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Published by World Scientific Publishing Company, 2018
ISBN 10: 9813237643 ISBN 13: 9789813237643
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Published by World Scientific Publishing Company, 2018
ISBN 10: 9813237643 ISBN 13: 9789813237643
Language: English
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Published by World Scientific Publishing Company, 2018
ISBN 10: 9813237643 ISBN 13: 9789813237643
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Published by World Scientific Publishing Co Pte Ltd, 2018
ISBN 10: 9813237643 ISBN 13: 9789813237643
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ISBN 10: 9813237643 ISBN 13: 9789813237643
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Published by World Scientific Publishing Company, 2018
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Published by World Scientific Publishing Company, 2018
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Language: English
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Published by World Scientific Pub Co Inc, 2018
ISBN 10: 9813237643 ISBN 13: 9789813237643
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Published by World Scientific Publishing Company, 2018
ISBN 10: 9813237643 ISBN 13: 9789813237643
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.
Published by World Scientific Publishing Company, 2018
ISBN 10: 9813237643 ISBN 13: 9789813237643
Language: English
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Add to basketBuch. Condition: 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.