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This is a list of well-known data structures. For a wider list of terms, see list of terms relating to algorithms and data structures. For a comparison of running times for a subset of this list see comparison of data structures.
A data structure known as a hash table.. In computer science, a data structure is a data organization and storage format that is usually chosen for efficient access to data. [1] [2] [3] More precisely, a data structure is a collection of data values, the relationships among them, and the functions or operations that can be applied to the data, [4] i.e., it is an algebraic structure about data.
A (max) heap is a tree-based data structure which satisfies the heap property: for any given node C, if P is a parent node of C, then the key (the value) of P is greater than or equal to the key of C. In addition to the operations of an abstract priority queue, the following table lists the complexity of two additional logical operations:
A node is a basic unit of a data structure, such as a linked list or tree data structure. Nodes contain data and also may link to other nodes. Links between nodes are often implemented by pointers. In graph theory, the image provides a simplified view of a network, where each of the numbers represents a different node.
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, stacks, queues, associative arrays, and S-expressions, though it is not uncommon to implement those data structures directly without using a linked list as the basis.
Definition: Split (i, S): split the string S into two new strings S 1 and S 2, S 1 = C 1, ..., C i and S 2 = C i + 1, ..., C m. Time complexity: () There are two cases that must be dealt with: The split point is at the end of a string (i.e. after the last character of a leaf node) The split point is in the middle of a string.
A singly-linked list structure, implementing a list with three integer elements. The term list is also used for several concrete data structures that can be used to implement abstract lists, especially linked lists and arrays. In some contexts, such as in Lisp programming, the term list may refer specifically to a linked list rather than an array.
By using pointers, you can access and modify data located in memory, pass data efficiently between functions, and create dynamic data structures like linked lists, trees, and graphs. In simpler terms, you can think of a pointer as an arrow that points to a specific spot in a computer's memory, allowing you to interact with the data stored at ...