fibonacci heap造句

• It is unknown whether the strict Fibonacci heap is efficient in practice.
• Notably, Fibonacci heap or Brodal queue offer optimal implementations for those 3 operations.
• The potential of a Fibonacci heap is given by
• For instance, Fibonacci heaps can be merged in O ( 1 ) time.
• Alternatively, a Fibonacci heap can perform the same decrease-priority operations in constant amortized time.
• They named Fibonacci heaps after the Fibonacci numbers, which are used in their running time analysis.
• For this reason Fibonacci heaps and other amortized data structures may not be appropriate for real-time systems.
• Additionally, it helps explain the time analysis of some operations in the binomial heap and Fibonacci heap data structures.
• Variants of the basic heap data structure such as pairing heaps or Fibonacci heaps can provide better bounds for some operations.
• A Leonardo heap resembles a Fibonacci heap in that it is made up of a collection of heap-ordered Leonardo trees.
• It is possible to create a data structure which has the same worst-case performance as the Fibonacci heap has amortized performance.
• The run-relaxed heaps of Driscoll et al . give good worst-case performance for all Fibonacci heap operations except merge.
• Similarly, the priority queue may be a binary heap or any other logarithmic-time priority queue; more sophisticated priority queues such as a Fibonacci heap are not necessary.
• Applications of Fibonacci numbers include computer algorithms such as the Fibonacci search technique and the Fibonacci heap data structure, and graphs called Fibonacci cubes used for interconnecting parallel and distributed systems.
• A Fibonacci heap is thus better than a binary or binomial heap when " b " is smaller than " a " by a non-constant factor.
• Other heaps such as Fibonacci heaps achieve most of these bounds without any corruption, but cannot provide a constant-time bound on the critical " delete " operation.
• By using the Fibonacci heap we can perform an ExtractMax operation in O ( \ log | V | ) amortized time and an IncreaseKey operation in O ( 1 ) amortized time.
• It is also possible to merge two Fibonacci heaps in constant amortized time, improving on the logarithmic merge time of a binomial heap, and improving on binary heaps which cannot handle merges efficiently.
• In computer science, a "'Fibonacci heap "'is a data structure for priority queue operations, consisting of a collection of Robert E . Tarjan developed Fibonacci heaps in 1984 and published them in a scientific journal in 1987.
• In computer science, a "'Fibonacci heap "'is a data structure for priority queue operations, consisting of a collection of Robert E . Tarjan developed Fibonacci heaps in 1984 and published them in a scientific journal in 1987.