In computer science, a linked data structure is a data structure which consists of a set of data records (nodes) linked together and organized by references (links or pointers). The link between data can also be called a connector.
In linked data structures, the links are usually treated as special data types that can only be dereferenced or compared for equality. Linked data structures are thus contrasted with arrays and other data structures that require performing arithmetic operations on pointers. This distinction holds even when the nodes are actually implemented as elements of a single array, and the references are actually array indices: as long as no arithmetic is done on those indices, the data structure is essentially a linked one.
Linking can be done in two ways - using dynamic allocation and using array index linking.
Linked data structures include linked lists, search trees, expression trees, and many other widely used data structures. They are also key building blocks for many efficient algorithms, such as topological sort and set union-find.
A linked list is a collection of structures ordered not by their physical placement in memory but by logical links that are stored as part of the data in the structure itself. It is not necessary that it should be stored in the adjacent memory locations. Every structure has a data field and an address field. The Address field contains the address of its successor.
Linked list can be singly, doubly or multiply linked and can either be linear or circular.
Basic properties
Objects, called nodes, are linked in a linear sequence.
A reference to the first node of the list is always kept. This is called the 'head' or 'front'.
A linked list with three nodes contain two fields each: an integer value and a link to the next node
This is an example of the node class used to store integers in a Java implementation of a linked list:
public class IntNode {
public int value;
public IntNode link;
public IntNode(int v) { value = v; }
}
This is an example of the structure used for implementation of linked list in C:
struct node
{
int val;
struct node *next;
};
This is an example using typedefs:
typedef struct node node;
struct node
{
int val;
node *next;
};
Note: A structure like this which contains a member that points to the same structure is called a self-referential structure.
This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.
The students learn the theory and practice of basic concepts and techniques in algorithms. The course covers mathematical induction, techniques for analyzing algorithms, elementary data structures, ma
In computer science and computer programming, a data type (or simply type) is a collection or grouping of data values, usually specified by a set of possible values, a set of allowed operations on these values, and/or a representation of these values as machine types. A data type specification in a program constrains the possible values that an expression, such as a variable or a function call, might take. On literal data, it tells the compiler or interpreter how the programmer intends to use the data.
Introduces SuSLik, a program synthesizer generating safe low-level programs from logical specifications, showcasing its capabilities in handling linked data structures.
Background: Increasingly, hospitals and research institutes are developing technical solutions for sharing patient data in a privacy preserving manner. Two of these technical solutions are homomorphic encryption and distributed ledger technology. Homomorph ...
Systems modelling and simulation are two important facets for thoroughly and effectively analysing manufacturing processes. The ever-growing complexity of the latter, the increasing amount of knowledge, and the use of Semantic Web techniques adhering meani ...
As it has become easier and cheaper to collect big datasets in the last few decades, designing efficient and low-cost algorithms for these datasets has attracted unprecedented attention. However, in most applications, even storing datasets as acquired has ...