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Wiley Interdisciplinary Reviews Computational Statistics
Article . 2010 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
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Newton's method

Authors: Meza, Juan C.;

Newton's method

Abstract

AbstractNewton's method is one of the most powerful techniques for solving systems of nonlinear equations and minimizing functions. It is easy to implement and has a provably fast rate of convergence under fairly mild assumptions. Because of these and other nice properties, Newton's method is at the heart of many solution techniques used to solve real‐world problems. This article gives a short introduction to this method with a brief discussion of some of the main issues in applying this algorithm for the solution of practical problems. WIREs Comp Stat 2011 3 75–78 DOI: 10.1002/wics.129This article is categorized under: Applications of Computational Statistics > Computational Mathematics Algorithms and Computational Methods > Quadratic and Nonlinear Programming Algorithms and Computational Methods > Numerical Methods

Country
United States
Keywords

Mathematics and Computing

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
10
Top 10%
Average
Average
Green