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Introduction to numerical linear algebra and optimisation by Philippe G. Ciarlet

Introduction to numerical linear algebra and optimisation Philippe G. Ciarlet ebook
ISBN: 0521339847, 9780521339841
Page: 447
Format: djvu
Publisher: CUP

It's very rigorous and mathy, but they do give pseudocode. I'm looking for recommendations for books, libraries, software For general numerical linear algebra, You could do worse that Golub and Van Loan, I find that it is extremely well written and quite comprehensive. Week 8: Optimization and regularization. Bayesian inference as regularization. It is not strong on optimization, as that is a related, but somewhat “An Introduction to Numerical Methods and Analysis” by Epperson. General optimization algorithms. Readings: BDA, chapter 1, section 3.7, . Treating it as a generalization of maximum likelihood. Linear optimisation and eigenvector problems especially. Introduction to the Gibbs sampler and Metropolis algorithm. Using a corpus of datasets to get a prior distribution. The meaning of conservatism in statistics. Readings: ARM, Sections 13.1-13.4.