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Titlebook: Large-Scale Optimization with Applications; Part II: Optimal Des Lorenz T. Biegler,Thomas F. Coleman,Fadil N. Santo Book 1997 Springer-Verl

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书目名称Large-Scale Optimization with Applications
副标题Part II: Optimal Des
编辑Lorenz T. Biegler,Thomas F. Coleman,Fadil N. Santo
视频video
丛书名称The IMA Volumes in Mathematics and its Applications
图书封面Titlebook: Large-Scale Optimization with Applications; Part II: Optimal Des Lorenz T. Biegler,Thomas F. Coleman,Fadil N. Santo Book 1997 Springer-Verl
描述This IMA Volume in Mathematics and its Applications LARGE-SCALE OPTIMIZATION WITH APPLICATIONS, PART II: OPTIMAL DESIGN AND CONTROL is one of the three volumes based on the proceedings of the 1995 IMA three­ week Summer Program on "Large-Scale Optimization with Applications to Inverse Problems, Optimal Control and Design, and Molecular and Struc­ tural Optimization." The other two related proceedings appeared as Vol­ ume 92: Large-Scale Optirpization with Applications, Part I: Optimization in Inverse Problems and Design and Volume 94: Large-Scale Optimization with Applications, Part III: Molecular Structure and Optimization. We would like to thank Lorenz T. Biegler, Thomas F. Coleman, An­ drew R. Conn, and Fadil N. Santosa for their excellent work as organizers of the meetings and for editing the proceedings. We also take this opportunity to thank the National Science Founda­ tion (NSF), the Department of Energy (DOE), and the Alfred P. Sloan support made the workshops possible.
出版日期Book 1997
关键词Optimal control; Optimization algorithm; Optimization algorithms; algorithm; algorithms; chemical enginee
版次1
doihttps://doi.org/10.1007/978-1-4612-1960-6
isbn_softcover978-1-4612-7356-1
isbn_ebook978-1-4612-1960-6Series ISSN 0940-6573 Series E-ISSN 2198-3224
issn_series 0940-6573
copyrightSpringer-Verlag New York, Inc. 1997
The information of publication is updating

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A Multiplier-Free, Reduced Hessian Method for Process Optimizationhrough the use of sparse matrix factorizations. The algorithm has the same superlinear and global properties as the reduced Hessian method developed in [4]. Here we summarize these properties and demonstrate the performance of the multiplier-free SQP method through numerical experiments.
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Numerical Optimal Control of Parabolic PDES Using DASOPTr DAEs. Special techniques are needed in order to solve this very large optimal control problem. The use of DASOPT is illustrated by its application to a nonlinear parabolic PDE boundary control problem in two spatial dimensions. Computational results with and without bounds on the state variables are presented.
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Deterministic Global Optimization in Design, Control, and Computational Chemistrye nonlinear optimization problems. For the majority of the presented methods nondistributed global optimization approaches are discussed with the exception of decomposition-based methods where a distributed global optimization approach is presented.
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The Development of the SQP Algorithm for Nonlinear Programmingand ensuring global and superlinear convergence. It then discusses the problems which arise in applying the SQP algorithm to large-scale problems, and finally describes a new algorithm which circumvents these problems.
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Some Aspects of Sequential Quadratic Programming Methodscurrently the method of choice when solving small or medium-sized problems. Over the last fifteen years several implementations have been written to solve specific applications in which large problems arise. Recently there have been some general purpose implementations..We focus on two aspects of SQ
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