IOS

Related lectures (31)

Covers differential operators, vector analysis, Fourier analysis, and potential fields with applications to gravity.

Explores asymmetric parametric models and the extremal coefficient in extreme value dependence.

Introduces maximum likelihood estimation for statistical parameter estimation, covering bias, variance, and mean squared error.

Covers the exponential family of distributions and the Ising model, explaining magnetism through dipoles and spins.

Covers the formulation of isoparametric elements and integration techniques in the finite element method, with a focus on Gauss integration.

Covers the analysis of trusses, defining node positions, connectivity matrices, and stiffness matrices.

Covers decision-making in marketing based on customer behavior for optimal strategies.

Explores fields deriving from a potential, emphasizing integral and linear aspects.

Explores Lie algebra representations, emphasizing SU(2) and traceless matrices, explained by Alfredo Glioti.

Explores the Central Limit Theorem and its applications in statistical analysis.

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