Online Public Access Catalogue (OPAC)
Library,Documentation and Information Science Division

“A research journal serves that narrow

borderland which separates the known from the unknown”

-P.C.Mahalanobis


Normal view MARC view ISBD view

Robust Optimization-Directed Design [electronic resource] / edited by Andrew J. Kurdila, Panos M. Pardalos, Michael Zabarankin.

Contributor(s): Kurdila, Andrew J [editor.] | Pardalos, Panos M [editor.] | Zabarankin, Michael [editor.] | SpringerLink (Online service).
Material type: TextTextSeries: Nonconvex Optimization and Its Applications: 81Publisher: Boston, MA : Springer US, 2006Description: IX, 275 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9780387286549.Subject(s): Mathematical optimization | Mathematics | Systems theory | Optimization | Applications of Mathematics | Systems Theory, ControlAdditional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification: 519.6 Online resources: Click here to access online
Contents:
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.
In: Springer eBooksSummary: 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. Audience .
Tags from this library: No tags from this library for this title. Log in to add tags.
Item type Current location Call number Status Date due Barcode Item holds
E-BOOKS E-BOOKS ISI Library, Kolkata
 
Available EB1259
Total holds: 0

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.

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. Audience .

There are no comments for this item.

Log in to your account to post a comment.
Library, Documentation and Information Science Division, Indian Statistical Institute, 203 B T Road, Kolkata 700108, INDIA
Phone no. 91-33-2575 2100, Fax no. 91-33-2578 1412, ksatpathy@isical.ac.in


Visitor Counter