Lectures related to Orthogonality and Projection

Covers the properties and operations of convex functions.

Explores the Fourier transform, Schwartz space, and Riemann-Lebesgue lemma in quantum physics.

Covers the fundamentals of integer optimization, including integer programming, dynamic programming, and approximation algorithms.

Covers parametric signal models and practical Matlab applications for Markov chains and AutoRegressive processes.

Explores vector space retrieval, covering computation, examples, limitations of boolean retrieval, and query weights.