Robust Optimization-Directed Design by Andrew J Kurdila
Robust designthat is, managing design uncertainties such as model uncertainty or parametric uncertaintyis the often unpleasant issue crucial in much multidisciplinary optimal design work.-
If God Spare My Life
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Convexification and Global Optimization in Continuous and Mixed-Integer Nonlinear Programming
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Topological Aspects of Nonsmooth Optimization
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Variational and Hemivariational Inequalities Theory, Methods and Applications
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Bi-Level Strategies in Semi-Infinite Programming
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Nonconvex Optimization in Mechanics
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Nondifferentiable Optimization and Polynomial Problems
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Deterministic Global Optimization
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Stochastic Decomposition
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Stochastic Adaptive Search for Global Optimization
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Minimax Theorems and Qualitative Properties of the Solutions of Hemivariational Inequalities
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Optimization Methods for a Stakeholder Society
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Smooth Nonlinear Optimization in Rn
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Optimization on Low Rank Nonconvex Structures
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Equilibrium Problems and Variational Models
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Noniterative Coordination in Multilevel Systems
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Frontiers in Global Optimization
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Generalized Convexity and Vector Optimization
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Global Optimization with Non-Convex Constraints
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Optimum Design 2000
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Minimax and Applications
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Nonlinear Optimization in Finite Dimensions
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Generalized Convexity, Generalized Monotonicity: Recent Results
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Quasidifferentiability and Nonsmooth Modelling in Mechanics, Engineering and Economics
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Advances in Convex Analysis and Global Optimization
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Semi-Infinite Programming
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An Introduction to Minimax Theorems and Their Applications to Differential Equations
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From Convexity to Nonconvexity
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Practical Bilevel Optimization
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Stochastic Approximation and Its Applications
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Optimization in Computational Chemistry and Molecular Biology
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Equilibrium Problems: Nonsmooth Optimization and Variational Inequality Models
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Variational and Non-variational Methods in Nonlinear Analysis and Boundary Value Problems
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Developments in Global Optimization
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Finite Element Method for Hemivariational Inequalities
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Advances in Optimization and Approximation
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Complementarity, Equilibrium, Efficiency and Economics
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Introduction to the Theory of Games
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Abstract Convexity and Global Optimization
ROY R. CRAIG JR., PHD, is Professor Emeritus of Aerospace Engineering and Engineering Mechanics at The University of Texas at Austin. He has received numerous teaching awards and has worked in industry at Boeing, NASA, and Exxon Production Research Corporation, among others.
ANDREW J. KURDILA, PHD, is the W. Martin Johnson Professor of Mechanical Engineering at the Virginia Polytechnic Institute and State University. His current research focuses on structural dynamics, dynamic systems theory, control theory, and computational mechanics.
| SKU | Unavailable |
| ISBN 13 | 9780387282633 |
| ISBN 10 | 0387282637 |
| Title | Robust Optimization-Directed Design |
| Author | Andrew J Kurdila |
| Series | Nonconvex Optimization And Its Applications |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Springer-Verlag New York Inc. |
| Year published | 2005-12-02 |
| Number of pages | 275 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |