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Proportionality-Based Gradient Methods with Applications in Contact Mechanics

机译:基于比例的梯度方法,具有接触力学的应用

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Two proportionality based gradient methods for the solution of large convex bound constrained quadratic programming problems, MPRGP (Modified Proportioning with Reduced Gradient Projections) and P2GP (Proportionality-based Two-phase Gradient Projection) are presented and applied to the solution of auxiliary problems in the inner loop of an augmented lagrangian algorithm called SMALBE (Semi-monotonic Augmented Lagrangian for Bound and Equality constraints). The SMALBE algorithm is used to generate the Lagrange multipliers for the equality constraints. The performance of the algorithms is tested on the solution of the discretized contact problems by means of TFETI (Total Finite Element Tearing and Interconnecting).
机译:提出了两个基于大凸起约束约束的二次编程问题的梯度方法,MPRGP(用梯度投影的改进比例)和P2GP(基于比例的两相梯度投影),并应用于辅助问题的解决方案一个名为Smalbe的增强拉格朗日算法的内循环(半单调增强拉格朗日,用于绑定和平等约束)。 Smalbe算法用于为平等约束生成拉格朗日乘法器。通过TFETI(总有限元撕裂和互连)对离散的接触问题的解决方案来测试算法的性能。

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