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Can I read Global Optimization: A Stochastic Approach (Springer Series in Operations Research and Financial Engineering) on EtoBox?

Global Optimization: A Stochastic Approach (Springer Series in Operations Research and Financial Engineering) by Stefan Schäffler (auth.) is a nonfiction available to read on EtoBox.

What is Global Optimization: A Stochastic Approach (Springer Series in Operations Research and Financial Engineering) about?

This self-contained monograph presents a new stochastic approach to global optimization problems arising in a variety of disciplines including mathematics, operations research, engineering, and economics. The volume deals with constrained and unconstrained problems and puts a special emphasis on large scale problems. It also introduces a new unified concept for unconstrained, constrained, vector, and stochastic global optimization problems. All methods presented are illustrated by various examples. Practical numerical algorithms are given and analyzed in detail. The topics presented include the randomized curve of steepest descent, the randomized curve of dominated points, the semi-implicit Euler method, the penalty approach, and active set strategies. The optimal decoding of block codes in digital communications is worked out as a case study and shows the potential and high practical relevance of this new approach. __Global Optimization: A Stochastic Approach__ is an elegant account of a refined theory, suitable for researchers and graduate students interested in global optimization and its applications.

Who reads Global Optimization: A Stochastic Approach (Springer Series in Operations Research and Financial Engineering)?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Stefan Schäffler (auth.)
Publisher
Springer-Verlag New York
Published
2012
Language
EN
ISBN
9781461439271
Category
nonfiction
Subjects
Mathematics, Business, Economics

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