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Session F3H Teaching Deflection of Stepped Shafts: Castigliano's Theorem, Dummy Loads, Heaviside Step Functions and Numerical Integration
"... Abstract The need for finding the deflections of shafts, many of which are stepped or varying crosssectional areas is timeless. Each generation of engineers has used that part of mechanics of materials theory that fit the calculating capability available to them. The method presented here is offer ..."
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Abstract The need for finding the deflections of shafts, many of which are stepped or varying crosssectional areas is timeless. Each generation of engineers has used that part of mechanics of materials theory that fit the calculating capability available to them. The method presented here
For Use with MATLAB
"... the terms of the GNU Free Documentation License, Version 1.2 or any later version published by the Free Software Foundation; with no Invariant Sections, no FrontCover Texts, and no BackCover Texts. A copy of the license is included in the section entitled ”GNU Free Documentation License”. The Tim ..."
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the terms of the GNU Free Documentation License, Version 1.2 or any later version published by the Free Software Foundation; with no Invariant Sections, no FrontCover Texts, and no BackCover Texts. A copy of the license is included in the section entitled ”GNU Free Documentation License”. The TimeFrequency Toolbox has been mainly developed under the auspices of the French CNRS (Centre National de la Recherche Scientifique). It results from a research effort conducted within its Groupements de Recherche ”Traitement du Signal et Images ” (O. Macchi) and ”Information, Signal et Images ” (J.M. Chassery). Parts of the Toolbox have also been developed at Rice University, when one of the authors (PG) was visiting the Department of Electrical and Computer Engineering, supported by NSF. Supporting institutions are gratefully acknowledged, as well as M. Guglielmi, M. Najim,
Large Sample Sieve Estimation of SemiNonparametric Models
 Handbook of Econometrics
, 2007
"... Often researchers find parametric models restrictive and sensitive to deviations from the parametric specifications; seminonparametric models are more flexible and robust, but lead to other complications such as introducing infinite dimensional parameter spaces that may not be compact. The method o ..."
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Cited by 181 (19 self)
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of sieves provides one way to tackle such complexities by optimizing an empirical criterion function over a sequence of approximating parameter spaces, called sieves, which are significantly less complex than the original parameter space. With different choices of criteria and sieves, the method of sieves
MATLAB ® Demystifi ed
"... permitted under the United States Copyright Act of 1976, no part of this publication may be reproduced or distributed in any form or by any means, or stored in a database or retrieval system, without the prior written permission of the publisher. 0071510303 The material in this eBook also appears ..."
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permitted under the United States Copyright Act of 1976, no part of this publication may be reproduced or distributed in any form or by any means, or stored in a database or retrieval system, without the prior written permission of the publisher. 0071510303 The material in this eBook also appears in the print version of this title: 0071485511. All trademarks are trademarks of their respective owners. Rather than put a trademark symbol after every occurrence of a trademarked name, we use names in an editorial fashion only, and to the benefit of the trademark owner, with no intention of infringement of the trademark. Where such designations appear in this book, they have been printed with initial caps. McGrawHill eBooks are available at special quantity discounts to use as premiums and sales promotions, or for use in corporate
Dissimilarity representations in pattern recognition. Concepts, theory and applications
, 2005
"... ..."
A Survey of Dimension Reduction Techniques
, 2002
"... this paper, we assume that we have n observations, each being a realization of the p dimensional random variable x = (x 1 , . . . , x p ) with mean E(x) = = ( 1 , . . . , p ) and covariance matrix E{(x )(x = # pp . We denote such an observation matrix by X = i,j : 1 p, 1 ..."
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Cited by 137 (0 self)
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this paper, we assume that we have n observations, each being a realization of the p dimensional random variable x = (x 1 , . . . , x p ) with mean E(x) = = ( 1 , . . . , p ) and covariance matrix E{(x )(x = # pp . We denote such an observation matrix by X = i,j : 1 p, 1 n}. If i and # i = # (i,i) denote the mean and the standard deviation of the ith random variable, respectively, then we will often standardize the observations x i,j by (x i,j i )/ # i , where i = x i = 1/n j=1 x i,j , and # i = 1/n j=1 (x i,j x i )
Topology optimization with implicit functions and regularization
 INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING 2003
, 2003
"... Topology optimization is formulated in terms of the nodal variables that control an implicit function description of the shape. The implicit function is constrained by upper and lower bounds, so that only a band of nodal variables needs to be considered in each step of the optimization. The weak for ..."
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Cited by 33 (2 self)
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Topology optimization is formulated in terms of the nodal variables that control an implicit function description of the shape. The implicit function is constrained by upper and lower bounds, so that only a band of nodal variables needs to be considered in each step of the optimization. The weak
An Unconditionally Stable OneStep Scheme for Gradient Systems
, 1997
"... A semiimplicit time discretization of gradient flows is given and analyzed. It is shown that the scheme is unconditionally gradient stable and that the discrete equations are uniquely solvable for all time steps. The key feature of the method is a separation of the contractive and expansive terms o ..."
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Cited by 36 (0 self)
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A semiimplicit time discretization of gradient flows is given and analyzed. It is shown that the scheme is unconditionally gradient stable and that the discrete equations are uniquely solvable for all time steps. The key feature of the method is a separation of the contractive and expansive terms
Dynamic modelling of microturbine generation systems using MATLAB/SIMULIN
, 2004
"... Abstract. Utility restructuring, technology evolution, public environmental policy, and expanding power demand are providing the opportunity for microturbines to become important energy resources. In order to investigate the ability of microturbine units in distribution systems, new simulation tools ..."
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Cited by 4 (0 self)
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is implemented in a simulation software. In this research the simulation tool is Matlab/Simulink. Also the systems standalone dynamic performances is analyzed and evaluated.
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