Abstract
The LP-Newton method for constrained equations, introduced some years ago, has powerful properties of local superlinear convergence, covering both possibly nonisolated solutions and possibly nonsmooth equation mappings. A related globally convergent algorithm, based on the LP-Newton subproblems and linesearch for the equation’s infinity norm residual, has recently been developed. In the case of smooth equations, global convergence of this algorithm to B-stationary points of the residual over the constraint set has been shown, which is a natural result: nothing better should generally be expected in variational settings. However, for the piecewise smooth case only a property weaker than B-stationarity could be guaranteed. In this paper, we develop a procedure for piecewise smooth equations that avoids undesirable accumulation points, thus achieving the intended property of B-stationarity.
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A. Fischer, M. Herrich, and W. Scheck were supported in part by the Volkswagen Foundation. A. F. Izmailov was supported by the Russian Science Foundation Grant 17-11-01168. M. V. Solodov was supported in part by CNPq Grants 303724/2015-3 and PVE 401119/2014-9, and by FAPERJ.
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Fischer, A., Herrich, M., Izmailov, A.F. et al. A globally convergent LP-Newton method for piecewise smooth constrained equations: escaping nonstationary accumulation points. Comput Optim Appl 69, 325–349 (2018). https://doi.org/10.1007/s10589-017-9950-5
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DOI: https://doi.org/10.1007/s10589-017-9950-5
Keywords
- Constrained equation
- Piecewise smooth equation
- LP-Newton method
- Global convergence
- Quadratic convergence