The SprayList: A Scalable Relaxed Priority Queue
... Our presentation follows that of Fraser [15, 17], and we direct the reader to these references for a detailed presentation. General Structure. The data structure maintains an implementation of a set, defined by the bottom-level lock-free list. (Throughout this paper we will use the convention that t ...
... Our presentation follows that of Fraser [15, 17], and we direct the reader to these references for a detailed presentation. General Structure. The data structure maintains an implementation of a set, defined by the bottom-level lock-free list. (Throughout this paper we will use the convention that t ...
How to Keep Your Neighbours in Order
... I present a datatype-generic treatment of recursive container types whose elements are guaranteed to be stored in increasing order, with the ordering invariant rolled out systematically. Intervals, lists and binary search trees are instances of the generic treatment. On the journey to this treatment ...
... I present a datatype-generic treatment of recursive container types whose elements are guaranteed to be stored in increasing order, with the ordering invariant rolled out systematically. Intervals, lists and binary search trees are instances of the generic treatment. On the journey to this treatment ...
McBride-ICFP-2014-How-to-keep-your-neighbours-in
... functions, e.g., bounds-preserving operations. It is useful to be able to state that something holds at every index (i.e., ‘always works’). [ ] : {I : Set} → (I → Set) → Set [F ] = ∀{i } → F i With this apparatus, we can quite often talk about indexed things without mentioning the indices, resulting ...
... functions, e.g., bounds-preserving operations. It is useful to be able to state that something holds at every index (i.e., ‘always works’). [ ] : {I : Set} → (I → Set) → Set [F ] = ∀{i } → F i With this apparatus, we can quite often talk about indexed things without mentioning the indices, resulting ...
Dictionary
... time to skew the tree to the right — as we have seen this will make it less efficient. • Alternative: alternate between replacing with predecessor and successor. • In general, it is beneficial to try to keep the tree as “balanced” or “complete” as possible to maintain search efficiency. • There a ...
... time to skew the tree to the right — as we have seen this will make it less efficient. • Alternative: alternate between replacing with predecessor and successor. • In general, it is beneficial to try to keep the tree as “balanced” or “complete” as possible to maintain search efficiency. • There a ...
Lecture 3 Linear Data Structures
... • Array: a sequence of indexed components with the following properties: – array size is fixed at the time of array’s construction • int[] numbers = new int [10]; – array elements are placed contiguously in memory • address of any element can be calculated directly as its offset from the beginn ...
... • Array: a sequence of indexed components with the following properties: – array size is fixed at the time of array’s construction • int[] numbers = new int [10]; – array elements are placed contiguously in memory • address of any element can be calculated directly as its offset from the beginn ...
Techniques for Concurrent Access to Different Data Structure: A
... idea behind his new algorithm was to replaced the singlylinked list of Michael and Scott[ 6], whose pointers are inserted using a costly compare-and-swap (CAS) operation, by an “optimistic” doubly-linked list whose pointers are updated using a simple store, yet can be “fixed” if a bad ordering of ev ...
... idea behind his new algorithm was to replaced the singlylinked list of Michael and Scott[ 6], whose pointers are inserted using a costly compare-and-swap (CAS) operation, by an “optimistic” doubly-linked list whose pointers are updated using a simple store, yet can be “fixed” if a bad ordering of ev ...
Lecture Note 4
... only 2. • Z-curve has some “jumps” that we would like to avoid • Hilbert curve avoids the jumps : recursive definition ...
... only 2. • Z-curve has some “jumps” that we would like to avoid • Hilbert curve avoids the jumps : recursive definition ...
EE2204 DATA STRUCTURES AND ALGORITHM
... 3. Find (X) - Returns the position of X. 4. Next (i) - Returns the position of its successor element i+1. 5. Previous (i) - Returns the position of its predecessor i-1. 6. Print list - Contents of the list is displayed. 7. Makeempty - Makes the list empty. 2.1 .1 Implementation of List ADT 1. Array ...
... 3. Find (X) - Returns the position of X. 4. Next (i) - Returns the position of its successor element i+1. 5. Previous (i) - Returns the position of its predecessor i-1. 6. Print list - Contents of the list is displayed. 7. Makeempty - Makes the list empty. 2.1 .1 Implementation of List ADT 1. Array ...
Stacks Stack Abstract Data Type Stack (supporting methods) Stack
... isFirst() : return a Boolean indicating whether the given position is the first one isLast() : return a Boolean indicating whether the given position is the last one before() : return the position of the element in S preceding the one at position p; error if p is first after() : return the position ...
... isFirst() : return a Boolean indicating whether the given position is the first one isLast() : return a Boolean indicating whether the given position is the last one before() : return the position of the element in S preceding the one at position p; error if p is first after() : return the position ...
Laboratory 6: Binary trees I. THEORETICAL ASPECTS
... Usually, when we have two equivalent nodes, p1 is incremented (or processed in a specific way) and p2 is eliminated. To achieve such processing is necessary to call a function that takes as parameters the pointers p1 and p2, and returns a NOD type pointer (usually returns the value of p1 after delet ...
... Usually, when we have two equivalent nodes, p1 is incremented (or processed in a specific way) and p2 is eliminated. To achieve such processing is necessary to call a function that takes as parameters the pointers p1 and p2, and returns a NOD type pointer (usually returns the value of p1 after delet ...
Linked list
In computer science, a linked list is a data structure consisting of a group of nodes which together represent a sequence. Under the simplest form, each node is composed of data and a reference (in other words, a link) to the next node in the sequence; more complex variants add additional links. This structure allows for efficient insertion or removal of elements from any position in the sequence.Linked lists are among the simplest and most common data structures. They can be used to implement several other common abstract data types, including lists (the abstract data type), stacks, queues, associative arrays, and S-expressions, though it is not uncommon to implement the other data structures directly without using a list as the basis of implementation.The principal benefit of a linked list over a conventional array is that the list elements can easily be inserted or removed without reallocation or reorganization of the entire structure because the data items need not be stored contiguously in memory or on disk, while an array has to be declared in the source code, before compiling and running the program. Linked lists allow insertion and removal of nodes at any point in the list, and can do so with a constant number of operations if the link previous to the link being added or removed is maintained during list traversal.On the other hand, simple linked lists by themselves do not allow random access to the data, or any form of efficient indexing. Thus, many basic operations — such as obtaining the last node of the list (assuming that the last node is not maintained as separate node reference in the list structure), or finding a node that contains a given datum, or locating the place where a new node should be inserted — may require sequential scanning of most or all of the list elements. The advantages and disadvantages of using linked lists are given below.