Large-Scale Optimization with Applications: Optimal Design and Control, Part 2

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Lorenz T. Biegler
Springer Science & Business Media, 1997 - Mathematics - 324 pages
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With contributions by specialists in optimization and practitioners in the fields of aerospace engineering, chemical engineering and fluid and solid mechanics, the major themes of this work 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. This is the second volume in the series.
 

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Contents

THE DEVELOPMENT OF THE SQP ALGORITHM FOR NONLINEAR PROGRAMMING
1
SOME ASPECTS OF SEQUENTIAL QUADRATIC PROGRAMMING METHODS
21
COMPUTING SPARSE HESSIAN AND JACOBIAN APPROXIMATIONS WITH OPTIMAL HEREDITARY PROPERTIES
37
EXPERIENCE WITH A SPARSE NONLINEAR PROGRAMMING ALGORITHM
53
A SURVEY OF ALGORITHMS AND APPLICATIONS
73
A MULTIPLIERFREE REDUCED HESSIAN METHOD FOR PROCESS OPTIMIZATION
101
DETERMINISTIC GLOBAL OPTIMIZATION IN DESIGN CONTROL AND COMPUTATIONAL CHEMISTRY
129
OPTIMIZATION PROBLEMS IN MODEL PREDICTIVE CONTROL
185
SOME RECENT DEVELOPMENTS IN COMPUTATIONAL OPTIMAL CONTROL
203
LARGESCALE STRUCTURAL DESIGN OPTIMIZATION
235
LARGESCALE SQP METHODS FOR OPTIMIZATION OF NAVIERSTOKES FLOWS
247
NUMERICAL OPTIMAL CONTROL OF PARABOLIC PDES USING DASOPT
271
THE PROMISE AND REALITY OF MULTIDISCIPLINARY DESIGN OPTIMIZATION
301
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About the author (1997)

Lorenz T. Biegler is the Bayer Professor of Chemical Engineering at Carnegie Mellon University and a Fellow of the American Institute of Chemical Engineers. He has authored or coauthored over 200 journal articles and two books. His research interests lie in the field of computer-aided process engineering, including flowsheet optimization, optimization of systems of differential and algebraic equations, reactor network synthesis and algorithms for constrained, nonlinear process control.

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