"In computer science, an array is a data structure consisting of a collection of elements (values or variables), of same memory size, each identified by at least one array index or key."
A data structure that stores a collection of elements, each identified by an array index or a key. Understanding arrays is essential for many other data structures, as well as algorithms for searching, sorting and manipulating them.
Introduction to Arrays: Understanding the basic concept of arrays, syntax, and declaration.
Types of Arrays: One-dimensional arrays, two-dimensional arrays, and multi-dimensional arrays.
Array Operations: Accessing array elements, changing array elements, inserting and deleting elements, and finding the length of an array.
Sorting Algorithms: Bubble sort, selection sort, insertion sort, quicksort, and merge sort.
Searching Algorithms: Linear search, binary search.
Dynamic Arrays: Understanding dynamic memory allocation, dynamic arrays, and dynamic resizing of arrays.
Time and Space Complexity of Arrays: Understanding the worst-case, best-case, and average-case time complexity of array operations.
Applications of Arrays: In computer science, arrays are used to store collections of data that are similar in type.
Implementing Arrays in Programming Languages: How arrays are implemented in programming languages such as C, C++, Java, Python, and Ruby.
Multidimensional Arrays: Matrices, tensors, and other types of multidimensional arrays.
Parallel Arrays: Using multiple arrays to store related information together.
Arrays and Strings: Using arrays to store and manipulate character strings.
Array List Data Structures: Understanding ArrayLists, Vectors, and other list-based data structures.
Stack and Queue Data Structures: Understanding stacks and queues, which are both based on array-like data structures.
Hash Tables: Understanding the use of arrays to implement hash tables, which are often used in programming for fast key-value lookups.
Static Array: A fixed length array that is defined at compilation time and cannot be resized at runtime.
Dynamic Array: An array that grows or shrinks in size at runtime as required.
2D Array: An array with two dimensions for representing tables, grids or matrices.
Jagged Array: A 2D array where each row can have a different number of columns, providing flexibility for certain applications.
Sparse Array: An array where most of the elements are zero, which can be useful for large matrices where most of the elements are not needed.
Circular Buffer Array: An array where the beginning and the end are connected, forming a loop, which allows for efficient insertion and removal at both ends.
Associative Array: An array where elements are accessed by keys instead of numeric indices. Also known as a Map or Dictionary.
Hash Table: A data structure that uses a hash function to map keys to indices in an array, allowing for fast lookups and inserts with O(1) complexity in most cases.
Priority Queue: A data structure that stores elements in order based on a priority value, allowing for efficient insertion and removal of the highest priority element.
Bit Array: An array where each element is represented as a bit, typically used for storing a set of flags or for counting occurrences of certain events.
Parallel Array: Multiple arrays of the same length, with each element of a given index representing a separate piece of information.
Linked List: A data structure where each element (node) contains a value and a pointer to the next element, allowing for efficient insertion and removal at any position.
Stack: A data structure that follows a Last-In-First-Out (LIFO) policy, allowing for efficient insertion and removal at one end.
Queue: A data structure that follows a First-In-First-Out (FIFO) policy, allowing for efficient insertion and removal at opposite ends.
Deque: A data structure that allows for insertion and removal at both ends, providing flexibility for certain applications.
"An array is stored such that the position of each element can be computed from its index tuple by a mathematical formula."
"The simplest type of data structure is a linear array, also called one-dimensional array."
"For example, an array of ten 32-bit (4-byte) integer variables, with indices 0 through 9, may be stored as ten words at memory addresses 2000, 2004, 2008, ..., 2036, (in hexadecimal: 0x7D0, 0x7D4, 0x7D8, ..., 0x7F4) so that the element with index i has the address 2000 + (i × 4)."
"The memory address of the first element of an array is called first address, foundation address, or base address."
"Because the mathematical concept of a matrix can be represented as a two-dimensional grid, two-dimensional arrays are also sometimes called 'matrices'."
"Tables are often implemented in the form of arrays, especially lookup tables; the word 'table' is sometimes used as a synonym of array."
"Arrays are among the oldest and most important data structures, and are used by almost every program."
"They effectively exploit the addressing logic of computers. In most modern computers and many external storage devices, the memory is a one-dimensional array of words, whose indices are their addresses."
"Among other things, this feature allows a single iterative statement to process arbitrarily many elements of an array."
"The elements of an array data structure are required to have the same size and should use the same data representation."
"Array types are often implemented by array structures; however, in some languages they may be implemented by hash tables, linked lists, search trees, or other data structures."
"The term is also used, especially in the description of algorithms, to mean associative array or 'abstract array', a theoretical computer science model (an abstract data type or ADT) intended to capture the essential properties of arrays."
"...each identified by at least one array index or key."
"The position of each element can be computed from its index tuple by a mathematical formula."
"The elements of an array data structure are required to have the same size and should use the same data representation. This feature allows a single iterative statement to process arbitrarily many elements of an array."
"Array types are often implemented by array structures; however, in some languages, they may be implemented by hash tables, linked lists, search trees, or other data structures."
"Arrays are among the oldest and most important data structures and are used by almost every program."
"Two-dimensional arrays are also sometimes called 'matrices'."
"The term 'array' may also refer to an array data type, a kind of data type provided by most high-level programming languages that consists of a collection of values or variables that can be selected by one or more indices computed at runtime."