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Non-linear least squares

Known as: NLS, Nonlinear least squares, NLLS 
Nonlinear least squares is the form of least squares analysis used to fit a set of m observations with a model that is non-linear in n unknown… 
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Related topics

Related topics

32 relations
Cholesky decompositionComputer simulationConjugate gradient methodCurve fitting

Broader (2)

Mathematical optimizationNumerical analysis

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2012
2012
Autonomous Prediction of GPS and GLONASS Satellite Orbits
A method to predict satellite orbits in a stand-alone consumer-grade GNSS navigation device is presented. The motivation for this… 
2010
2010
Recasting Tomo-PIV Reconstruction as Constrained and L1-Regularized Non-Linear Least Squares Problem
Tomo-PIV is a volumetric flow measurement system. It is able to obtain instantaneous 3D-3C velocity fields using multiple cameras… 
2009
2009
Ellipse fitting based on non-linear least squares
In order to detect accurate locations and boundaries of elliptical objects on images,an ellipse fitting method based on non… 
Highly Cited
2006
Highly Cited
2006
Control with building mass-Part I: Thermal response model
In this paper we derive a general model and reliable identification procedures that can be applied autonomously for on-line… 
Highly Cited
1997
Highly Cited
1997
Accurate fitting of immittance spectroscopy frequency-response data using the stretched exponential model
Highly Cited
1993
Highly Cited
1993
Determination of an improved intermolecular global potential energy surface for Ar–H2O from vibration–rotation–tunneling spectroscopy
A new highly accurate and detailed intermolecular potential surface for Ar–H2O is derived by a direct nonlinear least squares fit… 
Review
1989
Review
1989
Approaches to extending the Hough transform
The authors survey three approaches to extending the Hough transform that improve speed and reduce memory requirements. Two… 
1984
1984
Probability distribution of the multivariate nonlinear least squares estimates
The nonlinear regression model yi = f}t(0u . . . . 0,„) + et with (e1, . . . , eN) ~ A (0, J)) a r , d with //,(.) twice… 
1980
1980
A Study of the Gauss-Newton Method for the Solution of Nonlinear Least Squares Problems
1953
1953
Forced oscillations in non-linear systems
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