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Journal ArticleDOI

Quadratic Convergence of Newton's Method for Convex Interpolation and Smoothing

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TLDR
This article showed that Newton's method for convex best interpolation is locally quadratically convergent, giving an answer to a question of Irvine, Marin, and Smith [7] and strengthening a result of Andersson and Elfving [1] and our previous work.
Abstract
. In this paper, we prove that Newton's method for convex best interpolation is locally quadratically convergent, giving an answer to a question of Irvine, Marin, and Smith [7] and strengthening a result of Andersson and Elfving [1] and our previous work [5]. A damped Newton-type method is presented which has global quadratic convergence. Analogous results are obtained for the convex smoothing problem. Numerical examples are presented.

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Citations
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Journal ArticleDOI

A Quadratically Convergent Newton Method for Computing the Nearest Correlation Matrix

TL;DR: The quadratic convergence of the proposed Newton method for the nearest correlation matrix problem is proved, which confirms the fast convergence and the high efficiency of the method.
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Semismoothness of solutions to generalized equations and the Moreau-Yosida regularization

TL;DR: It is proved that the semismoothness of solutions to the Moreau-Yosida regularization of a lower semicontinuous proper convex function is implied by the semistic of the metric projector over the epigraph of the convexfunction.
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Calibrating Least Squares Semidefinite Programming with Equality and Inequality Constraints

TL;DR: This paper reformulates the least squares semidefinite programming with a large number of equality and inequality constraints as a system of semismooth equations with two level metric projection operators and designs an inexact smoothing Newton method to solve the resultingSemismooth system.
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Differentiability and semismoothness properties of integral functions and their applications

TL;DR: This paper study differentiability and semismoothness properties of functions defined as integrals of parameterized functions and applications of the developed theory to the problems of shape-preserving interpolation, option pricing and semi-infinite programming.
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On almost smooth functions and piecewise smooth functions

TL;DR: In this paper, it was shown that the B-subdifferential of an almost smooth function at a point has either one or infinitely many elements, which contrasts with piecewise smooth functions whose B-differential has only a finite number of elements.
References
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Book

A practical guide to splines

Carl de Boor
TL;DR: This book presents those parts of the theory which are especially useful in calculations and stresses the representation of splines as linear combinations of B-splines as well as specific approximation methods, interpolation, smoothing and least-squares approximation, the solution of an ordinary differential equation by collocation, curve fitting, and surface fitting.
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A nonsmooth version of Newton's method

TL;DR: It is shown that the gradient function of the augmented Lagrangian forC2-nonlinear programming is semismooth, and the extended Newton's method can be used in the augmentedlagrangian method for solving nonlinear programs.
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Solution of monotone complementarity problems with locally Lipschitzian functions

TL;DR: IfF is monotone in a neighbourhood ofx, it is proved that 0 εδθ(x) is necessary and sufficient forx to be a solution of CP(F) and the generalized Newton method is shown to be locally well defined and superlinearly convergent with the order of 1+p.
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Piecewise smoothness, local invertibility, and parametric analysis of normal maps

TL;DR: These properties of the Euclidean projection map are used to obtain inverse and implicit function theorems for associated normal maps, using a new characterization of invertibility of a PC1 function in terms of its B-derivative.
Journal ArticleDOI

Semismooth Karush-Kuhn-Tucker equations and convergence analysis of Newton and quasi-Newton methods for solving these equations

TL;DR: A mixed quasi-Newton method which converges Q-superlinearly with common symmetrical updating rules under the above conditions for the generalized Newton method is presented.