Polar decomposition

Related lectures (29)

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Covers the integration of rational functions, including the decomposition into partial fractions and the use of complex zeros.

Explains shape change, polar decomposition, and strain tensor interpretation.

Covers the integration of rational functions and the decomposition into irreducible factors.

Covers the proof of the Schmidt theorem and properties of von Neumann entropy, including dense coding and entanglement.

Covers the application of the Fubini theorem in changing variables.

Covers the theory of orthogonal projection in vector spaces and its practical applications.

Covers the concept of balanced realization in the SISO case, focusing on system observability and controllability.

Explores Singular Value Decomposition, low-rank approximation, fundamental subspaces, and matrix norms.

Covers the construction of an iterative method for linear systems, emphasizing matrix decomposition and convexity.