摇动
解耦(概率)
线性化
约束(计算机辅助设计)
分子动力学
拉格朗日乘数
笛卡尔坐标系
西尔维斯特惯性定律
应用数学
算法
计算化学
数学
物理
化学
数学优化
非线性系统
对称矩阵
量子力学
几何学
控制工程
特征向量
工程类
作者
Vincent Kr�utler,Wilfred F. Van Gunsteren A,Philippe H. Hünenberger
标识
DOI:10.1002/1096-987x(20010415)22:5<501::aid-jcc1021>3.0.co;2-v
摘要
A common method for the application of distance constraints in molecular simulations employing Cartesian coordinates is the SHAKE procedure for determining the Lagrange multipliers regarding the constraints. This method relies on the linearization and decoupling of the equations governing the atomic coordinate resetting corresponding to each constraint in a molecule, and is thus iterative. In the present study, we consider an alternative method, M-SHAKE, which solves the coupled equations simultaneously by matrix inversion. The performances of the two methods are compared in simulations of the pure solvents water, dimethyl sulfoxide, and chloroform. It is concluded that M-SHAKE is significantly faster than SHAKE when either (1) the molecules contain few distance constraints (solvent), or (2) when a high level of accuracy is required in the application of the constraints. © 2001 John Wiley & Sons, Inc. J Comput Chem 22: 501–508, 2001
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