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Create an iterator which iteratively evaluates the Dirac delta function.
npm install @stdlib/math-iter-special-dirac-deltaAlternatively,
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var iterDiracDelta = require( '@stdlib/math-iter-special-dirac-delta' );Returns an iterator which iteratively evaluates the Dirac delta function.
var array2iterator = require( '@stdlib/array-to-iterator' );
var it = iterDiracDelta( array2iterator( [ 2.0, 0.0, -1.0 ] ) );
// returns <Object>
var r = it.next().value;
// returns 0.0
r = it.next().value;
// returns Infinity
r = it.next().value;
// returns 0.0
// ...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
valueproperty and adoneproperty having abooleanvalue 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 aniteratorwhich type checks and handles non-numeric values accordingly. - If an environment supports
Symbol.iteratorand a provided iterator is iterable, the returned iterator is iterable.
var uniform = require( '@stdlib/random-iter-uniform' );
var iterDiracDelta = require( '@stdlib/math-iter-special-dirac-delta' );
// Create a seeded iterator for generating pseudorandom numbers:
var rand = uniform( -2.0, 2.0, {
'seed': 1234,
'iter': 10
});
// Create an iterator which consumes the pseudorandom number iterator:
var it = iterDiracDelta( rand );
// Perform manual iteration...
var r;
while ( true ) {
r = it.next();
if ( r.done ) {
break;
}
console.log( r.value );
}@stdlib/math-base/special/dirac-delta: evaluate the Dirac delta function.
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.
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