Deterministic Global Optimization: An Introduction to the Diagonal Approach

Name: Deterministic Global Optimization: An Introduction to the Diagonal Approach
Brand: Springer-Verlag New York Inc.
SKU: 9781493971978
Price: 260.83 PLN
Availability: InStock

Autor: Yaroslav D. Sergeyev, Dmitri E. Kvasov

Język:

Oprawa: Miękka

Wydawca: Springer-Verlag New York Inc.

Dostępność: Na zamówienie

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260.83 zł

This book begins with a concentrated introduction into deterministic global optimization and moves f...

Informacje o książce

Autor

Yaroslav D. Sergeyev, Dmitri E. Kvasov

Język

Angielski

Oprawa

Książka - Miękka

Data wydania

2017

strony

136

EAN

9781493971978

ISBN

1493971972

Enbook ID

16217235

Wydawca

Springer-Verlag New York Inc.

Waga

238

Wymiary

155 x 235 x 10

Pełny opis

This book begins with a concentrated introduction into deterministic global optimization and moves forward to present new original results from the authors who are well known experts in the field. Multiextremal continuous problems that have an unknown structure with Lipschitz objective functions and functions having the first Lipschitz derivatives defined over hyperintervals are examined. A class of algorithms using several Lipschitz constants is introduced which has its origins in the DIRECT (DIviding RECTangles) method. This new class is based on an efficient strategy that is applied for the search domain partitioning. In addition a survey on derivative free methods and methods using the first derivatives is given for both one-dimensional and multi-dimensional cases. Non-smooth and smooth minorants and acceleration techniques that can speed up several classes of global optimization methods with examples of applications and problems arising in numerical testing of global optimization algorithms are discussed. Theoretical considerations are illustrated through engineering applications. Extensive numerical testing of algorithms described in this book stretches the likelihood of establishing a link between mathematicians and practitioners. The authors conclude by describing applications and a generator of random classes of test functions with known local and global minima that is used in more than 40 countries of the world. This title serves as a starting point for students, researchers, engineers, and other professionals in operations research, management science, computer science, engineering, economics, environmental sciences, industrial and applied mathematics to obtain an overview of deterministic global optimization.

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