A projection-filter method for solving nonlinear complementarity problems |
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Authors: | Jun Long Sanyun Zeng |
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Affiliation: | a School of Preparatory Education for Minority Nationalities, Jishou University, Hunan 416000, PR China b School of Mathematics and Computer Science, Jishou University, Hunan 416000, PR China |
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Abstract: | ![]() The Josephy-Newton method attacks nonlinear complementarity problems which consists of solving, possibly inexactly, a sequence of linear complementarity problems. Under appropriate regularity assumptions, this method is known to be locally (superlinearly) convergent. Utilizing the filter method, we presented a new globalization strategy for this Newton method applied to nonlinear complementarity problem without any merit function. The strategy is based on the projection-proximal point and filter methodology. Our linesearch procedure uses the regularized Newton direction to force global convergence by means of a projection step which reduces the distance to the solution of the problem. The resulting algorithm is globally convergent to a solution. Under natural assumptions, locally superlinear rate of convergence was established. |
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Keywords: | Nonlinear complementarity problem Filter method Josephy-Newton method Projection step Convergence |
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