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Related lectures (31)
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Estimation & Spectral Analysis in Time Series
Covers the estimation of time series models and spectral analysis in depth.
Diagonalization of Symmetric Matrices
Covers the diagonalization of symmetric matrices and the spectral theorem.
Spectral Theory: Regularity and Embedding
Explores spectral theory, emphasizing regularity properties and embedding theorems in the context of Sobolev spaces and compactly supported functions.
Quantum Mechanics: Operators and Eigenvalues
Covers matrix elements, operators, paths with conditions, and time evolution in quantum mechanics.
Proof of Schmidt Theorem and Entropy Properties
Covers the proof of the Schmidt theorem and properties of von Neumann entropy, including dense coding and entanglement.
Dynamical Approaches to Spectral Theory of Operators
Covers dynamical approaches to the spectral theory of operators and solutions of differential equations.
Diagonalization of Symmetric Matrices
Explores the diagonalization of symmetric matrices through orthogonal decomposition and the spectral theorem.
Geometric Potentials and Pressure
Introduces Banach spaces for geometric potentials and pressure analysis, emphasizing equilibrium states and pressure function analyticity.
Quantum Mechanics: Spectral Basis and Schrödinger Equation
Explores spectral basis, Schrödinger equation, unitary equivalence, and self-adjoint operators.
Signal Processing: Basics and Spectral Analysis
Covers the basics of signal processing, linear estimation, and digital filters.
Numerical Flow Simulation: Methods and Applications
Explores numerical methods for flow simulation, including finite element, spectral, particle, and lattice Boltzmann methods.
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