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Optimal design and related areas in optimization and statistics

Contributor(s): Pronzato, Luc [Editor] | Zhigljavsky, Anatoly [Editor].
Series: Springer optimization and its applications vol. 28. Publisher: New York Springer Science+Business Media 2009Description: xv, 224 p.ISBN: 9780387799353.Subject(s): Mathematical optimization | Mathematical statistics | Programming (Mathematics)DDC classification: 519.3 Summary: This edited volume, dedicated to Henry P. Wynn, reflects his broad range of research interests, focusing in particular on the applications of optimal design theory in optimization and statistics. It covers algorithms for constructing optimal experimental designs, general gradient-type algorithms for convex optimization, majorization and stochastic ordering, algebraic statistics, Bayesian networks and nonlinear regression. Written by leading specialists in the field, each chapter contains a survey of the existing literature along with substantial new material. This work will appeal to both the specialist and the non-expert in the areas covered. By attracting the attention of experts in optimization to important interconnected areas, it should help stimulate further research with a potential impact on applications. Source: http://www.alibris.com/
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Books Vikram Sarabhai Library
Slot 1408 (0 Floor, East Wing) 519.3 O7 (Browse shelf) Available 167636

This edited volume, dedicated to Henry P. Wynn, reflects his broad range of research interests, focusing in particular on the applications of optimal design theory in optimization and statistics. It covers algorithms for constructing optimal experimental designs, general gradient-type algorithms for convex optimization, majorization and stochastic ordering, algebraic statistics, Bayesian networks and nonlinear regression. Written by leading specialists in the field, each chapter contains a survey of the existing literature along with substantial new material. This work will appeal to both the specialist and the non-expert in the areas covered. By attracting the attention of experts in optimization to important interconnected areas, it should help stimulate further research with a potential impact on applications. Source: http://www.alibris.com/

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