Robust optimization-directed design
著者
書誌事項
Robust optimization-directed design
(Nonconvex optimization and its applications, v. 81)
Springer, c2006
- : paperback
大学図書館所蔵 全6件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
  スイス
  フランス
  ベルギー
  オランダ
  スウェーデン
  ノルウェー
  アメリカ
注記
Includes bibliographical references
内容説明・目次
内容説明
Robust design-that is, managing design uncertainties such as model uncertainty or parametric uncertainty-is the often unpleasant issue crucial in much multidisciplinary optimal design work. Recently, there has been enormous practical interest in strategies for applying optimization tools to the development of robust solutions and designs in several areas, including aerodynamics, the integration of sensing (e.g., laser radars, vision-based systems, and millimeter-wave radars) and control, cooperative control with poorly modeled uncertainty, cascading failures in military and civilian applications, multi-mode seekers/sensor fusion, and data association problems and tracking systems. The contributions to this book explore these different strategies. The expression "optimization-directed" in this book's title is meant to suggest that the focus is not agonizing over whether optimization strategies identify a true global optimum, but rather whether these strategies make significant design improvements.
目次
A Multigrid Approach to Optimal Control Computations for Navier-Stokes Flows.- Control System Radii and Robustness Under Approximation.- Equilibrium Analysis for a Network Market Model.- Distributed Solution of Optimal Control Problems Governed by Parabolic Equations.- Modeling and Implementation of Risk-Averse Preferences in Stochastic Programs Using Risk Measures.- Shape Optimization of Electrodes for Piezoelectric Actuators.- Robust Static Super-Replication of Barrier Options in the Black-Scholes model.- Numerical Techniques in Relaxed Optimization Problems.- Combining Model and Test Data for Optimal Determination of Percentiles and Allowables: CVaR Regression Approach, Part I.- Combining Model and Test Data for Optimal Determination of Percentiles and Allowables: CVaR Regression Approach, Part II.- Semidefinite Programming for Sensor Network and Graph Localization.
「Nielsen BookData」 より