mindsponge.common.vecs_cross_vecs

mindsponge.common.vecs_cross_vecs(v1, v2)[source]

Cross product of vectors \(v_1 = (x_1, x_2, x_3)\) and \(v_2 = (y_1, y_2, y_3)\).

\[cross_{res} = (x_2 * y_3 - x_3 * y_2, x_3 * y_1 - x_1 * y_3, x_1 * y_2 - x_2 * y_1)\]

Parameters

v1 (tuple) – vectors \(\vec v_1\) , length is 3. Data type is constant or Tensor with same shape.
v2 (tuple) – vectors \(\vec v_2\) , length is 3. Data type is constant or Tensor with same shape.

Returns

tuple, cross product result of two vectors, length is 3.: Data type is constant or Tensor with same shape.

Examples

>>> import mindsponge
>>> v1 = (1, 2, 3)
>>> v2 = (3, 4, 5)
>>> ans = mindsponge.common.vecs_cross_vecs(v1, v2)
>>> print(ans)
(-2, 4, -2)