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Then,we prove the convergence of the radial basis function for solving partial differential equations with projection methods .

本文讨论用MQ作为插值的径向基函数,对自共轭椭圆型方程进行插值,证明了插值系数的唯一性,并用投影法证明了用径向基函数解自共轭椭圆型方程的收敛性。

In particular, the solution obtained by the proposed algorithm is shown to be a maximally complementary solution to the NCP concerned.

在全局收敛性假设相对较弱的条件下,所提出的算法能够得到问题的极大互补解。

Numerical experiments were performed to demonstrate the efficiency and efficacy of the proposed methods, for both smooth and piecewise smooth domains with exact and noisy data.

文中给出了数值算例说明了基本解方法和边界节点法求解椭圆型偏微分方程反问题的有效性,分析了基本解方法的收敛性,考察了光滑和分片光滑的几何区域以及数据精确和含有噪音两种情形。

By combining analysis center cutting plane methods which have developed fast in the last years, we get a analysis center cutting plane methods for convex semi-infinite programming, which has a good convergence under modest assumptions.

第二章结合近期发展起来的分析中央割平面算法,在一定的假设条件下,得到了一个凸半无限规划问题的分析中央割平面算法,并得到了很好的收敛性结果。

We prove that the solution of a nonlinear complementarity problem is exactly the equilibrium point of differential equation system, and prove the asymptotical stability and global convergence.

在一定的条件下我们证明了非线性互补问题的解是该微分方程系统的平衡点,并且证明了该微分方程系统的稳定性和全局收敛性。

When the initial states are random and the reference trajectory is iteration-varying, the new AILC can achieve the pointwise convergence over a finite time interval asymptotically along the iterative learning axis.

在随机初始状态和参考轨迹迭代变化的条件下,所提出的 AILC 仍可沿迭代学习轴渐近地实现有限时间区间上的逐点收敛性。

Based on quadratic PEk method, quadratic EPEk method is advanced and itsconvergences are discussed by the conditions of the symmetric positive definite and thepositive-definable Matrix.

基于二次PE_k方法的基础之上,文章提出了二次PE_k方法的外推迭代一二次EPE_k方法,并讨论了其在对称正定和可正定化条件下的收敛性。

In the second chapter and third chapter, for showing the convergence of Kohonen self-organizing algorithm, we consider the simulated annealing with a potential function of which the gradient is discontinuous.

为说明Kohonen自组织算法的收敛性,在第二章,第三章中,我们考虑了具有间断梯度的势函数的模拟退火。

We prove the strong con-vergence of the methods, that is, if the methods do not terminate in finite iterations,then every limit point of the sequence generated by the methods is a stationary pointof the primal problem.

本论文证明了所给算法具有强收敛性,即若算法不是有限步终止,则算法产生的迭代序列的所有极限点都是原问题的稳定点。

A general super memory gradient projection method was generalized to solve the nonlinear programming problems about the nonlinear equality constraints and in equality constraints by using general projection matrix.

利用广义投影技术,将求解无约束规划的超记忆梯度算法推广,建立了求解带非线性等式和不等式约束优化问题的一种超记忆梯度广义投影算法,并证明了算法的收敛性。

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This one mode pays close attention to network credence foundation of the businessman very much.

这一模式非常关注商人的网络信用基础。

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