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Titlebook: Numerical Methods for Polymeric Systems; Stuart G. Whittington Book 1998 Springer-Verlag New York, Inc. 1998 Markov.Polymer.Simulation.alg

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書目名稱Numerical Methods for Polymeric Systems
編輯Stuart G. Whittington
視頻videohttp://file.papertrans.cn/670/669087/669087.mp4
叢書名稱The IMA Volumes in Mathematics and its Applications
圖書封面Titlebook: Numerical Methods for Polymeric Systems;  Stuart G. Whittington Book 1998 Springer-Verlag New York, Inc. 1998 Markov.Polymer.Simulation.alg
描述Polymers occur in many different states and their physical properties are strongly correlated with their conformations. The theoretical investigation of the conformational properties of polymers is a difficult task and numerical methods play an important role in this field. This book contains contributions from a workshop on numerical methods for polymeric systems, held at the IMA in May 1996, which brought together chemists, physicists, mathematicians, computer scientists and statisticians with a common interest in numerical methods. The two major approaches used in the field are molecular dynamics and Monte Carlo methods, and the book includes reviews of both approaches as well as applications to particular polymeric systems. The molecular dynamics approach solves the Newtonian equations of motion of the polymer, giving direct information about the polymer dynamics as well as about static properties. The Monte Carlo approaches discussed in this book all involve sampling along a Markov chain defined on the configuration space of the system. An important feature of the book is the treatment of Monte Carlo methods, including umbrella sampling and multiple Markov chain methods, which
出版日期Book 1998
關(guān)鍵詞Markov; Polymer; Simulation; algorithm; mechanics; molecular dynamics; numerical methods
版次1
doihttps://doi.org/10.1007/978-1-4612-1704-6
isbn_softcover978-1-4612-7249-6
isbn_ebook978-1-4612-1704-6Series ISSN 0940-6573 Series E-ISSN 2198-3224
issn_series 0940-6573
copyrightSpringer-Verlag New York, Inc. 1998
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978-1-4612-7249-6Springer-Verlag New York, Inc. 1998
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https://doi.org/10.1007/978-1-4612-1704-6Markov; Polymer; Simulation; algorithm; mechanics; molecular dynamics; numerical methods
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Book 1998of the conformational properties of polymers is a difficult task and numerical methods play an important role in this field. This book contains contributions from a workshop on numerical methods for polymeric systems, held at the IMA in May 1996, which brought together chemists, physicists, mathemat
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A Knot Recognition Algorithm,field of polymer or biopolymer configurations. These computations typically require generation of random knots followed by characterization of the knot state of each generated configuration. So obviously, knot recognition algorithms are essential to such computations.
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