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Review

2016

Review

2016

As any real-life data, data modeled by linear mixed-effects models often contain outliers or other contamination. Even little… Expand

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Highly Cited

2008

Highly Cited

2008

Large-scale logistic regression arises in many applications such as document classification and natural language processing. In… Expand

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Highly Cited

2006

Highly Cited

2006

In this paper, we provide theoretical analysis for a cubic regularization of Newton method as applied to unconstrained… Expand

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Highly Cited

2003

Highly Cited

2003

Preface How to Get the Software 1. Introduction 2. Finding the Newton Step with Gaussian Elimination 3. Newton-Krylov Methods 4… Expand

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Highly Cited

2002

Highly Cited

2002

This paper addresses complementarity problems motivated by constrained optimal control problems. It is shown that the primal-dual… Expand

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Highly Cited

2000

Highly Cited

2000

In the given method, we suggest an improvement to the iteration of Newton's method. Derivation of Newton's method involves an… Expand

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Highly Cited

1996

Highly Cited

1996

An inexact Newton method is a generalization of Newton’s method for solving $F(x) = 0,F:\mathbb{R}^n \to \mathbb{R}^n $in which… Expand

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Highly Cited

1995

Highly Cited

1995

This expository paper traces the development of the Newton-Raphson method for solving nonlinear algebraic equations through the… Expand

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Highly Cited

1993

Highly Cited

1993

Newton's method for solving a nonlinear equation of several variables is extended to a nonsmooth case by using the generalized… Expand

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Highly Cited

1974

Highly Cited

1974

SUMMARY To define a likelihood we have to specify the form of distribution of the observations, but to define a quasi-likelihood… Expand

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