Introduction To Numerical Linear Algebra And Optimisation

Download Introduction To Numerical Linear Algebra And Optimisation full books in PDF, epub, and Kindle. Read online free Introduction To Numerical Linear Algebra And Optimisation ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Introduction to Numerical Linear Algebra and Optimisation

Introduction to Numerical Linear Algebra and Optimisation
Author :
Publisher : Cambridge University Press
Total Pages : 456
Release :
ISBN-10 : 0521339847
ISBN-13 : 9780521339841
Rating : 4/5 (841 Downloads)

Book Synopsis Introduction to Numerical Linear Algebra and Optimisation by : Philippe G. Ciarlet

Download or read book Introduction to Numerical Linear Algebra and Optimisation written by Philippe G. Ciarlet and published by Cambridge University Press. This book was released on 1989-08-25 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of this book is to give a thorough introduction to the most commonly used methods of numerical linear algebra and optimisation. The prerequisites are some familiarity with the basic properties of matrices, finite-dimensional vector spaces, advanced calculus, and some elementary notations from functional analysis. The book is in two parts. The first deals with numerical linear algebra (review of matrix theory, direct and iterative methods for solving linear systems, calculation of eigenvalues and eigenvectors) and the second, optimisation (general algorithms, linear and nonlinear programming). The author has based the book on courses taught for advanced undergraduate and beginning graduate students and the result is a well-organised and lucid exposition. Summaries of basic mathematics are provided, proofs of theorems are complete yet kept as simple as possible, and applications from physics and mechanics are discussed. Professor Ciarlet has also helpfully provided over 40 line diagrams, a great many applications, and a useful guide to further reading. This excellent textbook, which is translated and revised from the very successful French edition, will be of great value to students of numerical analysis, applied mathematics and engineering.


Introduction to Numerical Linear Algebra and Optimisation Related Books

Introduction to Numerical Linear Algebra and Optimisation
Language: en
Pages: 456
Authors: Philippe G. Ciarlet
Categories: Computers
Type: BOOK - Published: 1989-08-25 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

The purpose of this book is to give a thorough introduction to the most commonly used methods of numerical linear algebra and optimisation. The prerequisites ar
Linear Algebra and Optimization for Machine Learning
Language: en
Pages: 507
Authors: Charu C. Aggarwal
Categories: Computers
Type: BOOK - Published: 2020-05-13 - Publisher: Springer Nature

DOWNLOAD EBOOK

This textbook introduces linear algebra and optimization in the context of machine learning. Examples and exercises are provided throughout the book. A solution
Numerical Optimization
Language: en
Pages: 686
Authors: Jorge Nocedal
Categories: Mathematics
Type: BOOK - Published: 2006-12-11 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

Optimization is an important tool used in decision science and for the analysis of physical systems used in engineering. One can trace its roots to the Calculus
Numerical Algorithms
Language: en
Pages: 400
Authors: Justin Solomon
Categories: Computers
Type: BOOK - Published: 2015-06-24 - Publisher: CRC Press

DOWNLOAD EBOOK

Numerical Algorithms: Methods for Computer Vision, Machine Learning, and Graphics presents a new approach to numerical analysis for modern computer scientists.
Numerical Methods for Unconstrained Optimization and Nonlinear Equations
Language: en
Pages: 394
Authors: J. E. Dennis, Jr.
Categories: Mathematics
Type: BOOK - Published: 1996-12-01 - Publisher: SIAM

DOWNLOAD EBOOK

This book has become the standard for a complete, state-of-the-art description of the methods for unconstrained optimization and systems of nonlinear equations.