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泛函性

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In Chapter 2,a steady permeability identification problem in elliptic equa-tions for two-dimensional orthotropic medium is considered.We construct afunctional,obtain its first and second Gateaux differential,and prove that thefunctional is strictly convex on a convex admissible function set.We seek to iden-tify the permeability by minimization of the above functional.

第二章研究了二维稳态正交异性介质的渗透率反演问题,我们构造了一个泛函,求得该泛函的一、二阶Gateaux微分,证明了它在一个凸的容许集上的严格凸性,并使用极小化泛函即变分方法来求解此问题。

These problems include the selfadjointness of the coefficient matrix operator, the functional of the matrix operator equation, the equivalence between variational problem and boundary value problem of eddy-current fields, and the extreme value principle of the functional.

本文首先从求解时谐涡流场的〓-ψ法与〓-Ω法的矩阵算子方程出发,提出了时谐涡流场的统一矩阵算子方程,进而系统地讨论了该方程的系数矩阵算子的自伴性、矩阵算子方程的泛函、涡流场边值问题与对应变分问题的等价性以及泛函的极值原理。

It takesthe weighted average of the L2 norm of the difference of the observation and thesolution of the system and the L2 norm of the difference of conormal derivativeat the different sides of the interface for every subdomain as cost functional andthe smooth coefficients of the subproblem and the value of solution of the originalproblem at interface as identification parameters;Using the property of continu-ous functional defined on compact set,the existence of the optimal solution of theidentification problem is proved;The necessary conditions of optimality charac-terized by the system equation,the adjoit equation and the variational inequalitysimultaneously are given by introducing the conception ofdifferential andadjoit variable;An algorithm is devised and its flow graph is given.

其次,针对分片光滑动力系统的特征,结合正演过程的区域分解算法,建立了分片光滑系统的分解区域参数辨识模型,该模型以子区域上解的实测值与计算值之差的L2范数和界面两侧的通量差的L2范数的加权平均作目标泛函,各子问题的光滑系数及界面上真解的值为待辨识参量;利用紧致集上连续泛函的性质,证明了子区域上参数辨识问题最优辨识参量的存在性;引入微分的概念,借助伴随变量,给出了由系统方程,伴随方程和变分不等式共同表征的最优性必要条件;根据此必要条件设计了算法,给出了算法的程序框图。

Using Mawhin s theroy and Liapunov funtional we discuss the existence and global weak attractivity of periodic solutions for a class of functional differential equation.

利用Mawhin的迭合度理论和Liapunov泛函,讨论了一类泛函微分方程的周期解的存在性和全局弱吸引性。

In Chapters 3 and 4, we investigate the existence of periodic solutions of a class of second order functional differential equation and a class of third order functional differential equation, respectively, and obtain new sufficient conditions of their existence result of periodic solutions under growth conditions and linear growth condition, respectively.

第三章与第四章分别研究了一类二阶泛函微分方程及一类三阶泛函微分方程的周期解存在性,分别在增长条件及线性增长条件下,获得了这两类方程周期解存在性的新的充分条件,与文献中已知结果比较,我们所讨论的方程更为一般,所得结果较简洁且易于验证。

In Chapters 3 and 4, we investigate the existence of periodic solutions of a class of second order functional differential equation and a class of third order functional differential equation, respectively, and obtain new sufficient conditions of their existence result of periodic solutions under growth conditions and linear growth condition, respectively. Compared with some known results in the literature, the equations discussed by us are more general, and our results are concise and easy to be verified.

第三章与第四章分别研究了一类二阶泛函微分方程及一类三阶泛函微分方程的周期解存在性,分别在增长条件及线性增长条件下,获得了这两类方程周期解存在性的新的充分条件,与文献中已知结果比较,我们所讨论的方程更为一般,所得结果较简洁且易于验证。

The last part is concerned with the nonoscillatory problems of odd-dimentional systems of linear retarded functional differential equa-tions.

第四章研究了一类奇数维分布型线性泛函微分系统的非振动性。同时也给出了相应的中立型分布型线性泛函微分系统的非振动性。

Then we prove a nonsmooth minimax theorem by usingsome relative results about multi-valued maximal monotone mappings. Finally, we construct a nonsmooth minimax network to search for thesaddle points of the saddle functional. We have also proved that thetrajectory of the network is asymptotically convergent to thesaddle point of the saddle functional by usying Lyapunov function.

我们先介绍有关Clarke的广义梯度,次梯度及鞍泛函的有关结论;然后利用多值极大单调映象的满射性结果证明了一个非光滑的minimax定理;最后建立了一个非光滑的minimax神经网络来求解泛函的鞍点,并在一定的条件下构造出LYAPUNOV函数来证明网络的轨道渐近收敛于鞍泛函的鞍点。

First, we give the relation of Birkhoff orthogonality and functionals in Banach space, then use functionals as a tool to investigate the relations of Birkhoff orthogonality and underling Banach space.

首先,建立了Banach空间中两个元素的Birkhoff正交性和线性泛函的关系,然后以线性泛函为主要工具,讨论了Birkhoff正交性和Banach空间结构的关系。

Then, it studies the supply chain management system as a complex system to confirm the state existing during operating of the system. After that, it conducts a probability analysis on the state which the system located by applying supplement variable method, and establishes the model of distributed parameter system in a form of partial differential equations. Combining C0 ? semigroup theory in the functional analysis, it conducts a dynamic analysis on the established mathematical model. Using this method, it obtains the mathematical expression of the dynamic solution and the steady state solution, and proves the uniqueness, non-negativity and the asymptotic stability of the system solution. This dissertation applies the Matlab tool and uses two-step, three-step Simpson integral equation to imitate the condition of system solution. Then, it adds possible mode of failure and the optimization adjustment state to the system, based on which it has established the distributed parameter system model which is described by partial differential system of equations. Combining the functional analysis C0 ? semigroup theory, it studies the established mathematical model, and obtains the mathematical expression of the dynamic solution system and the steady state solution. It has proven the existing of uniqueness of the system solution, the asymptotic stability of system solution and the system solution. In addition, it has lying the theory rationale for further analysis and the research on the optimization of system.

本文首先简要综述了供应链理论、可靠性研究、鲁棒性研究以及供应链鲁棒性研究的现状;然后,将供应链系统作为一个复杂系统来分析,确定了系统运行过程中所经历的状态,通过引入补充变量的方法,建立了用偏微分方程组描述的分布参数系统模型,用泛函分析中的C_0 -半群理论得到了系统动态解和稳态解的数学表达式,证明了系统解存在的唯一性、非负性和指数阶渐近稳定性;并借助Matlab工具,利用二阶、三阶辛普森积分方程模拟系统解的性态,并给出系统动态解的仿真图;本文又对上述系统增加了系统可能失效状态和优化调整状态,并在此基础上建立了用偏微分方程组描述的分布参数系统模型,同样用泛函分析中的C_0 -半群理论对所建立的数学模型进行了研究,得到系统动态解和稳态解的数学表达式,证明了系统动态解存在的唯一性、非负性及渐近稳定性,为进一步分析和研究供应链优化奠定了理论基础。

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