Optimization in Computational Chemistry and Molecular Biology - Local and Global Approaches (Paperback, Softcover reprint of the original 1st ed. 2000)

Optimization in Computational Chemistry and Molecular Biology: Local and Global Approaches covers recent developments in optimization techniques for addressing several computational chemistry and biology problems. A tantalizing problem that cuts across the fields of computational chemistry, biology, medicine, engineering and applied mathematics is how proteins fold. Global and local optimization provide a systematic framework of conformational searches for the prediction of three-dimensional protein structures that represent the global minimum free energy, as well as low-energy biomolecular conformations. Each contribution in the book is essentially expository in nature, but of scholarly treatment. The topics covered include advances in local and global optimization approaches for molecular dynamics and modeling, distance geometry, protein folding, molecular structure refinement, protein and drug design, and molecular and peptide docking. Audience: The book is addressed not only to researchers in mathematical programming, but to all scientists in various disciplines who use optimization methods in solving problems in computational chemistry and biology.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Nonconvex Optimization and Its Applications, 40
Release date:	December 2010
First published:	2000
Editors:	Christodoulos A. Floudas • Panos M. Pardalos
Dimensions:	235 x 155 x 18mm (L x W x T)
Format:	Paperback
Pages:	342
Edition:	Softcover reprint of the original 1st ed. 2000
ISBN-13:	978-1-4419-4826-7
Categories:	Books > Science & Mathematics > Mathematics > Numerical analysis Books > Computing & IT > Computer programming > Software engineering Books > Science & Mathematics > Mathematics > Optimization > General Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematical modelling Promotions
LSN:	1-4419-4826-0
Barcode:	9781441948267

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