Comparison of programming languages (array): Difference between revisions

Revision as of 04:08, 31 December 2022

Revision as of 19:46, 11 February 2023

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Some compiled languages such as [[Ada (programming language)|Ada]] and [[Fortran]], and some scripting languages such as [[IDL (programming language)|IDL]], [[MATLAB]], and [[S-Lang (programming library)|S-Lang]], have native support for vectorized operations on arrays. For example, to perform an element by element sum of two arrays, {{Mono|a}} and {{Mono|b}} to produce a third {{Mono|c}}, it is only necessary to write

c = a + b

In addition to support for vectorized arithmetic and relational operations, these languages also vectorize common mathematical functions such as sine. For example, if {{Mono|x}} is an array, then

y = sin (x)

will result in an array {{Mono|y}} whose elements are sine of the corresponding elements of the array {{Mono|x}}.

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Vectorized index operations are also supported. As an example,

<syntaxhighlight lang="fortran">

even = x(2::2);

odd = x(::2);

</syntaxhighlight>

is how one would use [[Fortran]] to create arrays from the even and odd entries of an array. Another common use of vectorized indices is a filtering operation. Consider a clipping operation of a sine wave where amplitudes larger than 0.5 are to be set to 0.5. Using [[S-Lang (programming library)|S-Lang]], this can be done by

y = sin(x);

y[where(abs(y)>0.5)] = 0.5;

=== Mathematical matrix operations ===