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Convex models of uncertainty in applied mechanics

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Published by Elsevier in Amsterdam, New York .
Written in English

Subjects:

  • Convex sets.,
  • Probabilities.,
  • Mechanics, Applied.

Book details:

Edition Notes

Includes bibliographical references (p. 199-214).

StatementYakov Ben-Haim and Isaac Elishakoff.
SeriesStudies in applied mechanics ;, 25
ContributionsElishakoff, Isaac.
Classifications
LC ClassificationsQA640 .B45 1990
The Physical Object
Paginationxvii, 221 p. :
Number of Pages221
ID Numbers
Open LibraryOL2227473M
ISBN 100444884068
LC Control Number89077748

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Read the latest chapters of Studies in Applied Mechanics at , Elsevier’s leading platform of peer-reviewed scholarly literature Convex Models of Uncertainty in Applied Mechanics. Edited by Yakov Ben-Haim, Isaac Elishakoff. Vol Pages () Book chapter Full text access Chapter 5 - Concluding Remarks Pages. Convex Models of Uncertainty in Applied Mechanics by Yakov Ben-Haim, , available at Book Depository with free delivery worldwide. Try the new Google Books. Check out the new look and enjoy easier access to your favorite features IndieBound; Find in a library; All sellers» Convex models of uncertainty in applied mechanics. Yakov Ben-Haim, Isaac Elishakoff. Elsevier, - Psychology - pages. 0 Reviews. From inside the book. What people are Convex Models of. From Reviews of Convex Models of Uncertainty in Applied Mechanics “This book deals with a fundamental problem in Applied Mechanics and Engineering Sciences. This book is written with clarity and contains original and important results for the engineering sciences.” Prof. P.D. Panagiotopoulous. Thessaloniki-Aachen. From SIAM Review.

From Reviews of Convex Models of Uncertainty in Applied Mechanics "This book deals with a fundamental problem in Applied Mechanics and Engineering Sciences. This book is written with clarity and contains original and important results for the engineering sciences." Prof. P.D. Panagiotopoulous. Thessaloniki-Aachen. From SIAM Review. I. Elishakoff and P. Colombi: , ‘Combination of Probabilistic and Convex Models of Uncertainty when Scarce Knowledge is Present on Acoustic Excitation Parameters’,Computer Methods in Applied Mechanics and Engineering,, – Google Scholar. Uncertainty Analysis. Ben-Hain and Elishakoff (), Elishakoff et al. () applied convex analysis to model uncertainty. Examples. The following problem classes are all convex optimization problems, or can be reduced to convex optimization problems via simple transformations: A hierarchy of convex optimization problems. Izuru Takewaki, in Critical Excitation Methods in Earthquake Engineering (Second Edition), Convex Models. A convex model is defined mathematically as a set of functions. Each function is a realization of an uncertain event. Several interesting convex models were proposed by Ben-Haim and Elishakoff (), Ben-Haim et al. (), Pantelides and Tzan (), Tzan .

Determinant Sums for Undirected Hamiltonicity News and Notices A Matrix Eigenvalue Problem (G. Efroymson, A. Steger and S. Steinberg)Author: P. D. Panagiotopoulos. Convex Models of Uncertainty in Applied Yakov Ben-Haim; Isaac Elishakoff Author: Review by: P. D. Panagiotopoulos Journal: SIAM Review. Convex Models of Uncertainty in Applied Mechanics 作者: Yakov Ben-Haim / Isaac Elishakoff 出版社: Elsevier Publishing Company 出版年: 定价: USD 装帧: Hardcover ISBN: Additional Physical Format: Online version: Ben-Haim, Yakov, Convex models of uncertainty in applied mechanics. Amsterdam ; New York: Elsevier,