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Stochastic and Global Optimization

✍ Scribed by M. M. Ali, A. Törn (auth.), Gintautas Dzemyda, Vydūnas à altenis, Antanas Žilinskas (eds.)

Publisher
Springer US
Year
2002
Tongue
English
Leaves
246
Series
Nonconvex Optimization and Its Applications 59
Edition
1
Category
Library
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📜 SIMILAR VOLUMES

Stochastic and Global Optimization
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✍ M. M. Ali, A. Törn (auth.), Gintautas Dzemyda, Vydūnas à altenis, Antanas Žilins 📂 Library 📅 2002 🏛 Springer US 🌐 English

This book is dedicated to the 70th birthday of Professor J. Mockus, whose scientific interests include theory and applications of global and discrete optimization, and stochastic programming. The papers for the book were selected because they relate to these topics and also satisfy the criterion of

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✍ M. M. Ali, A. Törn (auth.), Gintautas Dzemyda, Vydūnas à altenis, Antanas Žilins 📂 Library 📅 2002 🏛 Springer US 🌐 English

This book is dedicated to the 70th birthday of Professor J. Mockus, whose scientific interests include theory and applications of global and discrete optimization, and stochastic programming. The papers for the book were selected because they relate to these topics and also satisfy the criterion of

Stochastic and Global Optimization
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This book is dedicated to the 70th birthday of Professor J. Mockus, whose scientific interests include theory and applications of global and discrete optimization, and stochastic programming. The papers for the book were selected because they relate to these topics and also satisfy the criterion of

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This title emphasizes the statistical approach to global and discrete optimization, though applications to optimal design and to mathematical finance are also presented. The results of various subjects are summarized and the prospects for developments are justified.</div>

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<p><P>This book presents the main methodological and theoretical developments in stochastic global optimization. The extensive text is divided into four chapters; the topics include the basic principles and methods of global random search, statistical inference in random search, Markovian and popula