Description: Optimization Models by Giuseppe C. Calafiore, Laurent El Ghaoui Emphasizing practical understanding over the technicalities of specific algorithms, this elegant textbook teaches students how to recognize, simplify, model and solve optimization problems – and apply these basic principles to their own projects. Accompanied by an online solution manual, accessible only to instructors. FORMAT Hardcover LANGUAGE English CONDITION Brand New Publisher Description Emphasizing practical understanding over the technicalities of specific algorithms, this elegant textbook is an accessible introduction to the field of optimization, focusing on powerful and reliable convex optimization techniques. Students and practitioners will learn how to recognize, simplify, model and solve optimization problems - and apply these principles to their own projects. A clear and self-contained introduction to linear algebra demonstrates core mathematical concepts in a way that is easy to follow, and helps students to understand their practical relevance. Requiring only a basic understanding of geometry, calculus, probability and statistics, and striking a careful balance between accessibility and rigor, it enables students to quickly understand the material, without being overwhelmed by complex mathematics. Accompanied by numerous end-of-chapter problems, an online solutions manual for instructors, and relevant examples from diverse fields including engineering, data science, economics, finance, and management, this is the perfect introduction to optimization for undergraduate and graduate students. Notes Accessible textbook demonstrating how to recognise, simplify, model and solve optimisation problems and apply these to new projects. Author Biography Giuseppe C. Calafiore is an Associate Professor at the Dipartimento di Automatica e Informatica, Politecnico di Torino, and a Research Fellow of the Institute of Electronics, Computer and Telecommunication Engineering, National Research Council of Italy. Laurent El Ghaoui is a Professor in the Department of Electrical Engineering and Computer Science, the Department of Industrial Engineering and Operations Research, and the Berkeley Center for New Media, at the University of California, Berkeley. Table of Contents 1. Introduction; Part I. Linear Algebra: 2. Vectors; 3. Matrices; 4. Symmetric matrices; 5. Singular value decomposition; 6. Linear equations and least-squares; 7. Matrix algorithms; Part II. Convex Optimization: 8. Convexity; 9. Linear, quadratic and geometric models; 10. Second-order cone and robust models; 11. Semidefinite models; 12. Introduction to algorithms; Part III. Applications: 13. Learning from data; 14. Computational finance; 15. Control problems; 16. Engineering design. Review In Optimization Models, Calafiore and El Ghaoui have created a beautiful and very much needed on-ramp to the world of modern mathematical optimization and its wide range of applications. They lead an undergraduate, with not much more than basic calculus behind her, from the basics of linear algebra all the way to modern optimization-based machine learning, image processing, control, and finance, to name just a few applications. Until now, these methods and topics were accessible only to graduate students in a few fields, and the few undergraduates who brave the daunting prerequisites. The books seamless integration of mathematics and applications, and its focus on modeling practical problems and algorithmic solution methods, will be very appealing to a wide audience. Stephen Boyd, Stanford University, California "In Optimization Models, Calafiore and El Ghaoui have created a beautiful and very much needed on-ramp to the world of modern mathematical optimization and its wide range of applications. They lead an undergraduate, with not much more than basic calculus behind her, from the basics of linear algebra all the way to modern optimization-based machine learning, image processing, control, and finance, to name just a few applications. Until now, these methods and topics were accessible only to graduate students in a few fields, and the few undergraduates who brave the daunting prerequisites. The books seamless integration of mathematics and applications, and its focus on modeling practical problems and algorithmic solution methods, will be very appealing to a wide audience." Stephen Boyd, Stanford University, California Review Quote "In Optimization Models, Calafiore and El Ghaoui have created a beautiful and very much needed on-ramp to the world of modern mathematical optimization and its wide range of applications. They lead an undergraduate, with not much more than basic calculus behind her, from the basics of linear algebra all the way to modern optimization-based machine learning, image processing, control, and finance, to name just a few applications. Until now, these methods and topics were accessible only to graduate students in a few fields, and the few undergraduates who brave the daunting prerequisites. The books seamless integration of mathematics and applications, and its focus on modeling practical problems and algorithmic solution methods, will be very appealing to a wide audience." Stephen Boyd, Stanford University Promotional "Headline" This accessible textbook demonstrates how to recognize, simplify, model and solve optimization problems - and apply these principles to new projects. Description for Bookstore Emphasizing practical understanding over the technicalities of specific algorithms, this elegant textbook teaches students how to recognize, simplify, model and solve optimization problems - and apply these basic principles to their own projects. Accompanied by an online solution manual, accessible only to instructors. Description for Library Emphasizing practical understanding over the technicalities of specific algorithms, this elegant textbook teaches students how to recognize, simplify, model and solve optimization problems - and apply these basic principles to their own projects. Accompanied by an online solution manual, accessible only to instructors. Details ISBN1107050871 Author Laurent El Ghaoui Publisher Cambridge University Press Year 2014 ISBN-10 1107050871 ISBN-13 9781107050877 Format Hardcover Media Book Imprint Cambridge University Press Place of Publication Cambridge Country of Publication United Kingdom Publication Date 2014-10-31 Pages 650 Short Title OPTIMIZATION MODELS Language English DEWEY 519.6 Audience Professional and Scholarly UK Release Date 2014-10-31 AU Release Date 2014-10-31 NZ Release Date 2014-10-31 Illustrations Worked examples or Exercises; 20 Halftones, unspecified; 332 Line drawings, unspecified; Worked examples or Exercises; 20 Halftones, unspecified; 332 Line drawings, unspecified We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:168651954;
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ISBN-13: 9781107050877
Book Title: Optimization Models
Number of Pages: 650 Pages
Publication Name: Optimization Models
Language: English
Publisher: Cambridge University Press
Item Height: 253 mm
Subject: Engineering & Technology, Computer Science
Publication Year: 2014
Type: Textbook
Item Weight: 1570 g
Author: Laurent El Ghaoui, Giuseppe C. Calafiore
Item Width: 196 mm
Format: Hardcover