Lupe
Suche

Andrew J. Kurdila & Panos M. Pardalos 
Robust Optimization-Directed Design 

Support
Adobe DRM
Cover von Andrew J. Kurdila & Panos M. Pardalos: Robust Optimization-Directed Design (PDF)



(4.4 / 5.0 – 3 Kundenbewertungen)

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.

€106.99
Zahlungsmethoden

Inhaltsverzeichnis

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: CVa R Regression Approach, Part I.- Combining Model and Test Data for Optimal Determination of Percentiles and Allowables: CVa R Regression Approach, Part II.- Semidefinite Programming for Sensor Network and Graph Localization.
Sprache Englisch ● Format PDF ● Seiten 275 ● ISBN 9780387286549 ● Dateigröße 13.4 MB ● Alter 02-99 Jahre ● Herausgeber Andrew J. Kurdila & Panos M. Pardalos ● Verlag Springer US ● Ort NY ● Land US ● Erscheinungsjahr 2006 ● herunterladbar 24 Monate ● Währung EUR ● ID 2144485 ● Kopierschutz Adobe DRM
erfordert DRM-fähige Lesetechnologie

Ebooks vom selben Autor / Herausgeber

1643 Ebooks in dieser Kategorie