Finite termination of a dual Newton method for convex best C 1 interpolation and smoothing
Finite termination of a dual Newton method for convex best C 1 interpolation and smoothing
Given the data (x i ,y i ) which are in convex position, the problem is to choose the convex best C 1 interpolant with the smallest mean square second derivative among all admissible cubic C 1 -splines on the grid. This problem can be efficiently solved by its dual program, developed by Schmdit and his collaborators in a series of papers. The Newton method remains the core of their suggested numerical scheme. It is observed through numerical experiments that the method terminates in a small number of steps and its total computational complexity is only of O(n). The purpose of this paper is to establish theoretical justification for the Newton method. In fact, we are able to prove its finite termination under a mild condition, and on the other hand, we illustrate that the Newton method may fail if the condition is violated, consistent with what is numerically observed for the Newton method. Corresponding results are also obtained for convex smoothing.
317-337
Qi, Houduo
e9789eb9-c2bc-4b63-9acb-c7e753cc9a85
Qi, Liqun
69936be7-f1aa-4c1f-b403-5bd5f3ba7d4c
2003
Qi, Houduo
e9789eb9-c2bc-4b63-9acb-c7e753cc9a85
Qi, Liqun
69936be7-f1aa-4c1f-b403-5bd5f3ba7d4c
Qi, Houduo and Qi, Liqun
(2003)
Finite termination of a dual Newton method for convex best C 1 interpolation and smoothing.
Numerische Mathematik, 96 (2), .
(doi:10.1007/s00211-003-0471-z).
Abstract
Given the data (x i ,y i ) which are in convex position, the problem is to choose the convex best C 1 interpolant with the smallest mean square second derivative among all admissible cubic C 1 -splines on the grid. This problem can be efficiently solved by its dual program, developed by Schmdit and his collaborators in a series of papers. The Newton method remains the core of their suggested numerical scheme. It is observed through numerical experiments that the method terminates in a small number of steps and its total computational complexity is only of O(n). The purpose of this paper is to establish theoretical justification for the Newton method. In fact, we are able to prove its finite termination under a mild condition, and on the other hand, we illustrate that the Newton method may fail if the condition is violated, consistent with what is numerically observed for the Newton method. Corresponding results are also obtained for convex smoothing.
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Published date: 2003
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Operational Research
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Local EPrints ID: 29642
URI: http://eprints.soton.ac.uk/id/eprint/29642
PURE UUID: 364fcc85-5941-40d6-8a97-d2aa79a633bb
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Date deposited: 12 May 2006
Last modified: 16 Mar 2024 03:41
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Author:
Liqun Qi
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