Introduction to Nonlinear Optimization: Theory, Algorithms, and Applications with MATLAB

Amir Beck

ISBN 10: 1611973643 / ISBN 13: 9781611973648

Verlag: SIAM-Society for Industrial and Applied Mathematics, 2014

Beschreibung

Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes). Bestandsnummer des Verkäufers 002068233U

Bibliografische Details

Titel: Introduction to Nonlinear Optimization: ...

Verlag: SIAM-Society for Industrial and Applied Mathematics

Erscheinungsdatum: 2014

Einband: Paperback

Zustand: Good

Über diesen Titel

Inhaltsangabe:

The theoretical and algorithmic foundations of optimization theory are combined with applications and implementation in this book, which features over 170 exercises to enhance the reader's understanding. It features modern topics and applications, accompanied by MATLAB files on an accompanying website. Ideal for students of mathematics, computer science, and engineering.

Reseña del editor:

The three pillars of optimization theory - theoretical and algorithmic foundation, familiarity with applications, and the ability to apply theory and algorithms to actual problems - are combined in this book, which rigorously and gradually builds the connection between theory, algorithms, applications, and implementation. Readers will find more than 170 exercises that deepen and enhance the reader's understanding of the topics. The author includes several subjects not typically found in optimization books, including optimality conditions in sparsity-constrained optimization, hidden convexity, and total least squares. It also offers a large number of applications, such as circle fitting, the Fermat–Weber problem, denoising, clustering, and orthogonal regression. Theoretical and algorithmic topics are demonstrated by the MATLAB toolbox CVX and a package of m-files posted on the book's website. This book is intended for students of mathematics, computer science, and engineering at the advanced undergraduate level plus.