Clinical Trial Optimization using R, 

Название: Clinical Epidemiology The Essentials 5th Edition bu Fletcher MD MSc, Robert, Fletcher MD MSc, Suzanne W.,2014
ISBN: 1451144474 ISBN-13(EAN): 9781451144475
Издательство: Lippincott Williams & Wilkins
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Цена: 46850.00 T
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Описание: Now in its Fifth Edition, Clinical Epidemiology: The Essentials is a comprehensive, concise, and clinically oriented introduction to the subject of epidemiology. Written by expert educators, this text introduces students to the principles of evidence-based medicine that will help them develop and apply methods of clinical observation in order to form accurate conclusions. The Fifth Edition includes more complete coverage of systematic reviews and knowledge management, as well as other key topics such as abnormality, diagnosis, frequency and risk, prognosis, treatment, prevention, chance, studying cases and cause.

Автор: Luc Pronzato; Anatoly Zhigljavsky
Название: Optimal Design and Related Areas in Optimization and Statistics
ISBN: 1441927328 ISBN-13(EAN): 9781441927323
Издательство: Springer
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Цена: 130430.00 T
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Описание: Dedicated to Henry P. Wynn, this edited volume reflects his broad range of research interests, focusing in particular on the applications of optimal design theory in optimization and statistics. Chapters survey the existing literature and contain new material.

Автор: Raimondas Ciegis; David Henty; Bo K?gstr?m; Julius
Название: Parallel Scientific Computing and Optimization
ISBN: 0387097066 ISBN-13(EAN): 9780387097060
Издательство: Springer
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Цена: 121110.00 T
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Описание: Introduces the developments in the construction, analysis, and implementation of parallel computing algorithms. This book includes construction and analysis of parallel algorithms for linear algebra and optimization problems. It covers different aspects of parallel architectures, including distributed memory computers with multicore processors.

Автор: Kamien, M.I.
Название: Dynamic Optimization
ISBN: 0444016090 ISBN-13(EAN): 9780444016096
Издательство: Elsevier Science
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Цена: 112010.00 T
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Описание: The long awaited second edition of Dynamic Optimization is now available. Clear exposition and numerous worked examples made the first edition the premier text on this subject. Now, the new edition is expanded and updated to include essential coverage of current developments on differential games, especially as they apply to important economic questions; new developments in comparative dynamics; and new material on optimal control with integral state equations. The second edition of Dynamic Optimization provides expert coverage on: - methods of calculus of variations - optimal control - continuous dynamic programming - stochastic optimal control -differential games. The authors also include appendices on static optimization and on differential games. Now in its new updated and expanded edition, Dynamic Optimization is, more than ever, the optimum choice for graduate and advanced undergraduate courses in economics, mathematical methods in economics and dynamic optimization, management science, mathematics and engineering. New features of Dynamic Optimization will show students: advances in how to do comparative dynamics; how to optimally switch from one state equation to another during the planning period; how to take into account the history of the system governing an optimization problem through the use of an integral state equation; and how to apply differential games to problems in economics and management sciences.

Автор: David Alejandro Pelta; Natalio Krasnogor; Dan Dumi
Название: Nature Inspired Cooperative Strategies for Optimization (NICSO 2011)
ISBN: 3642269915 ISBN-13(EAN): 9783642269912
Издательство: Springer
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Цена: 156720.00 T
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Описание: This book presents the latest ideas and techniques in nature inspired cooperative strategies, covering swarm intelligence; genetic algorithms; coevolution and cooperation; evolutionary design; hybrid algorithms and membrane computing (P-Systems) and more.

Автор: Yang Xin She
Название: Nature-Inspired Optimization Algorithms
ISBN: 0128100605 ISBN-13(EAN): 9780128100608
Издательство: Elsevier Science
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Цена: 83080.00 T
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Описание: Nature-Inspired Optimization Algorithms provides a systematic introduction to all major nature-inspired algorithms for optimization. The book's unified approach, balancing algorithm introduction, theoretical background and practical implementation, complements extensive literature with well-chosen case studies to illustrate how these algorithms work. Topics include particle swarm optimization, ant and bee algorithms, simulated annealing, cuckoo search, firefly algorithm, bat algorithm, flower algorithm, harmony search, algorithm analysis, constraint handling, hybrid methods, parameter tuning and control, as well as multi-objective optimization. This book can serve as an introductory book for graduates, doctoral students and lecturers in computer science, engineering and natural sciences. It can also serve a source of inspiration for new applications. Researchers and engineers as well as experienced experts will also find it a handy reference.