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Record Nr. |
UNINA9910454145503321 |
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Titolo |
Annual review of gerontology and geriatrics . Volume 27 Biopsychosocial approaches to longevity [[electronic resource] /] / Leonard W. Poon, Thomas T. Perls, volume editors |
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Pubbl/distr/stampa |
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New York, : Springer, 2008 |
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ISBN |
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1-281-80664-1 |
9786611806644 |
0-8261-1538-1 |
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Descrizione fisica |
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1 online resource (292 p.) |
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Collana |
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Annual review of gerontology and geriatrics, , 0198-8794 ; ; v. 27 |
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Altri autori (Persone) |
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PoonLeonard W. <1942-> |
PerlsThomas T |
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Disciplina |
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Soggetti |
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Geriatrics |
Centenarians |
Longevity |
Aging |
Electronic books. |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Contents; About the Editors; Contributors; Forthcoming and Previous Volumes in the Series; Preface; Acknowledgments; 1 The Trials and Tribulations of Studying the Oldest Old; Section I: Biomedical; Section II: Psychosocial; Section III: Methodology; Index |
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Sommario/riassunto |
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This Annual Review thoroughly examines current longevity issues in the fields of biology, behavioral and social sciences, and contemporary methodology. With a wide range of contributors, the volume takes on a multidisciplinary perspective, accounting for the complex interplay of the varying factors that affect different aspects of longevity. Biology section: Analyzes topics such as how genetics and environmental influences factor into the prevention and treatment of age-related diseases.Behavioral and social science section: Brings to light data not very well known to the research community co |
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2. |
Record Nr. |
UNINA9910450933503321 |
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Autore |
Zhigli͡avskiĭ A. A (Anatoliĭ Aleksandrovich) |
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Titolo |
Stochastic global optimization [[electronic resource] /] / by Anatoly Zhigljavsky, Antanas Žilinskas |
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Pubbl/distr/stampa |
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New York, : Springer, 2008 |
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ISBN |
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1-281-13893-2 |
9786611138936 |
0-387-74740-0 |
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Edizione |
[1st ed. 2008.] |
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Descrizione fisica |
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1 online resource (270 p.) |
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Collana |
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Springer optimization and its applications ; ; v. 1 |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Mathematical optimization |
Stochastic processes |
Electronic books. |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Basic Concepts and Ideas -- Global Random Search: Fundamentals and Statistical Inference -- Global Random Search: Extensions -- Methods Based on Statistical Models of Multimodal Functions. |
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Sommario/riassunto |
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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 population-based random search methods, methods based on statistical models of multimodal functions and principles of rational decisions theory. Key features: * Inspires readers to explore various stochastic methods of global optimization by clearly explaining the main methodological principles and features of the methods; * Includes a comprehensive study of probabilistic and statistical models underlying the stochastic optimization algorithms; * Expands upon more sophisticated techniques including random and semi-random coverings, stratified sampling schemes, Markovian algorithms and population based algorithms; *Provides a thorough description of the methods based on statistical models of objective function; *Discusses criteria for evaluating efficiency of optimization |
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algorithms and difficulties occurring in applied global optimization. Stochastic Global Optimization is intended for mature researchers and graduate students interested in global optimization, operations research, computer science, probability, statistics, computational and applied mathematics, mechanical and chemical engineering, and many other fields where methods of global optimization can be used. |
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