numpoly.argmin

numpoly.argmin(a: numpoly.typing.PolyLike, axis: Optional[int] = None, out: Optional[numpy.ndarray] = None) → Any

Return the indices of the minimum values along an axis.

As polynomials are not inherently sortable, values are sorted using the highest lexicographical ordering. Between the values that have the same highest ordering, the elements are sorted using the coefficients. This also ensures that the method behaves as expected with numpy.ndarray.

Args:

a:

Input array.

axis:

By default, the index is into the flattened array, otherwise along the specified axis.

out:

If provided, the result will be inserted into this array. It should be of the appropriate shape and dtype.

Return:

Array of indices into the array. It has the same shape as a.shape with the dimension along axis removed.

Note:

In case of multiple occurrences of the minimum values, the indices corresponding to the first occurrence are returned.

Example:

>>> q0, q1 = numpoly.variable(2)
>>> numpoly.argmin([13, 7])
1
>>> numpoly.argmin([1, q0, q0**2, q1])
0
>>> numpoly.argmin([q0*q1, q0, q1])
1
>>> numpoly.argmin([[3*q0**2, q0**2], [2*q0**2, 4*q0**2]], axis=0)
array([1, 0])