Abstract
We propose a generalized Newton method for solving the system of nonlinear equations with linear complementarity constraints in the implicit or semi-implicit time-stepping scheme for differential linear complementarity systems (DLCS). We choose a specific solution from the solution set of the linear complementarity constraints to define a locally Lipschitz continuous right-hand-side function in the differential equation. Moreover, we present a simple formula to compute an element in the Clarke generalized Jacobian of the solution function. We show that the implicit or semi-implicit time-stepping scheme using the generalized Newton method can be applied to a class of DLCS including the nondegenerate matrix DLCS and hidden Z-matrix DLCS, and has a superlinear convergence rate. To illustrate our approach, we show that choosing the least-element solution from the solution set of the Z-matrix linear complementarity constraints can define a Lipschitz continuous right-hand-side function with a computable Lipschitz constant. The Lipschitz constant helps us to choose the step size of the time-stepping scheme and guarantee the convergence.
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Xiaojun Chen’s work is supported partly by Hong Kong Research Grant Council grant PolyU5003/09p. Shuhuang Xiang’s work is supported partly by NSF of China (No.10771218,11071260).
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Chen, X., Xiang, S. Newton iterations in implicit time-stepping scheme for differential linear complementarity systems. Math. Program. 138, 579–606 (2013). https://doi.org/10.1007/s10107-012-0527-x
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DOI: https://doi.org/10.1007/s10107-012-0527-x
Keywords
- Differential linear complementarity problem
- Least-norm solution
- Least-element solution
- Nondegenerate matrix
- Z-matrix
- Generalized Newton method