Large-Scale Optimization with Applications Pt. 1 : Optimization in Inverse Problems and Design

Optimization in Inverse Problems and Design

By: Lorenz T. Biegler (Editor), Thomas F. Coleman (Editor), Andrew R. Conn (Editor)

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Hardcover | 1 August 1997

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352 Pages

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24.77 x 17.15 x 2.54

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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.

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Foreword
General Preface for Large-Scale Optimization with Applications, Parts I, II, and III
Preface for Part III


CGU: An algorithm for molecular structure prediction
Potential transformation method for global optimization
Multispace search for protein folding
Modeling the structure of ice as a problem in global minimization
Novel applications of optimization to molecule design
Issues in large-scale global molecular optimization
Global minimization of Lennard-Jones functions on transputer networks
Variable-scale coarse-graining in macromolecular global optimization
Global optimization for molecular clusters using a new smoothing approach
Table of Contents provided by Publisher. All Rights Reserved.

Large-Scale Optimization with Applications Pt. 1 : Optimization in Inverse Problems and Design

Optimization in Inverse Problems and Design

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