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An interior penalty method for a large-scale finite-dimensional nonlinear double obstacle problem

机译:大型有限维非线性双障碍问题的内部惩罚方法

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We propose and analyze an interior penalty method for a finite-dimensional large-scale bounded Nonlinear Complementarity Problem (NCP) arising from the discretization of a differential double obstacle problem in engineering. Our approach is to approximate the bounded NCP by a nonlinear algebraic equation containing a penalty function with a penalty parameterμ > 0. The penalty equation is shown to be uniquely solvable. We also prove that the solution to the penalty equation converges to the exact one at the rateO(μ1/2)asμ → 0. A smooth Newton method is proposed for solving the penalty equation and it is shown that the linearized system is reducible to two decoupled subsystems. Numerical experiments, performed on some non-trivial test examples, demonstrate the computed rate of convergence matches the theoretical one.
机译:我们提出并分析了由工程中的差分双障碍问题离散化引起的有限维大规模有界非线性互补问题(NCP)的内部惩罚方法。我们的方法是通过一个非线性代数方程来近似有界NCP,该方程包含一个罚函数为μ> 0的罚函数,该罚方程被证明是唯一可解的。我们还证明了罚方程的解以O(μ1/ 2)asμ→0的速率收敛到精确的解,提出了一种光滑的牛顿法求解罚方程,证明了线性化系统可简化为两个解耦的子系统。在一些非平凡的测试示例上进行的数值实验表明,计算出的收敛速度与理论值相符。

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