插值多项式在一重积分Wiener空间下的同时逼近平均误差

本文在加权L_p范数逼近意义下确定了基于第一类Chebyshev 结点组的Lagrange 插值多项式列在一重积分Wiener 空间下同时逼近平均误差的渐近阶. 结果显示在L_p范数逼近意义下Lagrange 插值多项式列的平均误差弱等价于相应的最佳逼近多项式列的平均误差. 同时, 当2≤p≤4 时,Lagrange 插值多项式列导数逼近的平均误差弱等价于相应的导数最佳逼近多项式列的平均误差. 作为对比, 本文也确定了相应的Hermite-Fejér 插值多项式列在一重积分Wiener空间下逼近的平均误差的渐近阶.     

Lagrange插值和Hermite-Fejér插值在Wiener空间下的平均误差

在L_q-范数逼近的意义下,确定了基于Chebyshev多项式零点的Lagrange插值多项式列和Hermite-Fejér插值多项式列在Wiener空间下的p-平均误差的弱渐近阶.从我们的结果可以看出,当2≤q<∞,1≤p<∞时,基于第一类Chebyshev多项式零点的Lagrange插值多项式列和Hermite-Fejér插值多项式列的p-平均误差弱等价于相应的最佳逼近多项式列的p-平均误差.在信息基计算复杂性的意义下,如果可允许信息泛函为计算函数在固定点的值,那么当1≤p,q<∞时,基于第一类Chebyshev多项式零点的Lagrange插值多项式列和Hermite-Fejér插值多项式列在Wiener空间下的p-平均误差弱等价于相应的最小非自适应p-平均信息半径.     

拟Hermite插值在一重积分Wiener空间下的平均误差

本文在L_p范数逼近意义下确定了一种拟Hermite插值多项式列在一重积分Wiener空间下平均误差的弱渐近阶.结果显示在信息基复杂性的意义下,若可允许信息泛函为Hermite数据,则这种插值多项式列的平均误差弱等价于相应的最小非自适应信息半径.     

Lagrange插值和Hermite-Fejér插值在Wiener空间下的平均误差

在Lq-范数逼近的意义下，确定了基于Chebyshev多项式零点的Lagrange插值多项式列和Hermite-Fejér插值多项式列在Wiener空间下的p-平均误差的弱渐近阶．从我们的结果可以看出，当2≤q〈∞，1≤p〈∞时，基于第一类Chebyshev多项式零点的Lagrange插值多项式列和Hermite—Fejér插值多项式列的p-平均误差弱等价于相应的最佳逼近多项式列的p-平均误差．在信息基计算复杂性的意义下，如果可允许信息泛函为计算函数在固定点的值，那么当1≤p，q〈∞时，基于第一类Chebyshev多项式零点的Lagrange插值多项式列和Hermite-Fejér插值多项式列在Wiener空间下的p-平均误差弱等价于相应的最小非自适应p-平均信息半径．     

Hermite-Fejér插值在一重积分Wiener空间下的平均误差

本文在L_p-范数逼近意义下确定了一种Hermite-FIeér插值多项式列在一重积分Wiener空间下平均误差的弱渐近阶.结果显示在信息基复杂性的意义下,若可允许信息泛函为Hermite数据,则这种插值多项式列的平均误差在阶的意义下不是次最优的.     

拟Hermite-Fejr插值在一重积分Wiener空间下的平均误差

本文主要在Lp范数逼近意义下确定一类拟Hermite-Fejr插值多项式列在一重积分Wiener空间下平均误差的弱渐近阶.结果说明若概率空间不同,插值算子列在平均误差的意义下可能具有完全不同的逼近性质.在某些特殊情形下得到了其值或强渐近阶.     

改进Lagrange插值多项式误差上界的系数

当用Lagrange插值多项式逼近函数时,重要的是要了解误差项的性态.本文研究具有等距节点的Lagrange插值多项式,估计了Lagrange插值多项式逼近函数误差项的上界,改进了小于5次Lagrange插值多项式逼近函数误差界的系数.     

论Hermite插值

本文给出了Hermite插值多项式及其各阶导数的显式表示. 对于一个在x的某个领域内有足够高阶连续导数的函数f和位于该领域的任意一组节点, 给出了用f的Hermite插值多项式在点x的任意阶导数逼近f(x)的相应导数时余项的渐近表示.     

