Publicado por World Scientific Publishing Co Pte Ltd, 2018
ISBN 10: 9813237643 ISBN 13: 9789813237643
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Publicado por World Scientific Publishing Company, 2018
ISBN 10: 9813237643 ISBN 13: 9789813237643
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Publicado por World Scientific Publishing Company, 2018
ISBN 10: 9813237643 ISBN 13: 9789813237643
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Publicado por World Scientific Publishing Company, 2018
ISBN 10: 9813237643 ISBN 13: 9789813237643
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Publicado por World Scientific Publishing Company, 2018
ISBN 10: 9813237643 ISBN 13: 9789813237643
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Publicado por World Scientific Publishing Co Pte Ltd, 2018
ISBN 10: 9813237643 ISBN 13: 9789813237643
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Publicado por World Scientific Publishing Co Pte Ltd, 2018
ISBN 10: 9813237643 ISBN 13: 9789813237643
Idioma: Inglés
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Publicado por World Scientific Publishing Company, 2018
ISBN 10: 9813237643 ISBN 13: 9789813237643
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Publicado por World Scientific Publishing Co Pte Ltd, SG, 2018
ISBN 10: 9813237643 ISBN 13: 9789813237643
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Añadir al carritoHardback. Condición: New. Mathematically, most of the interesting optimization problems can be formulated to optimize some objective function, subject to some equality and/or inequality constraints. This book introduces some classical and basic results of optimization theory, including nonlinear programming with Lagrange multiplier method, the Karush-Kuhn-Tucker method, Fritz John's method, problems with convex or quasi-convex constraints, and linear programming with geometric method and simplex method.A slim book such as this which touches on major aspects of optimization theory will be very much needed for most readers. We present nonlinear programming, convex programming, and linear programming in a self-contained manner. This book is for a one-semester course for upper level undergraduate students or first/second year graduate students. It should also be useful for researchers working on many interdisciplinary areas other than optimization.
Publicado por World Scientific Publishing Company, 2018
ISBN 10: 9813237643 ISBN 13: 9789813237643
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Publicado por World Scientific Publishing Co Pte Ltd, Singapore, 2018
ISBN 10: 9813237643 ISBN 13: 9789813237643
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Añadir al carritoHardcover. Condición: new. Hardcover. Mathematically, most of the interesting optimization problems can be formulated to optimize some objective function, subject to some equality and/or inequality constraints. This book introduces some classical and basic results of optimization theory, including nonlinear programming with Lagrange multiplier method, the Karush-Kuhn-Tucker method, Fritz John's method, problems with convex or quasi-convex constraints, and linear programming with geometric method and simplex method.A slim book such as this which touches on major aspects of optimization theory will be very much needed for most readers. We present nonlinear programming, convex programming, and linear programming in a self-contained manner. This book is for a one-semester course for upper level undergraduate students or first/second year graduate students. It should also be useful for researchers working on many interdisciplinary areas other than optimization. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Publicado por World Scientific Publishing Company, 2018
ISBN 10: 9813237643 ISBN 13: 9789813237643
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Publicado por World Scientific Publishing Company, 2018
ISBN 10: 9813237643 ISBN 13: 9789813237643
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Publicado por World Scientific Pub Co Inc, 2018
ISBN 10: 9813237643 ISBN 13: 9789813237643
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Publicado por World Scientific Publishing Co Pte Ltd, SG, 2018
ISBN 10: 9813237643 ISBN 13: 9789813237643
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Añadir al carritoHardback. Condición: New. Mathematically, most of the interesting optimization problems can be formulated to optimize some objective function, subject to some equality and/or inequality constraints. This book introduces some classical and basic results of optimization theory, including nonlinear programming with Lagrange multiplier method, the Karush-Kuhn-Tucker method, Fritz John's method, problems with convex or quasi-convex constraints, and linear programming with geometric method and simplex method.A slim book such as this which touches on major aspects of optimization theory will be very much needed for most readers. We present nonlinear programming, convex programming, and linear programming in a self-contained manner. This book is for a one-semester course for upper level undergraduate students or first/second year graduate students. It should also be useful for researchers working on many interdisciplinary areas other than optimization.
Publicado por World Scientific Publishing Co Pte Ltd, Singapore, 2018
ISBN 10: 9813237643 ISBN 13: 9789813237643
Idioma: Inglés
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Añadir al carritoHardcover. Condición: new. Hardcover. Mathematically, most of the interesting optimization problems can be formulated to optimize some objective function, subject to some equality and/or inequality constraints. This book introduces some classical and basic results of optimization theory, including nonlinear programming with Lagrange multiplier method, the Karush-Kuhn-Tucker method, Fritz John's method, problems with convex or quasi-convex constraints, and linear programming with geometric method and simplex method.A slim book such as this which touches on major aspects of optimization theory will be very much needed for most readers. We present nonlinear programming, convex programming, and linear programming in a self-contained manner. This book is for a one-semester course for upper level undergraduate students or first/second year graduate students. It should also be useful for researchers working on many interdisciplinary areas other than optimization. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Añadir al carritoBuch. Condición: Neu. OPTIMIZATION THEORY | A CONCISE INTRODUCTION | Yong Jiongmin | Buch | Gebunden | Englisch | 2018 | World Scientific | EAN 9789813237643 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
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Añadir al carritoBuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Mathematically, most of the interesting optimization problems can be formulated to optimize some objective function, subject to some equality and/or inequality constraints. This book introduces some classical and basic results of optimization theory, including nonlinear programming with Lagrange multiplier method, the Karush-Kuhn-Tucker method, Fritz John's method, problems with convex or quasi-convex constraints, and linear programming with geometric method and simplex method.A slim book such as this which touches on major aspects of optimization theory will be very much needed for most readers. We present nonlinear programming, convex programming, and linear programming in a self-contained manner. This book is for a one-semester course for upper level undergraduate students or first/second year graduate students. It should also be useful for researchers working on many interdisciplinary areas other than optimization.