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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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Papers overview

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2014
2014
Multisensor systems use fusion of data from multiple sensors to form accurate estimates of a target track. To fuse multiple… 
2014
2014
In this paper, a semiparametric method is proposed for estimating regression‎ function in the partially linear autoregressive… 
2012
2012
In this paper, we analyze the effect of texture regularity on the performance of image resizing (or called image retargeting… 
1995
1995
A length-based population model for Bristol Bay red king crab Paralithodes camtschaticus was updated and applied to abundance and… 
1993
1993
A method is presented for predicting the thermal conductivity of low density, silica based fibrous insulators. It is shown that… 
1992
1992
ABSTRACf This paper examines a set of simple equations describing a domestic refrigerator/freezer system and suggests several… 
1986
1986
We describe the problem of simultaneous determination of hypo‐centre locations and velocity structure, using data from… 
1972
1972
  • K. Brown
  • 1972
  • Corpus ID: 16062770
Example. With reference to the previous example of polynomial fitting, the *th, jth element of the coefficient matrix MM in (3…