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Springer Advances in Stochastic and Deterministic Optimization

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Description

Explore current research in stochastic and deterministic global optimization with this volume from the Springer Optimization and Its Applications series. This book presents work from leading specialists covering both single and multiple objectives. Readers will find detailed contributions regarding applications in multidimensional data visualization, regression, survey calibration, and inventory management. The text also addresses practical uses in chemical engineering, energy systems, timetabling, and competitive facility location. This resource is designed for graduate students, researchers, and scientists working in computer science, numerical analysis, optimization, and applied mathematics. It provides a deep look into theoretical and computational aspects of the field.

Key Features

This Springer publication covers research in both stochastic and deterministic global optimization.

The content includes studies on single and multiple objectives for advanced mathematical applications.

Research applications include chemical engineering, energy systems, and inventory management.

The text provides practical insights into multidimensional data visualization and regression techniques.

Designed for scientists and researchers in computer science, numerical analysis, and applied mathematics.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
10 May 2016
Listed Since
13 January 2016

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