非可微分二层Lipschitz规划的广义微分和广义方向导数

本文对构成函数为Ｌｉｐｓｃｈｉｔｚ函数的二层规划问题,利用非光滑分析工具,讨论了下层极值函数和上层复合目标函数的Ｌｉｐｓｃｈｉｔｚ连续性,给出了这些函数的广义微分和广义方向导数的估计式。本文得到的结果为进一步研究非可微二层Ｌｉｐｓｃｈｉｔｚ规划的最优性条件和有效算法等理论和方法问题奠定了基础。     

非线性Lipschitz算子的Lipschitz对偶算子及其应用

在文山中我们对非线性Ｌｉｐｓｃｈｉｔｚ算子定义了其Ｌｉｐｓｃｈｉｔｚ对偶算子，并证明了任意非线性Ｌｉｐｓｃｈｉｔｚ算子的Ｌｉｐｓｃｈｉｔｚ对偶算子是一个定义在Ｌｉｐｓｃｈｉｔｚ对偶空间上的有界线性算子．本文还进一步证明：设Ｃ为 Ｂａｎａｃｈ空间 Ｘ的闭子集，Ｃ＊Ｌ为Ｃ的 Ｌｉｐｓｃｈｉｔｚ对偶空间，Ｕ为 Ｃ＊Ｌ上的有界线性算子，则当且仅当 Ｕ为 ｗ＊－ｗ＊连续的同态变换时，存在Ｌｉｐｓｃｈｉｔｚ连续算子Ｔ，使Ｕ为Ｔ的Ｌｉｐｓｃｈｉｔｚ对偶算子．这一结论的理论意义在于：它表明一个非线性Ｌｉｐｓｃｈｉｔｚ算子的可逆性问题可转化为有界线性算子的可逆性问题．作为应用，通过引入一个新概念──ＰＸ－对偶算子，在一般框架下给出了非线性算子半群的生成定理．     

非线性微分系统的Lipschitz稳定性

本文主要拓展Ｄａｎｎａｎ和Ｅｌｚｙｄｉ＾［１］提出的一致Ｌｉｐｓｃｈｉｔｚ稳定性概念，然后系统地研究了非线性微分系统的Ｌｉｐｚｈｉｔｚ稳定性，并应用于确定非线性系统的周期解问题，获得了一系列有意义的结果。     

局部凸空间上的泛函的非光滑分析及多目标规划

该文对定义于局部凸线性拓扑空间Ｘ上的泛函引入广义方向导数、广义梯度及满足Ｌｉｐｓ－ｃｈｉｔｚ条件等概念,证明了它们的几个重要性质,并举例说明这里满足Ｌｉｐｓｃｈｉｔｚ条件的概念是Ｂａ－ｎａｃｈ空间情形的严格推广．最后,作为上述结论及方法的应用,讨论定义于Ｘ的多目标数学规划,得出若干关于弱有效解的最优性条件．     

系数连续的随机泛函型微分方程解的存在性

本文是［１］的继续，证明了对于随机泛函型微分方程在系数不满足Ｌｉｐｓｃｈｉｔｚ条件时解的存在性。     

非线性Lipschitz连续算子的定量性质(Ⅲ)──glb-Lipschitz数

本文引进非线性Ｌｉｐｓｃｈｉｔｚ算子Ｔ的ｇｌｂ－Ｌｉｐｓｃｈｉｔｚ数ｌ（Ｔ）,并证明：ｌ（Ｔ）定量刻画非线性Ｌｉｐｓｃｈｉｔｚ连续算子全体所构成的赋半范算子空间中可逆算子Ｔ保持可逆的最大扰动半径,因而具有特别重要意义。所获结果被应用来建立“非线性扰动引理”、非线性算子条件数、推广线性算子逼近理论和建立与矩阵理论中Ｇｅｒｓｃｈｇｏｒｉｎ圆盘定理对应的非线性Ｌｉｐｓｃｈｉｔｚ连续算子谱集的包含域。     

