对非线性互补问题（Nonlinear Complementarity Problem），提出新的整体收敛的算法，并用大量算例说明了算法的有效性，此成果发表在《Journal of Computational Mathematics》，被SCI收录...
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第三章为广义非线性互补问题的自适应信赖域方法。
In chapter 3, we present a self-adaptive trust region method for solving generalized nonlinear complementarity problems.
实验结果表明，该算法收敛速度快，稳定性好，是求解非线性互补问题的一种有效算法。
The imitate results manifest that SCO converges fast and stably, and it is an effective algorithm for NCP.
提出了求解非线性互补问题的一个光滑逼近算法，在一定条件下证明了该算法的全局收敛性。
A smoothing approximation algorithm for nonlinear complementarity problems was introduced and the global convergence of the algorithm was proved under milder conditions.
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