Stochastic Optimization

Name: Stochastic Optimization
Brand: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
SKU: 9783642070945
Price: 57597 HUF
Availability: InStock

Szerző: Johannes Schneider, Scott Kirkpatrick

Nyelv:

Kötés: Puha kötésű

Kiadó: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Elérhetőség: Beszállítói készleten

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This book addresses stochastic optimization procedures in a broad manner. The first part offers an o...

Információk a könyvről

Szerző

Johannes Schneider, Scott Kirkpatrick

Nyelv

Angol

Kötés

Könyv - Puha kötésű

Kiadva

2010

oldal

568

EAN

9783642070945

ISBN

3642070949

Enbook ID

01652267

Kiadó

Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Súly

884

Méretek

155 x 235 x 32

Teljes leírás

This book addresses stochastic optimization procedures in a broad manner. The first part offers an overview of relevant optimization philosophies; the second deals with benchmark problems in depth, by applying a selection of optimization procedures. Written primarily with scientists and students from the physical and engineering sciences in mind, this book addresses a larger community of all who wish to learn about stochastic optimization techniques and how to use them.The search for optimal solutions pervades our daily lives. From the scientific point of view, optimization procedures play an eminent role whenever exact solutions to a given problem are not at hand or a compromise has to be sought, e.g. to obtain a sufficiently accurate solution within a given amount of time. This book addresses stochastic optimization procedures in a broad manner, giving an overview of the most relevant optimization philosophies in the first part. The second part deals with benchmark problems in depth, by applying in sequence a selection of optimization procedures to them. While having primarily scientists and students from the physical and engineering sciences in mind, this book addresses the larger community of all those wishing to learn about stochastic optimization techniques and how to use them.

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Stochastic Optimization

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