Numerical Optimization - (Springer Series in Operations Research and Financial Engineering) 2nd Edition by Jorge Nocedal & Stephen Wright
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<p/><br></br><p><b> About the Book </b></p></br></br><p>The new edition of this book presents a comprehensive and up-to-date description of the most effective methods in continuous optimization. It is enhanced by new chapters on nonlinear interior methods and derivative-free methods for optimization.</p><p/><br></br><p><b> Book Synopsis </b></p></br></br>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 of Variations and the work of Euler and Lagrange. This natural and reasonable approach to mathematical programming covers numerical methods for finite-dimensional optimization problems. It begins with very simple ideas progressing through more complicated concepts, concentrating on methods for both unconstrained and constrained optimization.<p/><br></br><p><b> From the Back Cover </b></p></br></br><p>Numerical Optimization presents a comprehensive and up-to-date description of the most effective methods in continuous optimization. It responds to the growing interest in optimization in engineering, science, and business by focusing on the methods that are best suited to practical problems.</p> <p>For this new edition the book has been thoroughly updated throughout. There are new chapters on nonlinear interior methods and derivative-free methods for optimization, both of which are used widely in practice and the focus of much current research. Because of the emphasis on practical methods, as well as the extensive illustrations and exercises, the book is accessible to a wide audience. It can be used as a graduate text in engineering, operations research, mathematics, computer science, and business. It also serves as a handbook for researchers and practitioners in the field. The authors have strived to produce a text that is pleasant to read, informative, and rigorous - one that reveals both the beautiful nature of the discipline and its practical side.</p><p/><br></br><p><b> Review Quotes </b></p></br></br><br><p>MMOR Mathematical Methods of Operations Research, 2001: "The books looks very suitable to be used in an graduate-level course in optimization for students in mathematics, operations research, engineering, and others. Moreover, it seems to be very helpful to do some self-studies in optimization, to complete own knowledge and can be a source of new ideas.... I recommend this excellent book to everyone who is interested in optimization problems."<br></p><br><br>MMOR Mathematical Methods of Operations Research, 2001: "The books looks very suitable to be used in an graduate-level course in optimization for students in mathematics, operations research, engineering, and others. Moreover, it seems to be very helpful to do some self-studies in optimization, to complete own knowledge and can be a source of new ideas.... I recommend this excellent book to everyone who is interested in optimization problems."<br><br>Aus den Rezensionen zur 2. Auflage: " Der Aufbau folgt ... vielen Standardwerken ber nichtlineare Optimierung. ... Das Buch bietet eine detaillierte und gut lesbare bersicht ber den aktuellen Stand der Forschung in nichtlinearer Optimierung. Viele Aufgaben unterschiedlichen Schwierigkeitsgrades bieten auch den Lernenden eine n tzliche Unterst tzung. Insgesamt halte ich dieses Werk als Grundlage f r eine Lehrveranstaltung ber nichtlineare Optimierung hervorragend geeignet und habe es bereits selbst erfolgreich eingesetzt." (F. Rendl, in: IMN - Internationale Mathematische Nachrichten, 2008, Vol. 62, Issue 208, S. 69 f.)<br><br><P>Aus den Rezensionen zur 2. Auflage: <P><P>" Der Aufbau folgt ... vielen Standardwerken ber nichtlineare Optimierung. ... Das Buch bietet eine detaillierte und gut lesbare bersicht ber den aktuellen Stand der Forschung in nichtlinearer Optimierung. Viele Aufgaben unterschiedlichen Schwierigkeitsgrades bieten auch den Lernenden eine n tzliche Unterst tzung. Insgesamt halte ich dieses Werk als Grundlage f r eine Lehrveranstaltung ber nichtlineare Optimierung hervorragend geeignet und habe es bereits selbst erfolgreich eingesetzt." (F. Rendl, in: IMN - Internationale Mathematische Nachrichten, 2008, Vol. 62, Issue 208, S. 69 f.)<br><br><P>MMOR Mathematical Methods of Operations Research, 2001: "The books looks very suitable to be used in an graduate-level course in optimization for students in mathematics, operations research, engineering, and others. Moreover, it seems to be very helpful to do some self-studies in optimization, to complete own knowledge and can be a source of new ideas.... I recommend this excellent book to everyone who is interested in optimization problems."<BR><br>
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