in priority queue4 Fibonacci HeapsHistory.

5 23 7 30 17 35 26 46 24 Heap 39 18 52 41 3 44 Fibonacci Heaps: Structure Fibonacci heap.! Set of heap-ordered trees.! Maintain pointer to minimum element.

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