Symmetries of some classes of dynamical systems

In this paper a three-dimensional system with five parameters is considered. For some particular values of these parameters, one finds known dynamical systems. The purpose of this work is to study some symmetries of the considered system, such as Lie-point symmetries, conformal symmetries, master symmetries and variational symmetries. In order to present these symmetries we give constants of motion. Using Lie group theory, Hamiltonian and bi-Hamiltonian structures are given. Also, symplectic realizations of Hamiltonian structures are presented. We have generalized some known results and we have established other new results. Our unitary presentation allows the study of these classes of dynamical systems from other points of view, e.g. stability problems, existence of periodic orbits, homoclinic and heteroclinic orbits.     

Block basis property of a class of 2×2 operator matrices and its application to elasticity

A necessary and sufficient condition is obtained for the generalized eigenfunction systems of 2 × 2 operator matrices to be a block Schauder basis of some Hilbert space, which offers a mathematical foundation of solving symplectic elasticity problems by using the method of separation of variables. Moreover, the theoretical result is applied to two plane elasticity problems via the separable Hamiltonian systems.     

Laplacian regularized kernel minimum squared error and its application to face recognition

Kernel minimum squared error (KMSE) has been receiving much attention in data mining and pattern recognition in recent years. Generally speaking, training a KMSE classifier, which is a kind of supervised learning, needs sufficient labeled examples. However, labeled examples are usually insufficient and unlabeled examples are abundant in real-world applications. In this paper, we introduce a semi-supervised KMSE algorithm, called Laplacian regularized KMSE (LapKMSE), which explicitly exploits the manifold structure. We construct a p nearest neighbor graph to model the manifold structure of labeled and unlabeled examples. Then, LapKMSE incorporates the structure information of labeled and unlabeled examples in the objective function of KMSE by adding a Laplacian regularization term. As a result, the labels of labeled and unlabeled examples vary smoothly along the geodesics on the manifold. Experimental results on several synthetic and real-world datasets illustrate the effectiveness of our algorithm. Finally our algorithm is applied to face recognition and achieves the comparable results compared to the other supervised and semi-supervised methods.     

Image-guided regularization level set evolution for MR image segmentation and bias field correction

Magnetic resonance (MR) image segmentation is a crucial step in surgical and treatment planning. In this paper, we propose a level-set-based segmentation method for MR images with intensity inhomogeneous problem. To tackle the initialization sensitivity problem, we propose a new image-guided regularization to restrict the level set function. The maximum a posteriori inference is adopted to unify segmentation and bias field correction within a single framework. Under this framework, both the contour prior and the bias field prior are fully used. As a result, the image intensity inhomogeneity can be well solved. Extensive experiments are provided to evaluate the proposed method, showing significant improvements in both segmentation and bias field correction accuracies as compared with other state-of-the-art approaches.     

双色散模型的辛时域有限差分算法

结合有耗的Drude-Lorentz色散模型,提出了处理双色散模型的辛时域有限差分算法.基于矩阵分裂,辛传播算子和辅助差分方程技术,结合严格而巧妙的公式推导,构建了算法框架,并给出了详细的公式推导过程.为了验证本文算法的有效性和精确性,首先计算了一维空间双色散平板的透射系数,并与解析解对比,结果较好地符合,证明了该算法是有效而精确的.然后计算了三维空间中有实际意义的银分裂环,金属银的介电参数由Drude模型拟合.计算了该结构的透射系数,反射系数和吸收系数,得到了银分裂环的谐振频率和吸收频率,为实际实验结果提供了可供参考的计算结果.     

Extension of GKB‐FP algorithm to large‐scale general‐form Tikhonov regularization

In a recent paper an algorithm for large‐scale Tikhonov regularization in standard form called GKB‐FP was proposed and numerically illustrated. In this paper, further insight into the convergence properties of this method is provided, and extensions to general‐form Tikhonov regularization are introduced. In addition, as alternative to Tikhonov regularization, a preconditioned LSQR method coupled with an automatic stopping rule is proposed. Preconditioning seeks to incorporate smoothing properties of the regularization matrix into the computed solution. Numerical results are reported to illustrate the methods on large‐scale problems. Copyright © 2013 John Wiley & Sons, Ltd.     

Embedded techniques for choosing the parameter in Tikhonov regularization

This paper introduces a new strategy for setting the regularization parameter when solving large‐scale discrete ill‐posed linear problems by means of the Arnoldi–Tikhonov method. This new rule is essentially based on the discrepancy principle, although no initial knowledge of the norm of the error that affects the right‐hand side is assumed; an increasingly more accurate approximation of this quantity is recovered during the Arnoldi algorithm. Some theoretical estimates are derived in order to motivate our approach. Many numerical experiments performed on classical test problems as well as image deblurring problems are presented. Copyright © 2014 John Wiley & Sons, Ltd.     

Phase space transport in a map of asteroid motion

IntroductionIt is well known that a complex phase space of a Hamiltonian system containing largemeasures of both regular and chaotic orbits is often partitioned by such partial obstructionas canton or Arnold web, ac.hich although not serving as absolute barriers, can significantlyimpede the motion of a chaotic orbit through a connected phase space region. This "stickiness"effect makes the phase space transport complicated. In fact, the chaotic transport or diffusionphenomenon can be met in ma…     

Multiple Sign-Changing Solutions for Quasilinear Equations of Bounded Quasilinearity

The existence of an infinite sequence of sign-changing solutions are proved for a class of quasilinear elliptic equations under suitable conditions on the quasilinear coefficients and the nonlinearity■ where ? ? R~N is a bounded domain with smooth boundary, and we use■ The main interest of this paper is for the case of bounded quasilinearity bij. The result is proved by an elliptic regularization method involving truncations of both u and the gradient of u.