A Dual Approach to Constrained Interpolationfrom a Convex Subset of Hilbert Space
@article{Deutsch1997ADA, title={A Dual Approach to Constrained Interpolationfrom a Convex Subset of Hilbert Space}, author={Frank Deutsch and Wu Li and Joseph D. Ward}, journal={Journal of Approximation Theory}, year={1997}, volume={90}, pages={385-414} }
Many interesting and important problems of best approximationare included in (or can be reduced to) one of the followingtype: in a Hilbert spaceX, find the best approximationPK(x) to anyx?Xfrom the setK?C?A?1(b),whereCis a closed convex subset ofX,Ais a bounded linearoperator fromXinto a finite-dimensional Hilbert spaceY, andb?Y. The main point of this paper is to show thatPK(x)isidenticaltoPC(x+A*y)?the best approximationto a certain perturbationx+A*yofx?from the convexsetCor from a certain…
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References
SHOWING 1-10 OF 18 REFERENCES
Constrained best approximation in Hilbert space III. Applications ton-convex functions
- Mathematics
- 1996
This paper continues the study of best approximation in a Hilbert spaceX from a subsetK which is the intersection of a closed convex coneC and a closed linear variety, with special emphasis on…
Constrained best approximation in Hilbert space
- Mathematics, Computer Science
- 1990
A simple geometric property called the “conical hull intersection property” is introduced that provides a unifying framework for most of the basic results in the subject of optimal constrained approximation.
Best interpolation with convex constraints
- Mathematics
- 1993
Abstract A characterization of any solution to the minimization problem min{||x − z|| : x ∈ K ≔ C ∩ A −1 d} is given, where A is a continuous linear map from a real Banach space X to a locally convex…
Interpolation from a Convex Subset of Hilbert Space: A Survey of Some Recent Results
- Mathematics
- 1995
Let C be a closed convex subset of the Hilbert space H, A a bounded linear operator from H to a finite-dimensional Hilbert space Y, b ∈ Y, and K(b) = C ∩A -1(b). A survey is given of recent results…
Smoothing and Interpolation in a Convex Subset of a Hilbert Space
- Mathematics
- 1988
Interpolation and smoothing subject to convex constraints is considered. We clarify instances in a Hilbert space when the problem of finding the least norm solution to these problems can be separated…
A Method for Finding Projections onto the Intersection of Convex Sets in Hilbert Spaces
- Mathematics
- 1986
Many problems require the ability to find least squares projections onto convex regions. Here it is shown that if the constraint region can be expressed as a finite intersection of simpler convex…
Approximation Theory, Wavelets and Applications
- Mathematics
- 1995
Preface. A Class of Interpolating Positive Linear Operators: Theoretical and Computational Aspects G. Allasia. Quasi-Interpolation E.W. Cheney. Approximation and Interpolation on Spheres E.W. Cheney.…
A nonlinear equation for linear programming
- MathematicsMath. Program.
- 1986
It is shown thatx* is the optimal solution of (P), of minimal norm, if and only if there exists anR > 0 such that, for eachr ≥ R, the authors havex* = (rc − Atλr)+.
Gauss-seidel method for least-distance problems
- Computer Science
- 1992
This paper reformulates the least-distance problems with bounded inequality constraints as an unconstrained convex minimization problem, which is equivalent to a system of piecewise linear equationsA(a+ATy)cd=b and proves that the Gauss-Seidel method has a linear convergence rate.