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Titlebook: Numerical Methods for Experimental Mechanics; Donald Berghaus Book 2001 Springer Science+Business Media New York 2001 Approximation.comput

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書目名稱Numerical Methods for Experimental Mechanics
編輯Donald Berghaus
視頻videohttp://file.papertrans.cn/670/669062/669062.mp4
圖書封面Titlebook: Numerical Methods for Experimental Mechanics;  Donald Berghaus Book 2001 Springer Science+Business Media New York 2001 Approximation.comput
描述The purpose of this book is to place a resource in the hands of experimental mechanics researchers to enable them to understand and to obtain a working familiarity with certain of the numerical methods particularly useful to the field. The book is organized to permit readers to study the methods and to observe their application in experimental problems. It is also intended to encourage readers to directly apply the methods to the same problems or to similar problems of their choosing. To this end, computer programs are available electronically, together with data, for easy application. Program listings are given in the appendix. There are four chapters which make up the central coverage of the text. The first of these deals with least-square methods of problem solution, both for curve fitting and for general solution of overdetermined problems. Nonlinear least-squares methods are included. Secondly, splines; specifically smoothed splines, are covered, including specification of boundary conditions for the latter. Use for differentiation is emphasized with attention to control of possible excesses in smoothing. Transform methods are the third major area covered; both the Discrete Fo
出版日期Book 2001
關鍵詞Approximation; computer; deformation; discrete Fourier transform (DFT); elasticity; Fourier transform; mec
版次1
doihttps://doi.org/10.1007/978-1-4615-1473-2
isbn_softcover978-1-4613-5571-7
isbn_ebook978-1-4615-1473-2
copyrightSpringer Science+Business Media New York 2001
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The Smoothed Spline,lose fits to the data and as being desirable for performance of subsequent calculations. The cubic spline is described as a piecewise function with controlled curvature and good continuity conditions over a data span.
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https://doi.org/10.1007/978-1-4615-1473-2Approximation; computer; deformation; discrete Fourier transform (DFT); elasticity; Fourier transform; mec
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Digital Filters,Digital filters are developed as a tool for removing frequency components above a cutoff frequency for a discrete data “signal” Filtering is presented to improve the remaining signal for simple observation or for performing data processing operations using the signal.
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