Influence Function Approach
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Influence Functions And Matrices
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Author : Yuri Melnikov
language : en
Publisher: Routledge
Release Date : 2017-10-05
Influence Functions And Matrices written by Yuri Melnikov and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-05 with Science categories.
""Analyzes a wide range of problem classes originating in applied mechanics, stressing the use of influence (Green's) functions in their analysis. Provides an extensive list of influence functions and matrices-several in print for the first time. Addresses areas such as fluid flow, acoustics, electromagnetism, heat transfer, and elasticity.
Influence Function Approach
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Author : Y.A. Melnikov
language : en
Publisher: WIT Press
Release Date : 2008-02-07
Influence Function Approach written by Y.A. Melnikov and has been published by WIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-02-07 with Technology & Engineering categories.
Structural mechanics is the study of the effects that forces of different physical origin (mechanical, thermal, magnetic and so on) produce on elements of structures such as cables, pillars, beams, plates and shells. This text represents the first ever attempt to include in a book format a number of standard problems from structural mechanics, which are treated by means of a single mathematical approach that is novel in the field. The influence (Green's) function method constitutes the basis for this approach. The material in this volume is based on the implementation of two important notions taken from different sciences. One of them (the influence function of a point concentrated force) is brought from structural mechanics, while the other (the Green’s function of a boundary-value problem) is taken from mathematics. They are closely related to each other, and their relation represents the keystone in this text. Bringing these notions together allows us to create a single methodological approach to a variety of problems in structural mechanics, makes their analysis easier and builds up a solid foundation for some further developments in the field. In presenting the material in this text, it was presumed that the reader's background is equally solid in undergraduate mathematics and mechanics. The reader is assumed to be relatively fluent in differential and integral calculus and to possess, at the same time, workable knowledge of the fundamental principles of statics and dynamics. Each chapter contains extensive ‘end chapter exercises’ specifically developed for each chapter, with answers and comments available in the Appendix.
What Is Kurtosis
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Author : David Ruppert
language : en
Publisher:
Release Date : 1985
What Is Kurtosis written by David Ruppert and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1985 with Mathematical statistics categories.
Modified Influence Function Method Mif For Weapn Separation Prediction
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Author : Mark A. Pinney
language : en
Publisher:
Release Date : 1994
Modified Influence Function Method Mif For Weapn Separation Prediction written by Mark A. Pinney and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Airplanes, Military categories.
Robust Statistics
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Author : Frank R. Hampel
language : en
Publisher: John Wiley & Sons
Release Date : 2011-09-20
Robust Statistics written by Frank R. Hampel and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-09-20 with Mathematics categories.
The Wiley-Interscience Paperback Series consists of selectedbooks that have been made more accessible to consumers in an effortto increase global appeal and general circulation. With these newunabridged softcover volumes, Wiley hopes to extend the lives ofthese works by making them available to future generations ofstatisticians, mathematicians, and scientists. "This is a nice book containing a wealth of information, much ofit due to the authors. . . . If an instructor designing such acourse wanted a textbook, this book would be the best choiceavailable. . . . There are many stimulating exercises, and the bookalso contains an excellent index and an extensive list ofreferences." —Technometrics "[This] book should be read carefully by anyone who isinterested in dealing with statistical models in a realisticfashion." —American Scientist Introducing concepts, theory, and applications, RobustStatistics is accessible to a broad audience, avoidingallusions to high-powered mathematics while emphasizing ideas,heuristics, and background. The text covers the approach based onthe influence function (the effect of an outlier on an estimater,for example) and related notions such as the breakdown point. Italso treats the change-of-variance function, fundamental conceptsand results in the framework of estimation of a single parameter,and applications to estimation of covariance matrices andregression parameters.
Influence Functions And Matrices
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Author : Yuri Melnikov
language : en
Publisher: Routledge
Release Date : 2017-10-05
Influence Functions And Matrices written by Yuri Melnikov and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-05 with Science categories.
""Analyzes a wide range of problem classes originating in applied mechanics, stressing the use of influence (Green's) functions in their analysis. Provides an extensive list of influence functions and matrices-several in print for the first time. Addresses areas such as fluid flow, acoustics, electromagnetism, heat transfer, and elasticity.
Interpretable Machine Learning
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Author : Christoph Molnar
language : en
Publisher: Lulu.com
Release Date : 2020
Interpretable Machine Learning written by Christoph Molnar and has been published by Lulu.com this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Artificial intelligence categories.
This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like feature importance and accumulated local effects and explaining individual predictions with Shapley values and LIME. All interpretation methods are explained in depth and discussed critically. How do they work under the hood? What are their strengths and weaknesses? How can their outputs be interpreted? This book will enable you to select and correctly apply the interpretation method that is most suitable for your machine learning project.
Influence Function And Its Application To Data Validation
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Author :
language : en
Publisher:
Release Date : 1979
Influence Function And Its Application To Data Validation written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1979 with Mathematics categories.
Recent Development In The Application Of The Influence Function Method For Ground Movement Predictions In The U S
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Author : M. Karmis
language : en
Publisher:
Release Date : 1977
Recent Development In The Application Of The Influence Function Method For Ground Movement Predictions In The U S written by M. Karmis and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1977 with Coal categories.
Statics And Influence Functions From A Modern Perspective
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Author : Friedel Hartmann
language : en
Publisher: Springer
Release Date : 2017-03-04
Statics And Influence Functions From A Modern Perspective written by Friedel Hartmann and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-03-04 with Science categories.
The book teaches engineers many new things about a classical topic which suddenly is again in the center of interest because of its relevance for finite element analysis, for the accuracy of computational methods. It shows that influence functions play a fundamental role in the finite element analysis of structures and practically all of linear computational mechanics. It also strives to add new and important insights into modern structural analysis and into computational mechanics by establishing the central role of influence functions for the numerical analysis and to lay a new foundation to the energy and variational principles.