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Springer 2008 Stochastic Optimization Methods, 2ed.pdf

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文档介绍

文档介绍:Stochastic Optimization Methods
Second edition
Kurt Marti
Stochastic Optimization
Methods
Second edition
123
Univ. Prof. Dr. Kurt Marti
Federal Armed Forces
University Munich
Department of Aerospace Engineering and Technology
85577 Neubiberg/München
Germany
kurt.******@unibw-
ISBN: 978-3-540-79457-8 e-ISBN: 978-3-540-79458-5
Library of Congress Control Number: 2008925523
°c 2008 Springer-Verlag Berlin Heidelberg
This work is subject to copyright. All rights are reserved, whether the whole or part of the material is
concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting,
reproduction on microfilm or in any other way, and storage in data banks. Duplication of this publication
or parts thereof is permitted only under the provisions of the German Copyright Law of September 9,
1965, in its current version, and permission for use must always be obtained from Springer. Violations are
liable to prosecution under the German Copyright Law.
The use of general descriptive names, registered names, trademarks, etc. in this publication does not imply,
even in the absence of a specific statement, that such names are exempt from the relevant protective laws
and regulations and therefore free for general use.
Cover design: WMXDesign GmbH, Heidelberg
Printed on acid-free paper
9 8 7 6 5 4 3 2
Preface
Optimization problems in practice depend mostly on several model parame-
ters, noise factors, uncontrollable parameters, etc., which are not given fixed
quantities at the planning stage. Typical examples from engineering and eco-
nomics/operations research are: Material parameters (. elasticity moduli,
yield stresses, allowable stresses, moment capacities, and specific gravity), ex-
ternal loadings, friction coefficients, moments of inertia, length of links, mass
of links, location of center of gravity of links, manufacturing errors, tolerances,
noise terms, demand parameters, technologic