Lipschitz局部强增殖算子的非线性方程的解的迭代构造

本文研究ｐ一致光滑Ｂａｎａｃｈ空间Ｘ中Ｉｓｈｉｋａｗａ迭代法。设Ｔ：Ｘ→Ｋ是Ｌｉｐｓｃｈｉｔｚ局部强增殖算子，方程Ｔ＿ｘ＝ｆ的解集ｓｏｌ（Ｔ）非空．我们证明了ｓｏｌ（Ｔ）是一个单点集且Ｉｓｈｉｋａｗａ序列强收敛到方程Ｔ＿ｘ＝ｆ的唯一解．另行，当Ｔ是从Ｘ的非空凸子集Ｋ到Ｘ的Ｌｉｐｓｃｈｉｔｚ局部伪压缩映像且Ｔ的不动点集Ｆ（Ｔ）非空时，我们证明了Ｆ（Ｔ）是一个单点集且Ｉｓｈｉｋａｗａ序列强收敛到Ｔ的唯一不动点。我们的结果改进和推广了［４］与［５］的结果。     

一类具有广义Lipschitz条件的非线性映象的迭代过程

本文研究了广义Ｌｉｐｓｃｈｉｔｚ强增生映象的Ｉｓｈｉｋａｗａ型迭代和Ｍａｎｎ型迭代过程的收敛性．所得结果统一和扩展了近期相关结果     

Runge-Kutta方法关于时滞奇异摄动问题的误差分析

１．引言 用（,）表示Ｅｕｃｌｉｄｅａｎ空间的内积,｜｜·｜｜为相应范数,考虑时滞奇异摄动问题（ＳＰＰＤｓ）这里。∈,ｒ（ｒ＞０）是常数,　和　是给定的函数,ｆ：　　　　　　　　　　　和　　　　　　　　　　　　　　是给定的充分光滑的映射,它们满足下面的条件这里ｗ１和－ｗ２是具有适度大小的常数且　　　　　　　　　分别关于其它变量满足 Ｌｉｐｓｃｈｉｔｚ 条件．不失一般性,假设ｗ２＝１（参见［１］） 与经典 Ｌｉｐｓｃｈｉｔｚ条件相比,条件（１．２ａ）更弱．事实上,当（１．３）中的 Ｌ具有适度大小时,就能…     

Lipschitz常数缩减的散乱数据插值

在计算机辅助设计几何中，变差缩减是一个非常重要的概念，本文分析了函数的变差和Ｌｉｐｓｃｈｉｔｚ常数的关系，指出可以用Ｌｉｐｓｃｈｉｔｚ常数来控制变差，由于变差的概念只限于一维的情形，而Ｌｉｐｓｃｈｉｔｚ常数适用于任意维，这样在高维时就可用Ｌｉｐｓｃｈｉｔｚ常数缩减的概念来代替变差缩减的概念，文中构造性地证明了Ｌｉｐｓｃｈｉｔｚ常数缩减的散乱数据插值函数的存在性，并且对这类函数的性质及光滑性条件进行了讨论．     

非光滑优化的二阶必要条件

1 引言 对无约束最优化问题,其必要条件要求在局部极小点x处沿任何方向的梯度为零,曲率为正。而对约束最优化问题,首先它的局部极小点必须是可行点,其次不仅要求验证局部 极小点的某个邻域内的二阶项(曲率),而且也要认识到约束曲率也起相当重要的作用。现实中存在这样的问题,在x点处G正定,而它不是局部极小点。因此必须考虑约束最优化问题的二阶必要性条件。 本文研究了非线性规划的二阶必要性条件,其约束函数的一阶导数为方向Lipschitz连续。 2 方向Lipschitz连续函数的性质 定义2.1 设f是R~n上的一个广义实值函数,f在x∈R~n处有限,称f在x处是方向Lipschitz连续的,如果至少存在一点y∈R~n使得 其中( 定义2.2 设f如定义2.1,定义f在R~n处的次导数集如下 其中 本文多次引用f↑(x;y),因此我们首先介绍f↑(x;y)的3个基本性质:     

一致光滑Banach空间中一类非线性映象的迭代过程

本文引入了广义Lipschitz的概念，研究了广义Lipschitz强增生映象的Mann型迭代和Ishikawa型迭代过程的收敛性，所得结果统一和扩展了近期相关结果．     

Coderivative Analysis of Variational Systems

The paper mostly concerns applications of the generalized differentiation theory in variational analysis to Lipschitzian stability and metric regularity of variational systems in infinite-dimensional spaces. The main tools of our analysis involve coderivatives of set-valued mappings that turn out to be proper extensions of the adjoint derivative operator to nonsmooth and set-valued mappings. The involved coderivatives allow us to give complete dual characterizations of certain fundamental properties in variational analysis and optimization related to Lipschitzian stability and metric regularity. Based on these characterizations and extended coderivative calculus, we obtain efficient conditions for Lipschitzian stability of variational systems governed by parametric generalized equations and their specifications.     

