jiangchengfeiyi-xiaochengxu/node_modules/mathjs/lib/esm/function/matrix/matrixFromFunction.js
2025-04-05 16:12:09 +08:00

107 lines
4.5 KiB
JavaScript

import { factory } from '../../utils/factory.js';
var name = 'matrixFromFunction';
var dependencies = ['typed', 'matrix', 'isZero'];
export var createMatrixFromFunction = /* #__PURE__ */factory(name, dependencies, _ref => {
var {
typed,
matrix,
isZero
} = _ref;
/**
* Create a matrix by evaluating a generating function at each index.
* The simplest overload returns a multi-dimensional array as long as `size`
* is an array.
* Passing `size` as a Matrix or specifying a `format` will result in
* returning a Matrix.
*
* Syntax:
*
* math.matrixFromFunction(size, fn)
* math.matrixFromFunction(size, fn, format)
* math.matrixFromFunction(size, fn, format, datatype)
* math.matrixFromFunction(size, format, fn)
* math.matrixFromFunction(size, format, datatype, fn)
*
* Where:
*
* - `size: (number[] | Matrix)`
* A vector giving the extent of the array to be created in each
* dimension. If size has one entry, a vector is created; if it
* has two, a rectangular array/Matrix is created; if three, a
* three-dimensional array/Matrix is created; and so on.
* - `fn: (index: number[]) => MathType`
* The callback function that will generate the entries of the
* matrix. It is called in turn with the index of each entry of
* the matrix. The index is always an ordinary array of numbers
* with the same length as _size_. So for vectors, you will get
* indices like `[0]` or `[1]`, whereas for matrices, you will
* get indices like `[2, 0]` or `[1,3]`. The return value may
* be any type that can go in an array or Matrix entry, although
* if you supply the _datatype_ argument, you must yourself ensure
* the type of the return value matches. Note that currently,
* your callback _fn_ will receive 0-based indices for the matrix
* entries, regardless of whether matrixFromFunction is invoked
* directly from JavaScript or via the mathjs expression language.
* - `format: 'dense'|'sparse'`
* Specifies the storage format for the resulting Matrix. Note that
* if this argument is given, the return value will always be a
* Matrix (rather than possibly an Array).
* - `datatype: string`
* Specifies the data type of entries of the new matrix. If given,
* it should be the name of a data type that mathjs supports, as
* returned by the math.typeOf function. It is up to the caller
* to make certain that all values returned by _fn_ are consistent
* with this datatype if specified.
*
* Examples:
*
* math.matrixFromFunction([3,3], i => i[0] - i[1]) // an antisymmetric matrix
* math.matrixFromFunction([100, 100], 'sparse', i => i[0] - i[1] === 1 ? 4 : 0) // a sparse subdiagonal matrix
* math.matrixFromFunction([5], i => math.random()) // a random vector
*
* See also:
*
* matrix, typeOf, zeros
*
* @param {Array | Matrix} size The size of the matrix to be created
* @param {function} fn Callback function invoked for every entry in the matrix
* @param {string} [format] The Matrix storage format, either `'dense'` or `'sparse'`
* @param {string} [datatype] Type of the values
* @return {Array | Matrix} Returns the created matrix
*/
return typed(name, {
'Array | Matrix, function, string, string': function Array__Matrix_function_string_string(size, fn, format, datatype) {
return _create(size, fn, format, datatype);
},
'Array | Matrix, function, string': function Array__Matrix_function_string(size, fn, format) {
return _create(size, fn, format);
},
'Matrix, function': function Matrix_function(size, fn) {
return _create(size, fn, 'dense');
},
'Array, function': function Array_function(size, fn) {
return _create(size, fn, 'dense').toArray();
},
'Array | Matrix, string, function': function Array__Matrix_string_function(size, format, fn) {
return _create(size, fn, format);
},
'Array | Matrix, string, string, function': function Array__Matrix_string_string_function(size, format, datatype, fn) {
return _create(size, fn, format, datatype);
}
});
function _create(size, fn, format, datatype) {
var m;
if (datatype !== undefined) {
m = matrix(format, datatype);
} else {
m = matrix(format);
}
m.resize(size);
m.forEach(function (_, index) {
var val = fn(index);
if (isZero(val)) return;
m.set(index, val);
});
return m;
}
});