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Generalized Gauss–Newton method

Known as: Generalized Gauss-Newton method 
The generalized Gauss–Newton method is a generalization of the least-squares method originally described by Carl Friedrich Gauss and of Newton's… Expand
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2017
2017
Abstract In this paper, we study the simplified generalized Gauss–Newton method in a Hilbert scale setting to get an approximate… Expand
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2015
2015
In this thesis, we advance efficient methods to solve parameter estimation problems constrained by partial differential equations… Expand
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2014
2014
This paper addresses the real-time control of autonomous vehicles under a minimum traveling time objective. Control inputs for… Expand
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2013
2013
Iterative regularization methods for nonlinear ill-posed equations of the form F (a) = y, where F : D(F ) ⊂ X → Y is an operator… Expand
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2012
2012
In this paper we present a systematic model based approach to state and parameter estimation for the induction machine. We use… Expand
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2009
2009
Iterative regularization methods for nonlinear ill-posed equations of the form F (x) = y, where F : D(F ) ⊂ X → Y is an operator… Expand
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2007
2007
  • Yong Wang
  • Comput. Stat. Data Anal.
  • 2007
  • Corpus ID: 5074474
The Fisher scoring and Gauss-Newton methods are two known methods for maximum likelihood computation. This paper provides a… Expand
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2004
2004
This paper deals with the identification of kinetic parameters in enzyme catalytic processes. Experience shows that the… Expand
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1997
1997
In this paper, a method that combines shape preservation and least squares approximation by splines with free knots is developed… Expand
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Highly Cited
1995
Highly Cited
1995
Suppose we are given noisy data which are considered to be perturbed values of a smooth, univariate function. In order to… Expand
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