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Parametrized Lagrange multiplier method and construction of generalized mixed variational principles for computational mechanics

机译:参数化拉格朗日乘数法和计算力学广义混合变分原理的构造

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摘要

This paper provides a general means, called the parametrized Lagrange multiplier method (PLM), for constructing new variational principles from any existing one. PLM is more powerful than the traditional Lagrange multiplier (TLM) in many aspects; it can explain many theoretical problems and do plenty, which have been troublesome before. In mathematics, PLM could be considered as an approach to solve a subset of the inverse problem of variational calculus. In elasticity, the variational principle constructed by PLM is called the generalized mixed variational principle (GMVP), featuring some parameter-functions called the splitting factors and playing an important role in overcoming the ill-conditioned problems in finite element analysis.
机译:本文提供了一种通用的方法,称为参数化拉格朗日乘数法(PLM),用于从任何现有方法构造新的变分原理。在许多方面,PLM比传统的Lagrange乘法器(TLM)更为强大。它可以解释许多理论问题,并且可以做很多以前难以解决的事情。在数学中,PLM可被视为解决变分微积分反问题子集的一种方法。在弹性方面,由PLM构造的变分原理称为广义混合变分原理(GMVP),它具有一些称为分裂因子的参数函数,在克服有限元分析中的病态问题方面起着重要作用。

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