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Rotation Matrices in Motion.

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The Math Flow

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145,261 просмотров • 3 месяцев назад •via X (Twitter)

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Singular Value Decomposition is a matrix factorization that expresses a matrix M as UΣVᵀ, where U and V are orthogonal matrices, and Σ is diagonal. It can interpreted as the action of a rotation, a scaling and a rotation/reflection.
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