Binomial Heaps and Skew Binomial Heaps
نویسندگان
چکیده
We implement and prove correct binomial heaps and skew binomial heaps. Both are data-structures for priority queues. While binomial heaps have logarithmic findMin, deleteMin, insert, and meld operations, skew binomial heaps have constant time findMin, insert, and meld operations, and only the deleteMin-operation is logarithmic. This is achieved by using skew links to avoid cascading linking on insert-operations, and data-structural bootstrapping to get constanttime findMin and meld operations. Our implementation follows the paper of Brodal and Okasaki [1].
منابع مشابه
A simpler implementation and analysis of Chazelle's soft heaps
Chazelle (JACM 47(6), 2000) devised an approximate meldable priority queue data structure, called Soft Heaps, and used it to obtain the fastest known deterministic comparison-based algorithm for computing minimum spanning trees, as well as some new algorithms for selection and approximate sorting problems. If n elements are inserted into a collection of soft heaps, then up to εn of the elements...
متن کاملHeaps Simplified
The heap is a basic data structure used in a wide variety of applications, including shortest path and minimum spanning tree algorithms. In this paper we explore the design space of comparison-based, amortized-efficient heap implementations. From a consideration of dynamic single-elimination tournaments, we obtain the binomial queue, a classical heap implementation, in a simple and natural way....
متن کاملParallel priority queues based on binomial heaps q
We present an optimal parallel implementation of a meldable priority queue based on the binomial heap data structure. Our main result is an interesting application of the parallel computation of carry bits in a full adder logic to binomial heaps, thus optimizing the parallel time complexity of the Union (often called melding) of two queues. The Union operation as well as Insert, Min, Extract-Mi...
متن کاملSkew Heap
Skew heaps are an amazingly simple and lightweight implementation of priority queues. They were invented by Sleator and Tarjan [1] and have logarithmic amortized complexity. This entry provides executable and verified functional skew heaps. The amortized complexity of skew heaps is analyzed in the AFP entry Amortized Complexity.
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Archive of Formal Proofs
دوره 2010 شماره
صفحات -
تاریخ انتشار 2010