Jie Li Stochastic Dynamics of Structures
Купить за 17734.44 RUR
In Stochastic Dynamics of Structures, Li and Chen present a unified view of the theory and techniques for stochastic dynamics analysis, prediction of reliability, and system control of structures within the innovative theoretical framework of physical stochastic systems. The authors outline the
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Abdelkhalak El Hami Stochastic Dynamics of Structures
Купить за 15408.7 RUR
This book is dedicated to the general study of the dynamics of mechanical structures with consideration of uncertainties. The goal is to get the appropriate forms of a part in minimizing a given criterion. In all fields of structural mechanics, the impact of good design of a room is very important
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Cho W. S. To Stochastic Structural Dynamics. Application of Finite Element Methods
Купить за 13393.2 RUR
One of the first books to provide in-depth and systematic application of finite element methods to the field of stochastic structural dynamics The parallel developments of the Finite Element Methods in the 1950’s and the engineering applications of stochastic processes in the 1940’s provided a
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Cho W. S. To Introduction to Dynamics and Control in Mechanical Engineering Systems
Купить за 9684.31 RUR
One of the first books to provide in-depth and systematic application of finite element methods to the field of stochastic structural dynamics The parallel developments of the Finite Element Methods in the 1950’s and the engineering applications of stochastic processes in the 1940’s provided a
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Abdelkhalak El Hami Dynamics of Large Structures and Inverse Problems
Купить за 15388.02 RUR
This book deals with the various aspects of stochastic dynamics, the resolution of large mechanical systems, and inverse problems. It integrates the most recent ideas from research and industry in the field of stochastic dynamics and optimization in structural mechanics over 11 chapters. These
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Jie Jack Li The Art of Drug Synthesis
Купить за 12931.36 RUR
The Art of Drug Synthesis illustrates how chemistry, biology, pharmacokinetics, and a host of other disciplines come together to produce successful medicines. The authors have compiled a collection of 21 representative categories of drugs, from which they have selected as examples many of the
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Reinhard Mahnke Physics of Stochastic Processes
Купить за 11955.7 RUR
Based on lectures given by one of the authors with many years of experience in teaching stochastic processes, this textbook is unique in combining basic mathematical and physical theory with numerous simple and sophisticated examples as well as detailed calculations. In addition, applications from
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Jie Jack Li Name Reactions of Functional Group Transformations
Купить за 19168.89 RUR
This practical, well-organized reference delves deeply into functional group transformations, to provide all the detailed information that researchers need. Topics are organized into the following sections: oxidation, reduction, asymmetric synthesis, and functional group manipulations Each section
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Oliver Ibe C. Fundamentals of Stochastic Networks
Купить за 13543.57 RUR
An interdisciplinary approach to understanding queueing and graphical networks In today's era of interdisciplinary studies and research activities, network models are becoming increasingly important in various areas where they have not regularly been used. Combining techniques from stochastic
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Michael J. Panik Stochastic Differential Equations
Купить за 13097.81 RUR
A beginner’s guide to stochastic growth modeling The chief advantage of stochastic growth models over deterministic models is that they combine both deterministic and stochastic elements of dynamic behaviors, such as weather, natural disasters, market fluctuations, and epidemics. This makes
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Experimental model of stochastic phenomenon demonstration, velocity of gas molecules
Купить за 137244.57 RUR
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Fabrizio Ruggeri Bayesian Analysis of Stochastic Process Models
Купить за 9383.49 RUR
Bayesian analysis of complex models based on stochastic processes has in recent years become a growing area. This book provides a unified treatment of Bayesian analysis of models based on stochastic processes, covering the main classes of stochastic processing including modeling, computational,
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