The generalized Gauss–Newton method is a generalization of the least-squares method originally described by Carl Friedrich Gauss and of Newton's… (More)

Semantic Scholar uses AI to extract papers important to this topic.

2014

2014

- Robin Verschueren, Stijn De Bruyne, Mario Zanon, Janick V. Frasch, Moritz Diehl
- 53rd IEEE Conference on Decision and Control
- 2014

This paper addresses the real-time control of autonomous vehicles under a minimum traveling time objective. Control inputs for… (More)

Is this relevant?

2013

2013

- AGAH D. GARNADI
- 2013

Iterative regularization methods for nonlinear ill-posed equations of the form F (a) = y, where F : D(F ) ⊂ X → Y is an operator… (More)

Is this relevant?

2012

2012

- David N. Frick, Alexander Domahidi, Mircho I Vukov, Sébastien Mariéthoz, M. Diehl, Michael F. Morari
- 3rd IEEE International Symposium on Sensorless…
- 2012

In this paper we present a systematic model based approach to state and parameter estimation for the induction machine. We use… (More)

Is this relevant?

2009

2009

- Pallavi Mahale, M. Thamban Nair
- Math. Comput.
- 2009

Iterative regularization methods for nonlinear ill-posed equations of the form F (x) = y, where F : D(F ) ⊂ X → Y is an operator… (More)

Is this relevant?

2007

2007

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

- Yong Wang
- Computational Statistics & Data Analysis
- 2007

The Fisher scoring and Gauss–Newton methods are two known methods for maximum likelihood computation. This paper provides a… (More)

Is this relevant?

1995

1995

- Hubert Schwetlick, TORSTEN SCH UTZE
- 1995

Suppose we are given noisy data which are considered to be perturbed values of a smooth, univariate function. In order to… (More)

Is this relevant?