Halpern-type iterations for strongly relatively nonexpansive mappings in Banach spaces

In this paper, we note that the main convergence theorem in Zhang et al. (2011) [21] is incorrect and we prove a correction. We also modify Halpern’s iteration for finding a fixed point of a strongly relatively nonexpansive mapping in a Banach space. Consequently, two strong convergence theorems for a relatively nonexpansive mapping and for a mapping of firmly nonexpansive type are deduced. Using the concept of duality theorems, we obtain analogue results for strongly generalized nonexpansive mappings and for mappings of firmly generalized nonexpansive type. In addition, we study two strong convergence theorems concerning two types of resolvents of a maximal monotone operator in a Banach space.     

The order of convexity of some general integral operators

The main object of the present paper is to discuss some extensions of certain integral operators and to obtain their order of convexity. Several other closely related results are also considered.     

Some preserving subordination and superordination of analytic functions involving the Liu-Owa integral operator

In this paper, we obtain some subordination and superordination-preserving results of analytic functions involving the Liu-Owa integral operator. Sandwich-type result is also obtained.     

基于混合交叉因子的蚁群聚类优化

为解决蚁群聚类易陷入局部最优问题,综合分析了仿生智能聚类的特点,提出了一种混合交叉因子的蚁群聚类方法。该算法采用结合分阶段调整策略和启发式多点交叉策略的混合交叉因子,其中分阶段调整策略动态调整交叉点规模,显著降低交叉操作的无效性概率;启发式策略建立在适应度的基础上能有效地保留父代优秀基因。同时引用随机变异因子,进一步减少陷入局部优化的可能性。结合实例对算法进行了分析,结果表明了该算法在鲁棒性和聚类效果上都有所提高。     

Distortion-free secret image sharing mechanism using modulus operator

The (t, n)-threshold has been extended to secret image sharing due to its practicability. In this article, we provide a novel version that employs the modulus operator to embed the secret share into a host image. The simulator shows that the modulus operator is useful for decreasing shadow image distortion. Using Rabin's signature cryptosystem, participants can detect if a cheater exists in the cooperation. In particular, the new mechanism permits involved members to restore a lossless secret image and to reconstruct a distortion-free host image.     

灰色预测中缓冲算子的组合性质及应用

通过研究同性缓冲算子作用样本数据序列所得灰色预测模型的预测精度问题, 发现同类缓冲算子对于相同样本数据序列的预测值一致, 对于具体预测问题, 某个缓冲算子在此类问题中有效, 用到另一类问题上可能失效. 为此, 提出一种同性缓冲算子的组合方法, 通过对同性缓冲算子的有效组合可以得到一种新的缓冲算子, 该缓冲算子不但能够提高模型的预测精度, 而且可以扩大缓冲算子的适用范围. 实例验证表明, 所提出的组合方法是有价值的.

     

On splitting-based numerical methods for nonlinear models of European options

We present a large class of nonlinear models of European options as parabolic equations with quasi-linear diffusion and fully nonlinear hyperbolic part. The main idea of the operator splitting method (OSM) is to couple known difference schemes for nonlinear hyperbolic equations with other ones for quasi-linear parabolic equations. We use flux limiter techniques, explicit–implicit difference schemes, Richardson extrapolation, etc. Theoretical analysis for illiquid market model is given. The numerical experiments show second-order accuracy for the numerical solution (the price) and Greeks Delta and Gamma, positivity and monotonicity preserving properties of the approximations.     

Analysis and design of delta operator systems with nested actuator saturation

In this paper, the problem of estimating the domain of attraction is considered for delta operator systems subject to nested actuator saturation. A set invariance condition is established for the delta operator system with nested actuator saturation in terms of auxiliary feedback matrices. Based on the set invariance condition, an optimisation approach is proposed to estimate the domain of attraction for the delta operator system. Thereby, the partial results of nested actuator saturation for both continuous-time systems and discrete-time systems are extended to delta operator system framework. A numerical example is provided to illustrate the effectiveness of the proposed design techniques.