高维随机Gilpin-Ayala捕食系统的静态分布

介绍了高维随机非线性捕食系统即Gilpin-Ayala捕食系统的渐近动力学行为,主要是系统种群的静态分布的存在性.通过构造适当的李雅普诺夫函数,利用伊藤公式和随机微分的分析方法得到了随机系统静态分布存在性的充分性判据.最后用数据模拟来验证结果的正确性.     

导数在不等式证明中的应用

本文主要阐述了应用函数的单调性及拉格朗日中值定理证明不等式。     

儒可夫斯基函数的性质及其应用

本文主要研究了儒可夫斯基函数的映射性质,并利用其性质,给出了它在复解析动力系统与电磁学领域的两个简单应用。     

带有二次约束的一类特殊三次规划问题的全局最优性充分条件

利用拉格朗日函数和L-次微分的方法,研究了带有二次约束的一类特殊三次规划问题的全局最优性条件。首先刻画出该类三次规划问题的拉格朗日函数的抽象次微分,从而得到了带有二次约束的三次规划问题的全局最优性充分条件。最后举例说明如何利用本文所给出的全局最优性充分条件来判定当前可行解就是全局最优解。
     

亚纯函数的公共值与幅角分布

设f(z)是下级大于2的超越亚纯函数,证明了复平面上存在一条从原点出发的射线OR,使得以OR为分角线的任意小角域内,f(z)与其导函数f’(z)至多只有一个IM公共值.     

含参变量的变上限函数的导数公式

给出含参变量的变上限函数的导数公式,指出了该公式在求解常微分方程和偏微分方程等众多领域的广泛运用.     

PBNA： An Improved Probabilistic Biological Network Alignment Method

Biological network alignment is an important research topic in the field of bioinformatics. Nowadays almost every existing alignment method is designed to solve the deterministic biological network alignment problem.However, it is worth noting that interactions in biological networks, like many other processes in the biological realm,are probabilistic events. Therefore, more accurate and better results can be obtained if biological networks are characterized by probabilistic graphs. This probabilistic information, however, increases difficulties in analyzing networks and only few methods can handle the probabilistic information. Therefore, in this paper, an improved Probabilistic Biological Network Alignment（PBNA） is proposed. Based on Iso Rank, PBNA is able to use the probabilistic information. Furthermore, PBNA takes advantages of Contributor and Probability Generating Function（PGF） to improve the accuracy of node similarity value and reduce the computational complexity of random variables in similarity matrix. Experimental results on dataset of the Protein-Protein Interaction（PPI） networks provided by Todor demonstrate that PBNA can produce some alignment results that ignored by the deterministic methods, and produce more biologically meaningful alignment results than Iso Rank does in most of the cases based on the Gene Ontology Consistency（GOC） measure. Compared with Prob method, which is designed exactly to solve the probabilistic alignment problem, PBNA can obtain more biologically meaningful mappings in less time.     

具有单调功能反应函数的随机恒化器模型的动力学行为

考虑到环境噪声对微生物连续培养的影响,研究了一类流出率受环境噪声扰动的具有单调功能反应函数的恒化器模型.利用随机微分方程比较定理得到了全局正解的存在唯一性定理;通过构造Lyapunov函数,证明了绝灭平衡点是随机全局渐近稳定的;证明了当噪声强度较小时,系统的解将围绕相应确定性模型的正平衡点振荡;当噪声强度较大时,噪声会引起微生物的整体溢出.所得模型及结论将现有结果推广至单调功能反应函数情形.     

无阻尼弱耗散抽象发展方程的强全局吸引子

运用半群理论、收缩函数理论和定义泛函的方法,当非线性项满足较弱的耗散型条件时,在空间V_(2θ)×V_θ×L_μ~2(R~+;V_(2θ))中得到了无阻尼弱耗散抽象发展方程的强全局吸引子的存在性.