array

In computer science an array is a data structure consisting of a group of elements that are accessed by indexing. In most programming languages each element has the same data type and the array occupies a contiguous area of storage. Most programming languages have a built-in array data type.

Some programming languages support array programming (e.g., APL, newer versions of Fortran) which generalizes operations and functions to work transparently over arrays as they do with scalars, instead of requiring looping over array members.

Multi-dimensional arrays are accessed using more than one index: one for each dimension.

Arrays can be classified as fixed-sized arrays (sometimes known as static arrays) whose size cannot change once their storage has been allocated, or dynamic arrays, which can be resized.

Applications

Because of their performance characteristics, arrays are used to implement other data structures, such as heaps, hash tables, deques, queues, stacks, strings, and VLists.

Some algorithms store a variable number of elements in part of a fixed-size array, which is equivalent to using dynamic array with a fixed capacity. See dynamic array for details.

Associative arrays provide a mechanism for array-like functionality without huge storage overheads when the index values are sparse. Specialized associative arrays with integer keys include Patricia tries and Judy arrays.

Indexing

Main article: Index (information technology)

The valid index values of each dimension of an array are a bounded set of integers. Programming environments that check indexes for validity are said to perform bounds checking.

Index of the first element

The index of the first element varies by language. There are three main implementations: zero-based, one-based, and n-based arrays, for which the first element has an index of zero, one, or a programmer-specified value. The zero-based array was made popular by the C programming language, in which the abstraction of array is very weak, and an index n of an array is simply the address of the first element offset by n units. One-based arrays are based on traditional mathematics notation. n-based is made available so the programmer is free to choose the lower bound which is best suited for the problem at hand.

There is a list of programming languages at the end of the article.

In 1982 Edsger W. Dijkstra wrote a document, Why numbering should start at zero.

Supporters of zero-based indexing often incorrectly criticise one-based and n-based arrays for being slower. However, a one-based or n-based array access can be optimized with common subexpression elimination or with a well-defined dope vector.

The 0-based/1-based debate is not limited to just programming languages. For example, the ground-floor of a building is elevator button "0" in France, but elevator button "1" in the USA.

Multi-dimensional arrays

Ordinary arrays are indexed by a single integer. Also useful, particularly in numerical and graphics applications, is the concept of a multi-dimensional array, in which we index into the array using an ordered list of integers, such as in a[3,1,5]. The number of integers in the list used to index into the multi-dimensional array is always the same and is referred to as the array's dimensionality, and the bounds on each of these are called the array's dimensions. An array with dimensionality k is often called k-dimensional. One-dimensional arrays correspond to the simple arrays discussed thus far; two-dimensional arrays are a particularly common representation for matrices. In practice, the dimensionality of an array rarely exceeds three. Mapping a one-dimensional array into memory is obvious, since memory is logically itself a (very large) one-dimensional array. When we reach higher-dimensional arrays, however, the problem is no longer obvious. Suppose we want to represent this simple two-dimensional array:

It is most common to index this array using the RC-convention, where elements are referred in row, column fashion or , such as:

Common ways to index into multi-dimensional arrays include:

• Row-major order. Used most notably by statically-declared arrays in C. The elements of each row are stored in order.

• Column-major order. Used most notably in Fortran. The elements of each column are stored in order.

• Arrays of arrays. Multi-dimensional arrays are typically represented by one-dimensional arrays of references (Iliffe vectors) to other one-dimensional arrays. The subarrays can be either the rows or columns.

The first two forms are more compact and have potentially better locality of reference, but are also more limiting; the arrays must be rectangular, meaning that no row can contain more elements than any other. Arrays of arrays, on the other hand, allow the creation of ragged arrays, also called jagged arrays, in which the valid range of one index depends on the value of another, or in this case, simply that different rows can be different sizes. Arrays of arrays are also of value in programming languages that only supply one-dimensional arrays as primitives.

In many applications, such as numerical applications working with matrices, we iterate over rectangular two-dimensional arrays in predictable ways. For example, computing an element of the matrix product AB involves iterating over a row of A and a column of B simultaneously. In mapping the individual array indexes into memory, we wish to exploit locality of reference as much as we can. A compiler can sometimes automatically choose the layout for an array so that sequentially accessed elements are stored sequentially in memory; in our example, it might choose row-major order for A, and column-major order for B. Even more exotic orderings can be used, for example if we iterate over the main diagonal of a matrix.

Array system cross-reference list

See also

• Array slicing
• Collection class
• Parallel array
• Set (computer science)
• Sparse array
• wikibooks:Data Structures/Arrays
• wikibooks:Ada Programming/Types/array

External link

• NIST's Dictionary of Algorithms and Data Structures: Array

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