Advances and trends in optimization with engineering applications / Tamás Terlaky, Lehigh University, Bethlehem, Pennsylvania, Miguel F. Anjos, Polytechnique Montréal, Montréal, Quebec, Canada, Shabbir Ahmed, Georgia Institute of Technology, Atlanta, Georgia, editors.

Format:

Book

Contributor:

Terlaky, Tamás, editor.

Anjos, Miguel F., editor.

Ahmed, Shabbir, 1969- editor.

Society for Industrial and Applied Mathematics, publisher.

Series:

MOS-SIAM series on optimization.

MOS-SIAM series on optimization

Language:

English

Subjects (All):

Mathematical optimization.

Physical Description:

1 PDF (xxxiv, 678 pages).

Place of Publication:

Philadelphia, Pennsylvania : Society for Industrial and Applied Mathematics (SIAM, 3600 Market Street, Floor 6, Philadelphia, PA 19104), [2017]

System Details:

Mode of access: World Wide Web.

System requirements: Adobe Acrobat Reader.

Summary:

Optimization is of critical importance in engineering. Engineers constantly strive for the best possible solutions, the most economical use of limited resources, and the greatest efficiency. As system complexity increases, these goals mandate the use of state-of-the-art optimization techniques. In recent years, the theory and methodology of optimization have seen revolutionary improvements. Moreover, the exponential growth in computational power, along with the availability of multicore computing with virtually unlimited memory and storage capacity, has fundamentally changed what engineers can do to optimize their designs. This is a two-way process: engineers benefit from developments in optimization methodology, and challenging new classes of optimization problems arise from novel engineering applications. Advances and Trends in Optimization with Engineering Applications reviews 10 major areas of optimization and related engineering applications, providing a broad summary of state-of-the-art optimization techniques most important to engineering practice. Each part provides a clear overview of a specific area and discusses a range of real-world problems. The book provides a solid foundation for engineers and mathematical optimizers alike who want to understand the importance of optimization methods to engineering and the capabilities of these methods.

Contents:

Foreword

Preface

I. Linear and quadratic optimization

II. Mixed-integer linear optimization

III. Conic linear optimization

IV. Global optimization

V. Nonlinear optimization

VI. Mixed-integer nonlinear optimization

VII. Robust optimization

VIII. Stochastic optimization

IX. Inventory and supply chain optimization

X. Methodologies and applications in black-box and derivative-free optimization.

Notes:

Includes bibliographical references and index.

Description based on title page of print version.

ISBN:

1-61197-468-2

OCLC:

988326165

Publisher Number:

MO24 SIAM