warp.svd2

warp.svd2(

A: Matrix[Literal[2], Literal[2], Float],

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

U: Matrix[Literal[2], Literal[2], Float],

sigma: Vector[Literal[2], Float],

V: Matrix[Literal[2], Literal[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.