warp.svd2

warp.svd2(

A: Matrix[2, 2, Float],

) → tuple[Matrix[2, 2, Float], Vector[2, Float], Matrix[2, 2, Float]]

Kernel

Differentiable

Compute the SVD of a 2x2 matrix A. The singular values are returned in sigma,

while the left and right basis vectors are returned in U and V.

warp.svd2(

A: Matrix[2, 2, Float],

U: Matrix[2, 2, Float],

sigma: Vector[2, Float],

V: Matrix[2, 2, Float],

) → None

Kernel

Differentiable

Compute the SVD of a 2x2 matrix A. The singular values are returned in sigma,

while the left and right basis vectors are returned in U and V.