mindsponge.common.rots_mul_vecs

mindsponge.common.rots_mul_vecs(m, v)[source]

Apply rotations $\vec{m} = (m_{0}, m_{1}, m_{2}, m_{3}, m_{4}, m_{5}, m_{6}, m_{7}, m_{8})$ to vectors $\vec{v} = (v_{0}, v_{1}, v_{2})$ .

o u t = m \cdot v^{T} = (m_{0} \times v_{0} + m_{1} \times v_{1} + m_{2} \times v_{2}, m_{3} \times v_{0} + m_{4} \times v_{1} + m_{5} \times v_{2}, m_{6} \times v_{0} + m_{7} \times v_{1} + m_{8} \times v_{2})

Parameters

m (tuple) – rotations $\vec{m}$ , length is 9. Data type is constant or Tensor with same shape.
v (tuple) – vectors $\vec{v}$ , length is 3. Data type is constant or Tensor with same shape.

Returns

tuple, vectors after rotations.

Examples

>>> import mindsponge
>>> m = (1, 2, 3, 4, 5, 6, 7, 8, 9)
>>> v = (1, 2, 3)
>>> v1 = mindsponge.common.rots_mul_vecs(m, v)
>>> print(v1)
(14, 32, 50)