具时滞物价瑞利方程的Neimark-Sacker分支

研究了以滞量为参数的具时滞物价瑞利方程的数值Hopf分支问题。首先利用欧拉方法将得到的时滞差分方程表示为映射,然后利用离散动力系统的分支理论,在瑞利方程具有Hopf分支的条件下,讨论了差分方程Hopf分支存在的条件及连续系统与其数值逼近间的关系,最后证明了当连续系统产生Hopf分支时,其Euler离散将产生Neimark-Sacker分支,进而得到结论：Euler离散使得方程的Hopf分支性质得以保持。     

基于配点型无网格法的金属挤压过程数值模拟

阐述了配点型无网格法的基本原理,及其用于求解偏微分方程的步骤和方法,对Al在挤压成形过程中的塑性变形情况进行了三维无网格法模拟。该方法避免了有限元法因网格畸变需要重新划分网格的问题,同时解决了伽辽金型无网格法计算效率低的问题。计算实例表明,配点型无网格法可以利用初始节点完成全部计算,得到与有限元法相吻合的结果,是模拟金属塑性变形过程的一种有效的新方法。     

A SOLUTION OF SHAPE EXTRUSION OR DRAWING BASED ON DEFORMATION THEORY

ＡＳＯＬＵＴＩＯＮＯＦＳＨＡＰＥＥＸＴＲＵＳＩＯＮＯＲＤＲＡＷＩＮＧＢＡＳＥＤＯＮＤＥＦＯＲＭＡＴＩＯＮＴＨＥＯＲＹＹｕａｎＸｉ（ＤｅｐａｒｔｍｅｎｔｏｆＭａｔｅｒｉａｌｓＳｃｉｅｎｃｅａｎｄＥｎｇｉｎｅｅｒｉｎｇ，ＣｅｎｔｒａｌＳｏｕｔｈＵｎｉｖｅ...     

基于B样条的自由曲面超声自动检测轨迹生成

针对复杂曲面内部缺陷的超声检测,文章提出了一种基于B样条的自动检测轨迹生成算法, 该方法可以实现自由曲面工件的连续扫查检测,具有较高的检测效率.     

数控机床加工非圆曲线的程序编制方法

对在数控机床上不能直接进行插补加工的非圆曲线、列表函数，提出了用三次样条函数插值、用双圆弧逼近加工轮廓线的方法，并给出了在计算机上予以实现的流程图。     

A tree approach to options pricing under regime-switching jump diffusion models

A simple, efficient tree is developed to price options in a very general regime-switching jump diffusion model. Under this model, the switching rates of the switching process depend on the underlying stock price process. Sufficient conditions that guarantee the positivity of branch probabilities are provided. Using the regime-switching tree, we approximate Heston's stochastic volatility model with an additional jump component. Finally, we illustrate the effectiveness of the tree method by several numerical examples.     

Insight into spontaneous recurrent calcium waves in a 3-D cardiac cell based on analysis of a 1-D deterministic model

Calcium dynamics in a cardiac cell are described by a system of 3-D non-linear stochastic partial differential equations. To obtain solutions that have biophysical properties, it is necessary to explore the model parameter space. To decrease the complexity of the parameter search, we reduce the 3-D stochastic model to a 1-D deterministic model. The reduction of the problem from 3-D to 1-D is done through an asymptotic approximation after non-dimensionalization and based on rational biophysical assumptions of the 3-D domain; the stochastic to deterministic transformation is based on the regular property of the 3-D solution. The result of the model reduction proves very effective in reducing the time required to get qualitative as well as quantitative information about parameter regions in the 3-D stochastic model including calcium dynamics (sparks, wave propagation, and recovery) observed in cardiac cells.     

Approximating of conic sections by DP curves with endpoint interpolation

Conic sections have many applications in industrial design, however, they cannot be exactly represented in polynomial form. Hence approximating conic sections with polynomials is a challenging problem. In this paper, we use the monomial form of Delgado and Peña (DP) curves and present a matrix representation for them. Using the matrix form and the least squares method, we propose a simple and efficient algorithm for approximating conic sections by DP curves of arbitrary degree with endpoint interpolation. Finally, we test and compare the proposed algorithm on some numerical examples which validates and confirms efficiency of it.     

多项式方程区间内重根的快速判定和裁剪

目的多项式求实根问题有着广泛的应用。改进传统的裁剪方法,在多项式重根的情形下,保持计算稳定性的同时显著地提高相应的收敛阶。方法提出了基于R~3空间内的3次裁剪方法。该方法继承了传统裁剪求根方法的优点,充分利用了Bernstein基函数较好的计算稳定性,同时给出简单方法判别重根的存在性,从而使得重根的情形可以转化为单根的情形。结果与已有的基于R~1和R~2空间的3次裁剪方法相比,本文方法可以具有更好的逼近效果。单根情形下,本文方法与基于R~2空间的3次裁剪方法同时具有5次收敛阶,略高于基于R~1空间3次裁剪方法的4次收敛阶;m(≥2)重根情形下,本文方法理论上可具有5次收敛阶,明显优于已有的基于R~1和R~2空间的3次裁剪方法的4/m或5/m收敛阶。基于R~1,R~2和R~3空间的3次裁剪方法的计算时间复杂度大致相当,均为O(n~2)。结论本文方法可以快速判定重根的情形,同时具有更高的收敛阶和更好的逼近效果。