SEMISMOOTH

作品数：5被引量：8H指数：2
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相关期刊：《Acta Mathematicae Applicatae Sinica》《Journal of Applied Mathematics and Physics》《Journal of Computational Mathematics》《Applied Mathematics(A Journal of Chinese Universities)》更多>>
相关基金：国家自然科学基金更多>>
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An Augmented Lagrangian based Semismooth Newton Method for a Class of Bilinear Programming Problems
《Applied Mathematics(A Journal of Chinese Universities)》2019年第4期446-459,共14页HE Su-xiang LIU Yan WANG Chuan-mei 
Supported by the National Natural Science Foundation of China(No.11671183);the Fundamental Research Funds for the Central Universities(No.2018IB016,2019IA004,No.2019IB010)
This paper proposes a semismooth Newton method for a class of bilinear programming problems(BLPs)based on the augmented Lagrangian,in which the BLPs are reformulated as a system of nonlinear equations with original va...
关键词：SEMISMOOTH NEWTON method constrained BILINEAR programming problems AUGMENTED LAGRANGIAN STRICT complementarity 
An Inexact Affine Scaling Levenberg-Marquardt Method Under Local Error Bound Conditions被引量：2
《Acta Mathematicae Applicatae Sinica》2019年第4期830-844,共15页Zhu-jun WANG Li CAI Yi-fan SU Zhen PENG 
Supported by National Natural Science Foundation of China(No.11571074);Scientific Research Fund of Hunan Provincial Education Department(No.18A351,17C0393);Natural Science Foundation of Hunan Province(No.2019JJ50105)
We propose an inexact affine scaling Levenberg-Marquardt method for solving bound-constrained semismooth equations under the local error bound assumption which is much weaker than the standard nonsingularity condition...
关键词：SEMISMOOTH equation LEVENBERG-MARQUARDT METHOD INEXACT METHOD AFFINE scaling local error BOUNDS 
A Spectral Projected Gradient-Newton Two Phase Method for Constrained Nonlinear Equations
《Journal of Applied Mathematics and Physics》2019年第1期104-110,共7页Yuezhe Zhang 
In this paper, we proposed a spectral gradient-Newton two phase method for constrained semismooth equations. In the first stage, we use the spectral projected gradient to obtain the global convergence of the algorithm...
关键词：CONSTRAINED SEMISMOOTH Equations SPECTRAL Projected Gradient METHOD NEWTON METHOD Two-Phase 
A FEASIBLE SEMISMOOTH GAUSS-NEWTON METHOD FOR SOLVING A CLASS OF SLCPS
《Journal of Computational Mathematics》2012年第2期197-222,共26页Changfeng Ma 
Acknowledgments. This project is supported by National Natural Science Foundation of China （11071041） and Fujian Natural Science Foundation （2009J01002）.
In this paper, we consider a class of the stochastic linear complementarity problems （SLCPs） with finitely many elements. A feasible semismooth damped Gauss-Newton al- gorithm for the SLCP is proposed. The global an...
关键词：Stochastic linear complementarity problems Gauss-Newton algorithm Con-vergence analysis Numerical results. 
PIECEWISE LINEAR NCP FUNCTION FOR QP FREE FEASIBLE METHOD被引量：6
《Applied Mathematics(A Journal of Chinese Universities)》2006年第3期289-301,共13页Pu Dingguo Zhou Yan 
supported by the Natural science Foundation of China(10371089,10571137)
In this paper, a QP-free feasible method with piecewise NCP functions is proposed for nonlinear inequality constrained optimization problems. The new NCP functions are piecewise linear-rational, regular pseudo-smooth...
关键词：constrained optimization SEMISMOOTH nonlinear complementarity convergence. 
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