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Introduction to numerical linear algebra and optimisation Philippe G. Ciarlet
Publisher: CUP

Readings: ARM, Sections 13.1-13.4. Readings: BDA, chapter 1, section 3.7, . Bayesian inference as regularization. Numerical Linear Algebra and Applications, Second Edition: Biswa. Numerical Optimization Video Lectures, IISc Bangalore Online Course, free tutorials and lecture notes, free download, Educational Lecture Videos. Lecture 1: Mod-01 Lec-01 Introduction Introduction : Optimization, Types of Problems and Algorithms Background : Linear Algebra and Analysis,Convex Sets and Convex Functions. Introduction to Numerical Linear Algebra and Optimisation. Week 8: Optimization and regularization. Unconstrained Optimization : Basic properties of solutions and algorithms, Global convergence. Algebra; Analysis; Applications;. Introduction to the Gibbs sampler and Metropolis algorithm. Treating it as a generalization of maximum likelihood. General optimization algorithms. Using a corpus of datasets to get a prior distribution. The meaning of conservatism in statistics.