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Create an iterator which computes the Fresnel integral S(x) for each iterated value.
npm install @stdlib/math-iter-special-fresnels
Alternatively,
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var iterFresnels = require( '@stdlib/math-iter-special-fresnels' );
Returns an iterator which iteratively computes the Fresnel integral S(x).
var array2iterator = require( '@stdlib/array-to-iterator' );
var it = iterFresnels( array2iterator( [ 0.0, 1.0 ] ) );
// returns <Object>
var v = it.next().value;
// returns 0.0
v = it.next().value;
// returns ~0.438
// ...
The returned iterator protocol-compliant object has the following properties:
- next: function which returns an iterator protocol-compliant object containing the next iterated value (if one exists) assigned to a
value
property and adone
property having aboolean
value indicating whether the iterator is finished. - return: function which closes an iterator and returns a single (optional) argument in an iterator protocol-compliant object.
- If an iterated value is non-numeric (including
NaN
), the returned iterator returnsNaN
. If non-numeric iterated values are possible, you are advised to provide aniterator
which type checks and handles non-numeric values accordingly. - If an environment supports
Symbol.iterator
and a provided iterator is iterable, the returned iterator is iterable.
var uniform = require( '@stdlib/random-iter-uniform' );
var iterFresnels = require( '@stdlib/math-iter-special-fresnels' );
// Create a seeded iterator for generating pseudorandom numbers:
var rand = uniform( 0.0, 10.0, {
'seed': 1234,
'iter': 10
});
// Create an iterator which consumes the pseudorandom number iterator:
var it = iterFresnels( rand );
// Perform manual iteration...
var v;
while ( true ) {
v = it.next();
if ( v.done ) {
break;
}
console.log( v.value );
}
@stdlib/math-base/special/fresnels
: compute the Fresnel integral S(x).@stdlib/math-iter/special/fresnelc
: create an iterator which computes the Fresnel integral C(x) for each iterated value.
This package is part of stdlib, a standard library for JavaScript and Node.js, with an emphasis on numerical and scientific computing. The library provides a collection of robust, high performance libraries for mathematics, statistics, streams, utilities, and more.
For more information on the project, filing bug reports and feature requests, and guidance on how to develop stdlib, see the main project repository.
See LICENSE.
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