Volume 13, Issue 4
A New Step-Size Skill for Solving a Class of Nonlinear Projection Equations
DOI:

J. Comp. Math., 13 (1995), pp. 357-368

Published online: 1995-08

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• Abstract

In this paper, a new step-size skill for a projection and contraction method$^{[10]}$ for linear programming is generalized to an iterative method$^{[22]}$ for solving nonlinear projection equation. For linear programming, our scheme is the same as that of$^{[10]}$. For complementarity problem and related problems, we give an improved algorithm by considering the new step-size skill and ALGORITHM B discussed in [22]. Numerical results are provided.

• Keywords

@Article{JCM-13-357, author = {}, title = {A New Step-Size Skill for Solving a Class of Nonlinear Projection Equations}, journal = {Journal of Computational Mathematics}, year = {1995}, volume = {13}, number = {4}, pages = {357--368}, abstract = { In this paper, a new step-size skill for a projection and contraction method$^{[10]}$ for linear programming is generalized to an iterative method$^{[22]}$ for solving nonlinear projection equation. For linear programming, our scheme is the same as that of$^{[10]}$. For complementarity problem and related problems, we give an improved algorithm by considering the new step-size skill and ALGORITHM B discussed in [22]. Numerical results are provided. }, issn = {1991-7139}, doi = {https://doi.org/}, url = {http://global-sci.org/intro/article_detail/jcm/9278.html} }
TY - JOUR T1 - A New Step-Size Skill for Solving a Class of Nonlinear Projection Equations JO - Journal of Computational Mathematics VL - 4 SP - 357 EP - 368 PY - 1995 DA - 1995/08 SN - 13 DO - http://dor.org/ UR - https://global-sci.org/intro/article_detail/jcm/9278.html KW - AB - In this paper, a new step-size skill for a projection and contraction method$^{[10]}$ for linear programming is generalized to an iterative method$^{[22]}$ for solving nonlinear projection equation. For linear programming, our scheme is the same as that of$^{[10]}$. For complementarity problem and related problems, we give an improved algorithm by considering the new step-size skill and ALGORITHM B discussed in [22]. Numerical results are provided.