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Lecture
The Spike-Wigner model
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Singular Value Decomposition
Covers the Singular Value Decomposition theorem and its application in decomposing matrices.
Singular Value Decomposition
Explores Singular Value Decomposition, low-rank approximation, fundamental subspaces, and matrix norms.
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Covers Gaussian random variables, affine transformations, and linear systems driven by Gaussian noise in multivariable control.
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Finite Element Method
Covers the Finite Element Method, discussing the derivation of the equation of motion and exploring mass and stiffness matrices.
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