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Springer Bayesian Approach to Global Optimization - Book 37

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Description

Explore the deep connection between mathematical theory and practical application with Bayesian Approach to Global Optimization: Theory and Applications. As part of the Mathematics and its Applications series (Volume 37), this Springer publication provides a rigorous look at how mathematical tools function in a world defined by feedback and non-linearities. Mathematics serves as a fundamental tool for thought and a bridge to other sciences. This text examines how these mathematical frameworks can be applied to solve complex problems. Whether you are studying the theoretical foundations or looking for ways to apply these methods to real-world scientific challenges, this volume offers a structured perspective on global optimization. It is designed for those who view mathematics as a necessary instrument for understanding the complexities of the modern world.

Key Features

Part of the Mathematics and its Applications series, specifically volume 37.

Published by Springer, a recognized name in academic and scientific literature.

Focuses on the application of Bayesian methods to global optimization problems.

Provides a theoretical framework for understanding non-linearities and feedback.

Explores mathematics as a functional tool for various scientific disciplines.

Product Specifications

Format
paperback
Domain
Amazon UK
Publication Date
26 September 2011
Listed Since
21 December 2012

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