<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
Stochastic Global Optimization
✍ Scribed by Anatoly Zhigljavsky, Antanas Žilinskas (auth.)
- Publisher
- Springer US
- Year
- 2008
- Tongue
- English
- Leaves
- 269
- Series
- Springer Optimization and Its Applications 9
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
✦ Subjects
Optimization; Calculus of Variations and Optimal Control; Optimization; Applications of Mathematics
📜 SIMILAR VOLUMES
<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
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
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
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
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