Hermite–Birkhoff Interpolation Polynomial of Minimum Norm in Hilbert Space

Author(s):  
O. F. Kashpur
2021 ◽  
Vol 10 (12) ◽  
pp. 3597-3623
Author(s):  
F. Akusah ◽  
A.A. Mebawondu ◽  
H.A. Abass ◽  
M.O. Aibinu ◽  
O.K. Narain

The research efforts of this paper is to present a new inertial relaxed Tseng extrapolation method with weaker conditions for approximating the solution of a variational inequality problem, where the underlying operator is only required to be pseudomonotone. The strongly pseudomonotonicity and inverse strongly monotonicity assumptions which the existing literature used are successfully weakened. The strong convergence of the proposed method to a minimum-norm solution of a variational inequality problem are established. Furthermore, we present an application and some numerical experiments to show the efficiency and applicability of our method in comparison with other methods in the literature.


2012 ◽  
Vol 2012 ◽  
pp. 1-9 ◽  
Author(s):  
Yonghong Yao ◽  
Muhammad Aslam Noor ◽  
Yeong-Cheng Liou

We suggest and analyze a modified extragradient method for solving variational inequalities, which is convergent strongly to the minimum-norm solution of some variational inequality in an infinite-dimensional Hilbert space.


2012 ◽  
Vol 85 (2) ◽  
pp. 232-240 ◽  
Author(s):  
YONGHONG YAO ◽  
YEONG-CHENG LIOU ◽  
GIUSEPPE MARINO

AbstractTwo algorithms have been constructed for finding the minimum-norm fixed point of a λ-strict pseudo-contraction T in Hilbert space. It is shown that the proposed algorithms strongly converge to the minimum-norm fixed point of T.


Filomat ◽  
2012 ◽  
Vol 26 (2) ◽  
pp. 353-362
Author(s):  
Xiaoji Liu ◽  
Yonghui Qin ◽  
Dragana Cvetkovic-Ilic

We consider the perturbation bounds for the Moore-Penrose inverse of a given operator on Hilbert space and apply these results to the relative errors of the minimum norm least squares solution of the equation Ax = b.


1982 ◽  
Vol 34 (3) ◽  
pp. 765-768
Author(s):  
G. G. Lorentz

Let E be an m × (n + 1) regular interpolation matrix with elements ei, k = (E)i, k which are zero or one, with n + 1 ones. Then for each f ∈ Cn[a, b] and each set of knots X: a ≦ x1 < … < xm ≦ b, there is a unique interpolation polynomial P(f, E, X; t) of degree ≦ n which satisfies1A recent paper [1] discussed the continuity of P, as a function of x1, …,xm(with coalescences allowed). We would like to study in this note the analytic character of P as a function of real or complex knots X: x1, …, xm. This is easy for the Lagrange or the Hermite interpolation. In this case P is a polynomial in x1, …, xm if f is a polynomial, and an entire function in x1, …, xm if f is entire.


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