Singly-Linked List
... Singly-Linked List (can only traverse forward) Doubly-Linked List (can traverse in reverse too) Circular Linked Lists Multi-Linked Lists etc. ...
... Singly-Linked List (can only traverse forward) Doubly-Linked List (can traverse in reverse too) Circular Linked Lists Multi-Linked Lists etc. ...
B+-Trees
... the root has between 2 and M children or at most L keys/values other internal nodes have between M/2 and M children internal nodes contain only search keys (no data) smallest datum between search keys x and y equals x each (non-root) leaf contains between L/2 and L keys/values all leaves are at ...
... the root has between 2 and M children or at most L keys/values other internal nodes have between M/2 and M children internal nodes contain only search keys (no data) smallest datum between search keys x and y equals x each (non-root) leaf contains between L/2 and L keys/values all leaves are at ...
A Contention-Friendly Binary Search Tree
... contention and speed up concurrent operations that access (or modify) the abstraction. More specifically, we propose a partially internal binary search tree data structure implementing a key-value store, decoupling the operations that modify the abstraction (we call these abstract operations) from o ...
... contention and speed up concurrent operations that access (or modify) the abstraction. More specifically, we propose a partially internal binary search tree data structure implementing a key-value store, decoupling the operations that modify the abstraction (we call these abstract operations) from o ...
Collection
... The Enhanced For-Each Statement • Suppose collection is an instance of a Collection. Then for (Object o : collection) ...
... The Enhanced For-Each Statement • Suppose collection is an instance of a Collection. Then for (Object o : collection) ...
Cache-Oblivious Priority Queue and Graph Algorithm
... 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 ...
2. Non-Linear Data Structure: - In non linear data
... Data structure: In computer science, a data structure is a particular way of storing and organizing data in a computer so that it can be used efficiently. Different kinds of data structures are suited to different kinds of applications, and some are highly specialized to specific tasks. Data struct ...
... Data structure: In computer science, a data structure is a particular way of storing and organizing data in a computer so that it can be used efficiently. Different kinds of data structures are suited to different kinds of applications, and some are highly specialized to specific tasks. Data struct ...
Starting Out with C++, 3 rd Edition
... • It is also true that all the nodes to the left of a node hold values less than the node's value. Likewise, all the nodes to the right of a node hold values that are greater than the node's data. • When an application is searching a binary tree, it starts at the root node. If the root node does no ...
... • It is also true that all the nodes to the left of a node hold values less than the node's value. Likewise, all the nodes to the right of a node hold values that are greater than the node's data. • When an application is searching a binary tree, it starts at the root node. If the root node does no ...
Prefix Based Numbering Schemes for XML: Techniques
... Many XML applications handle dynamic data that are frequently updated or queried via XPath or XQuery. With the amount of available data, it is not always possible to determine in advance the size of the data and the number of updates. So, both interval and bit-vector schemes are not appropriate for ...
... Many XML applications handle dynamic data that are frequently updated or queried via XPath or XQuery. With the amount of available data, it is not always possible to determine in advance the size of the data and the number of updates. So, both interval and bit-vector schemes are not appropriate for ...
HenzingerK95 (pdf, 941 KiB)
... For nodes z and U , n,(x) denotes the neighbor of x on T(u,x). The weight w ( T ) of a tree T of F is the number of nontree edges incident t o the nodes of T, where edges whose both endpoints lie in T are counted twice. The size s i z e ( T ) is the number of nodes in T. A block is a maximal set of ...
... For nodes z and U , n,(x) denotes the neighbor of x on T(u,x). The weight w ( T ) of a tree T of F is the number of nontree edges incident t o the nodes of T, where edges whose both endpoints lie in T are counted twice. The size s i z e ( T ) is the number of nodes in T. A block is a maximal set of ...
Lecture 3 Linear Data Structures
... expect, in order to force arbitrary data into a storage area (a "buffer") so the amount of data forced into the buffer goes beyond the expected limits, causing the data to overflow the buffer and makes it possible for that data to be executed as arbitrary program code. Since the attacker forces code ...
... expect, in order to force arbitrary data into a storage area (a "buffer") so the amount of data forced into the buffer goes beyond the expected limits, causing the data to overflow the buffer and makes it possible for that data to be executed as arbitrary program code. Since the attacker forces code ...
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.