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Convex Functional Analysis
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ISBN: 1280263768 9786610263769 3764373571 3764321989 Year: 2005 Publisher: Basel : Birkhäuser Basel : Imprint: Birkhäuser,

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This volume is dedicated to the fundamentals of convex functional analysis. It presents those aspects of functional analysis that are extensively used in various applications to mechanics and control theory. The purpose of the text is essentially two-fold. On the one hand, a bare minimum of the theory required to understand the principles of functional, convex and set-valued analysis is presented. Numerous examples and diagrams provide as intuitive an explanation of the principles as possible. On the other hand, the volume is largely self-contained. Those with a background in graduate mathematics will find a concise summary of all main definitions and theorems. Contents: Classical Abstract Spaces in Functional Analysis Linear Functionals and Linear Operators Common Function Spaces in Applications Differential Calculus in Normed Vector Spaces Minimization of Functionals Convex Functionals Lower Semicontinuous Functionals.

Fundamentals of structural dynamics
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ISBN: 9780471430445 0471430447 Year: 2006 Publisher: Hoboken John Wiley & Sons, Inc.

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Dynamics and control of robotic systems
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ISBN: 9781119524830 Year: 2020 Publisher: Hoboken, NJ : Wiley,

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Robust optimization-directed design
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ISBN: 1280609354 9786610609352 0387286543 0387282637 1461498341 Year: 2006 Publisher: New York : Springer,

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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 .

Multiscale wavelet methods for partial differential equations
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ISBN: 0122006755 9780122006753 9780080537146 0080537146 1281076791 9781281076793 9786611076795 Year: 1997 Publisher: San Diego Academic Press

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This latest volume in the Wavelets Analysis and Its Applications Series provides significant and up-to-date insights into recent developments in the field of wavelet constructions in connection with partial differential equations. Specialists in numerical applications and engineers in a variety of fields will find Multiscale Wavelet for Partial Differential Equations to be a valuable resource.Key Features* Covers important areas of computational mechanics such as elasticity and computational fluid dynamics* Includes a clear study of turbulence modeling* Contains rece

Multiscale wavelet methods for partial differential equations
Authors: --- ---
ISBN: 0122006755 9780122006753 9780080537146 0080537146 1281076791 9781281076793 Year: 1997 Publisher: San Diego, Calif. Academic Press

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This latest volume in the Wavelets Analysis and Its Applications Series provides significant and up-to-date insights into recent developments in the field of wavelet constructions in connection with partial differential equations. Specialists in numerical applications and engineers in a variety of fields will find Multiscale Wavelet for Partial Differential Equations to be a valuable resource. Key Features * Covers important areas of computational mechanics such as elasticity and computational fluid dynamics * Includes a clear study of turbulence modeling * Contains recent research on multiresolution analyses with operator-adapted wavelet discretizations * Presents well-documented numerical experiments connected with the development of algorithms, useful in specific applications.


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Convex Functional Analysis
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ISBN: 9783764373573 Year: 2005 Publisher: Basel Birkhäuser Basel

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This volume is dedicated to the fundamentals of convex functional analysis. It presents those aspects of functional analysis that are extensively used in various applications to mechanics and control theory. The purpose of the text is essentially two-fold. On the one hand, a bare minimum of the theory required to understand the principles of functional, convex and set-valued analysis is presented. Numerous examples and diagrams provide as intuitive an explanation of the principles as possible. On the other hand, the volume is largely self-contained. Those with a background in graduate mathematics will find a concise summary of all main definitions and theorems. Contents: Classical Abstract Spaces in Functional Analysis Linear Functionals and Linear Operators Common Function Spaces in Applications Differential Calculus in Normed Vector Spaces Minimization of Functionals Convex Functionals Lower Semicontinuous Functionals


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Convex Functional Analysis
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ISBN: 9783764373573 Year: 2005 Publisher: Basel Birkhäuser Verlag

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Robust Optimization-Directed Design
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ISBN: 9780387286549 Year: 2006 Publisher: Boston, MA Springer Science+Business Media, Inc

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Robust Optimization-Directed Design
Authors: --- --- ---
ISBN: 9780387286549 Year: 2006 Publisher: Boston, MA Springer Science+Business Media, Inc.

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Abstract

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

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