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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

Maximum likelihood computation based on the Fisher scoring and Gauss-Newton quadratic approximations

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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