Equivalence theorems of the convergence between Ishikawa and Mann iterations with errors for generalized strongly successively Φ-pseudocontractive mappings without Lipschitzian assumptions

In this paper, the equivalence of the strong convergence between the modified Mann and Ishikawa iterations with errors in two different schemes by Xu [Y.G. Xu, Ishikawa and Mann iteration process with errors for nonlinear strongly accretive operator equations, J. Math. Anal. Appl. 224 (1998) 91-101] and Liu [L.S. Liu, Ishikawa and Mann iterative process with errors for nonlinear strongly accretive mappings in Banach spaces, J. Math. Anal. Appl. 194 (1995) 114-125] respectively is proven for the generalized strongly successively Φ-pseudocontractive mappings without Lipschitzian assumption. Our results generalize the recent results of the papers [Zhenyu Huang, F. Bu, The equivalence between the convergence of Ishikawa and Mann iterations with errors for strongly successively pseudocontractive mappings without Lipschitzian assumption, J. Math. Anal. Appl. 325 (1) (2007) 586-594; B.E. Rhoades, S.M. Soltuz, The equivalence between the convergences of Ishikawa and Mann iterations for an asymptotically nonexpansive in the intermediate sense and strongly successively pseudocontractive maps, J. Math. Anal. Appl. 289 (2004) 266-278; B.E. Rhoades, S.M. Soltuz, The equivalence between Mann-Ishikawa iterations and multi-step iteration, Nonlinear Anal. 58 (2004) 219-228] by extending to the most general class of the generalized strongly successively Φ-pseudocontractive mappings and hence improve the corresponding results of all the references given in this paper by providing the equivalence of convergence between all of these iteration schemes for any initial points u₁, x₁ in uniformly smooth Banach spaces.     

Lagrange multipliers and generalized differentiable functions in vector extremum problems

In this paper, we establish a necessary optimality condition for a nondifferentiable vector extremum problem which involves a generalized vector-valued Lagrangian function. Such a condition is stated for a wide class of functions, which embraces the differentiable ones and a subclass of locally Lipschitzian functions. The condition embodies the classic theorem of F. John in multiobjective optimization.This research was partially supported by the Ministry of Public Education, Rome, Italy.     

The equivalence of strict convexity and injectivity of the gradient in bounded level sets

It is shown that Lipschitzian functions are strictly convex if and only if their generalized gradients are disjoint at distinct interior points of a given bounded level set.This work was supported by the Applied Mathematical Sciences subprogram of the Office of Energy Research, US Department of Energy, under Contract W-31-109-Eng-38.     

Generalized Newton’s method based on graphical derivatives

This paper concerns developing a numerical method of the Newton type to solve systems of nonlinear equations described by nonsmooth continuous functions. We propose and justify a new generalized Newton algorithm based on graphical derivatives, which have never been used to derive a Newton-type method for solving nonsmooth equations. Based on advanced techniques of variational analysis and generalized differentiation, we establish the well-posedness of the algorithm, its local superlinear convergence, and its global convergence of the Kantorovich type. Our convergence results hold with no semismoothness and Lipschitzian assumptions, which is illustrated by examples. The algorithm and main results obtained in the paper are compared with well-recognized semismooth and B-differentiable versions of Newton’s method for nonsmooth Lipschitzian equations.     

ISHIKAWA TYPE ITERATIVE SEQUENCES WITH ERRORS FOR LIPSCHITZIAN φ-STRONGLY ACCRETIVE OPERATOR EQUATIONS IN ARBITRARY BANACH SPACES

In this paper, we investigate the problem of approximating solutions of the equations of Lipschitzian (?)-strongly accretive operators and fixed points of Lipschitzian (?)-hemicontractive operators by Ishikawa type iterative sequences with errors. Our results unify , improve and extend the results obtained previously by several authors including Li and Liu (Acta Math. Sinica 41 (4)(1998), 845-850), and Osilike (Nonlinear Anal. TMA, 36(1)(1999), 1-9), and also answer completely the. open problems mentioned by Chidume (J. Math. Anal. Appl. 151(2) (1990), 453-461).