解两点边值问题的一类修改的三次有限体积元法

构造了求解两点边值问题的一类修改的Lagrange型三次有限体积元法.试探函数空间取以四次Lobatto多项式的零点作为插值节点的Lagrange型三次有限元空间.将插值多项式的导数超收敛点(应力佳点)作为对偶单元的节点,检验函数空间取相应于对偶剖分的分片常数函数空间.证明了新方法具有最优的H1模和L2模收敛阶,讨论了在应力佳点导数的超收敛性,并通过数值实验验证了理论分析结果.     

Lagrange插值和Hermite插值在Orlicz空间内的逼近

在Orlicz空间内研究问题是函数逼近论研究方向里的重要分支之一.插值逼近问题有着深远的理论意义和广泛的应用前景.本文在连续函数空间和L_p空间内研究插值逼近方法的基础上,研究一种Lagrange线性组合插值算子和Hermite插值算子在Orlicz空间内的逼近问题,利用连续模,Holder等式,Hardy-Littlewood极大函数,给出两类插值的逼近度估计,所得的结果更精确于前人的同类结果.     

Simultaneous Approximation of Sobolev Classes by Piecewise Cubic Hermite Interpolation

For the approximation in $L_p$-norm, we determine the weakly asymptotic orders for the simultaneous approximation errors of Sobolev classes by piecewise cubic Hermite interpolation with equidistant knots. For $p = 1$, $∞$, we obtain its values. By these results we know that for the Sobolev classes, the approximation errors by piecewise cubic Hermite interpolation are weakly equivalent to the corresponding infinite-dimensional Kolmogorov widths. At the same time, the approximation errors of derivatives are weakly equivalent to the corresponding infinite-dimensional Kolmogorov widths.     

The average errors for Hermite-Fejr interpolation on the Wiener space

For 1≤ p ∞, firstly we prove that for an arbitrary set of distinct nodes in [-1, 1], it is impossible that the errors of the Hermite-Fejr interpolation approximation in L p -norm are weakly equivalent to the corresponding errors of the best polynomial approximation for all continuous functions on [-1, 1]. Secondly, on the ground of probability theory, we discuss the p-average errors of Hermite-Fejr interpolation sequence based on the extended Chebyshev nodes of the second kind on the Wiener space. By our results we know that for 1≤ p ∞ and 2≤ q ∞, the p-average errors of Hermite-Fejr interpolation approximation sequence based on the extended Chebyshev nodes of the second kind are weakly equivalent to the p-average errors of the corresponding best polynomial approximation sequence for L q -norm approximation. In comparison with these results, we discuss the p-average errors of Hermite-Fejr interpolation approximation sequence based on the Chebyshev nodes of the second kind and the p-average errors of the well-known Bernstein polynomial approximation sequence on the Wiener space.     

The Average Errors for Hermite Interpolation on the 1-Fold Integrated Wiener Space

For the weighted approximation in Lp-norm,the authors determine the weakly asymptotic order for the p-average errors of the sequence of Hermite interpolation based on the Chebyshev nodes on the 1-fold integrated Wiener space.By this result,it is known that in the sense of information-based complexity,if permissible information functionals are Hermite data,then the p-average errors of this sequence are weakly equivalent to those of the corresponding sequence of the minimal p-average radius of nonadaptive information.     

The Simultaneous Approximation Average Errors for Bernstein Operators on the $r$-Fold Integrated Wiener Space

For weighted approximation in $L_p$ -norm, we determine strongly asymptotic orders for the average errors of both function approximation and derivative approximation by the Bernstein operators sequence on the $r$-fold integrated Wiener space.     

A NEW DERIVATIVE FREE OPTIMIZATION METHOD BASED ON CONIC INTERPOLATION MODEL

In this paper, a new derivative free trust region method is developed basedon the conic interpolation model for the unconstrained optimization. The conic inter-polation model is built by means of the quadratic model function, the collinear scalingformula, quadratic approximation and interpolation. All the parameters in this model axedetermined by objective function interpolation condition. A new derivative free method isdeveloped based upon this model and the global convergence of this new method is provedwithout any information on gradient.     

The average errors for lagrange interpolation on the Wiener space

For the weighted approximation in L _p -norm, we determine the asymptotic order for the paverage errors of Lagrange interpolation sequence based on the Chebyshev nodes on the Wiener space. We also determine its value in some special case.