On a result by Dennis and Schnabel for Newton’s method: Further improvements

We improve local convergence results for Newton’s method by defining a more precise domain where the Newton iterates lie than in earlier studies using Dennis and Schnabel-type techniques. A numerical example is presented to show that the new convergence radii are larger and new error bounds are more precise than the earlier ones.     

On two high‐order families of frozen Newton‐type methods

This paper is devoted to the study of two high‐order families of frozen Newton‐type methods. The methods are free of bilinear operators, which constitute the main limitation of the classical high‐order iterative schemes. Both families are natural generalizations of an efficient third‐order method. Although the methods are more demanding, a semilocal convergence analysis is presented using weaker conditions.     

用CCD成像系统观测透射式牛顿环

用CCD成像系统观测透射式牛顿环替代用移测显微镜观测反射式牛顿环，扩充了实验内容，培养了学生的综合实验能力．     

A smoothing Newton method for mathematical programs constrained by parameterized quasi-variational inequalities

We consider a class of mathematical programs governed by parameterized quasi-variational inequalities(QVI).The necessary optimality conditions for the optimization problem with QVI constraints are reformulated as a system of nonsmooth equations under the linear independence constraint qualification and the strict slackness condition.A set of second order sufficient conditions for the mathematical program with parameterized QVI constraints are proposed,which are demonstrated to be sufficient for the second o...     

Sixth order derivative free family of iterative methods

In this study, we develop a four-parameter family of sixth order convergent iterative methods for solving nonlinear scalar equations. Methods of the family require evaluation of four functions per iteration. These methods are totally free of derivatives. Convergence analysis shows that the family is sixth order convergent, which is also verified through the numerical work. Though the methods are independent of derivatives, computational results demonstrate that family of methods are efficient and demonstrate equal or better performance as compared with other six order methods, and the classical Newton method.     

A Regularization Semismooth Newton Method for $P_0$-NCPs with a Non-Monotone Line Search

In this paper, we propose a regularized version of the generalized NCP-function proposed by Hu, Huang and Chen [J. Comput. Appl. Math., 230 (2009), pp. 69-82]. Based on this regularized function, we propose a semismooth Newton method for solving nonlinear complementarity problems, where a non-monotone line search scheme is used. In particular, we show that the proposed non-monotone method is globally and locally superlinearly convergent under suitable assumptions. We test the proposed method by solving the test problems from MCPLIB. Numerical experiments indicate that this algorithm has better numerical performance in the case of $p=5$ and $\theta\in[0.25,075]$ than other cases.     

心脏作功的动力学过程──考虑动功率的最小功原理

心脏最小功原理是描述心脏做功动力学过程的一种有效模型，在文献［１］中，作者在忽略心脏动功率前提下，给出了心脏做功动力学过程的解析解．但由于动功率在心脏整个做功过程中，特别是在某些病理状态下，占有相当比例，因此，在分析心脏动态做功过程时，应该考虑心脏的总体对外做功．当计入动功率后，方程由原来的线性变成非线性，问题复杂许多，已无法应用原来的解析方法．本文在牛顿法的基础上，得到一种考虑动功率项求解非线性方程组的方法．实例计算表明该方法收敛速度快，所得结果与动物实验相符合．从而使得最小功原理的计算得到完善，为进一步研究心脏做功的动力学过程奠定理论基础．     

牛顿迭代一致性算法及其在板弹塑性有限元分析中的应用

本文简略讨论了有限载荷增量弹塑性有限元分析中传统切线刚度法丧失精度和牛顿迭代平方收敛速度的原因,并提出保持牛顿迭代平方收敛速度、保证一阶精度和无条件稳定性的一致性算法.一致性算法具备以下两个特征:1)采用路径无关计算格式;2)采用一致弹塑性切线模量。根据一致性算法构造出以弯矩和曲率为基本变量的弹塑性板弯曲有限元NIDKQ元。数值结果表明NIDKQ元具有令人满意的精度,同时验证了有限载荷增量下牛顿迭代一致性算法的平方收敛率特性,而传统切线刚度法随着塑性区的扩展将大大降低收敛速度。