OPTIMIZATION THEORY: A CONCISE INTRODUCTION

Jiongmin Yong

ISBN 10: 0000988936 ISBN 13: 9780000988935

Published by World Scientific, 2020

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Bibliographic Details

Title: OPTIMIZATION THEORY: A CONCISE INTRODUCTION
Publisher: World Scientific
Publication Date: 2020
Binding: Soft cover
Condition: New

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Optimization Theory: A Concise Introduction

Yong, Jiongmin

Published by World Scientific Publishing Company, 2018

ISBN 10: 9813237643 ISBN 13: 9789813237643

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Optimization Theory : A Concise Introduction

Yong, Jiongmin

Published by World Scientific Publishing Company, 2018

ISBN 10: 9813237643 ISBN 13: 9789813237643

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Optimization Theory : A Concise Introduction

Jiongmin, Yong

Published by World Scientific Publishing Co Pte Ltd, 2018

ISBN 10: 9813237643 ISBN 13: 9789813237643

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Optimization Theory: A Concise Introduction

Yong, Jiongmin

Published by World Scientific Publishing Company, 2018

ISBN 10: 9813237643 ISBN 13: 9789813237643

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Optimization Theory : A Concise Introduction

Yong, Jiongmin

Published by World Scientific Publishing Company, 2018

ISBN 10: 9813237643 ISBN 13: 9789813237643

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Optimization Theory: A Concise Introduction

Jiongmin Yong

Published by World Scientific Publishing Co Pte Ltd, 2018

ISBN 10: 9813237643 ISBN 13: 9789813237643

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Optimization Theory: A Concise Introduction

Jiongmin Yong

Published by World Scientific Publishing Co Pte Ltd, SG, 2018

ISBN 10: 9813237643 ISBN 13: 9789813237643

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Seller: Rarewaves.com UK, London, United Kingdom

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Hardback. Condition: 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. Seller Inventory # LU-9789813237643

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