03723cam a2200541Ii 4500 9780429203152 FlBoTFG 20260210180821.0 m o d cr cnu|||unuuu 191120s2020 flu ob 001 0 eng d OCoLC-P eng rda pn OCoLC-P 9780429203152 (electronic bk.) 0429203152 (electronic bk.) 9780429511738 (electronic bk. : PDF) 0429511736 (electronic bk. : PDF) 9780429515163 (electronic bk. : EPUB) 0429515162 (electronic bk. : EPUB) 9780367195571 (OCoLC)1128095579 (OCoLC-P)1128095579 QA402.5 BUS 049000 bisacsh MAT 000000 bisacsh MAT 021000 bisacsh PB bicssc 519.6 23 Challal, Samia, author. Introduction to the theory of optimization in Euclidean space / Samia Challal, Glendon College-York University, Toronto, Canada. Boca Raton : CRC Press, Taylor & Francis Group, [2020] ©2020 1 online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier Series in operations research "A Chapman & Hall book." Introduction to the Theory of Optimization in Euclidean Space is intended to provide students with a robust introduction to optimization in Euclidean space, demonstrating the theoretical aspects of the subject whilst also providing clear proofs and applications. Students are taken progressively through the development of the proofs, where they have the occasion to practice tools of differentiation (Chain rule, Taylor formula) for functions of several variables in abstract situations. Throughout this book, students will learn the necessity of referring to important results established in advanced Algebra and Analysis courses. Features Rigorous and practical, offering proofs and applications of theorems Suitable as a textbook for advanced undergraduate students on mathematics or economics courses, or as reference for graduate-level readers Introduces complex principles in a clear, illustrative fashion 1. Introduction 1.1. Formulation of some optimization problems 1.2. Particular subsets of Rn 1.3. Functions of several variables 2. Unconstrained Optimization 2.1. Necessary condition 2.2. Classification of local extreme points 2.3. Convexity/concavity and global extreme points 2.4. Extreme value theorem 3. Constrained Optimization-Equality constraints 3.1. Tangent plane 3.2. Necessary condition for local extreme points-Equality constraints 3.3. Classification of local extreme points-Equality constraints 3.4. Global extreme points-Equality constraints 4. Constrained Optimization-Inequality constraints 4.1. Cone of feasible directions 4.2. Necessary condition for local extreme points/Inequality constraints 4.3. Classification of local extreme points-Inequality constraints 4.4. Global extreme points-Inequality constraints 4.5. Dependence on parameters OCLC-licensed vendor bibliographic record. Mathematical optimization. Euclidean algorithm. BUSINESS & ECONOMICS / Operations Research bisacsh MATHEMATICS / General bisacsh MATHEMATICS / Number Systems bisacsh Taylor & Francis https://www.taylorfrancis.com/books/9780429203152 OCLC metadata license agreement http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf 91832 91831