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warp.svd2#

warp.svd2(
A: Matrix[Float, Literal[2], Literal[2]],
) → tuple[Matrix[Float, Literal[2], Literal[2]], Vector[Float, Literal[2]], Matrix[Float, Literal[2], Literal[2]]]#

  • 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[Float, Literal[2], Literal[2]],
U: Matrix[Float, Literal[2], Literal[2]],
sigma: Vector[Float, Literal[2]],
V: Matrix[Float, Literal[2], Literal[2]],
) → 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.