Large-Scale Optimization with Applications: Part II: Optimal Design and Control (The IMA Volumes in Mathematics and its Applications)

Biegler, Lorenz T. (Editor) / Coleman, Thomas F. (Editor) / Conn, Andrew R. (Editor) / Santosa, Fadil N. (Editor)

ISBN 10: 1461273560 / ISBN 13: 9781461273561

Editore: Springer, 2012

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339 pages. 9.25x6.10x0.80 inches. In Stock.

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Dati bibliografici

• Titolo: Large-Scale Optimization with Applications: Part II: Optimal Design and Control (The IMA Volumes in Mathematics and its Applications)
• Editore: Springer
• Data di pubblicazione: 2012
• Lingua: Inglese
• ISBN 10: 1461273560
• ISBN 13: 9781461273561
• Rilegatura: Paperback
• Condizione: Brand New
• Peso: 0,53 chilogrammi

Descrizione articolo

Riassunto

With contributions by specialists in optimization and practitioners in the fields of aerospace engineering, chemical engineering, and fluid and solid mechanics, the major themes include an assessment of the state of the art in optimization algorithms as well as challenging applications in design and control, in the areas of process engineering and systems with partial differential equation models.

Contenuti

Large-Scale Optimization with Applications, Part II: Optimal Design and Contro l.- The development of the SQP algorithm for nonlinear programming.- Some aspects of sequential quadratic programming methods.- Computing sparse Hessian and Jacobian approximations with optimal hereditary properties.- Experience with a sparse nonlinear programming algorithm.- Mixed-integer nonlinear programming: A survey of algorithms and applications.- A Multiplier-free, reduced Hessian method for process optimization.- Deterministic global optimization in design, control, and computational chemistry.- Optimization problems in model predictive control.- Some recent developments in computational optimal control.- Large-scale structural design optimization.- Large-scale SQP methods for optimization of Navier-Stokes flows.- Numerical optimal control of parabolic PDEs using DASOPT.- The promise (and reality) of multidisciplinary design optimization.