# jax.numpy.sqrtÂ¶

jax.numpy.sqrt(x)Â¶

Return the non-negative square-root of an array, element-wise.

LAX-backend implementation of sqrt(). Original docstring below.

sqrt(x, /, out=None, *, where=True, casting=â€™same_kindâ€™, order=â€™Kâ€™, dtype=None, subok=True[, signature, extobj])

Parameters

x (array_like) â€“ The values whose square-roots are required.

Returns

y â€“ An array of the same shape as x, containing the positive square-root of each element in x. If any element in x is complex, a complex array is returned (and the square-roots of negative reals are calculated). If all of the elements in x are real, so is y, with negative elements returning nan. If out was provided, y is a reference to it. This is a scalar if x is a scalar.

Return type

ndarray

lib.scimath.sqrt()

A version which returns complex numbers when given negative reals.

Notes

sqrt hasâ€“consistent with common conventionâ€“as its branch cut the real â€śintervalâ€ť [-inf, 0), and is continuous from above on it. A branch cut is a curve in the complex plane across which a given complex function fails to be continuous.

Examples

>>> np.sqrt([1,4,9])
array([ 1.,  2.,  3.])

>>> np.sqrt([4, -1, -3+4J])
array([ 2.+0.j,  0.+1.j,  1.+2.j])

>>> np.sqrt([4, -1, np.inf])
array([ 2., nan, inf])