Nonlinear least squares and Sobolev gradients

Applied Numerical Mathematics ◽

10.1016/j.apnum.2012.12.002 ◽

2013 ◽

Vol 65 ◽

pp. 91-104 ◽

Author(s):

Robert J. Renka

Keyword(s):

Least Squares ◽

Nonlinear Least Squares ◽

Sobolev Gradients

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General framework for asymptotic properties of generalized weighted nonlinear least squares estimators with deterministic and stochastic weighting

1997 European Control Conference (ECC) ◽

10.23919/ecc.1997.7082178 ◽

1997 ◽

Author(s):

Gerd Vandersteen ◽

Hugo Van hamme ◽

Rik Pintelon

Keyword(s):

Least Squares ◽

General Framework ◽

Asymptotic Properties ◽

Nonlinear Least Squares ◽

Least Squares Estimators

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Nonlinear Least Squares Parameter Estimation Problem Using Levenberg-Marquardt Method

Journal of Environmental Science Computer Science and Engineering & Technology ◽

10.24214/jecet.c.6.3.30313 ◽

2017 ◽

Vol 6 (3) ◽

Keyword(s):

Parameter Estimation ◽

Least Squares ◽

Nonlinear Least Squares ◽

Estimation Problem ◽

Parameter Estimation Problem ◽

Marquardt Method ◽

Levenberg Marquardt

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Bootstrapping Nonlinear Least Squares Estimates in the Kalman Filter Model.

10.21236/ada167099 ◽

1986 ◽

Author(s):

David S. Stoffer

Keyword(s):

Kalman Filter ◽

Least Squares ◽

Nonlinear Least Squares ◽

Filter Model ◽

Least Squares Estimates

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Comments on “Estimating Michaelis-Menten or Langmuir Isotherm Constants by Weighted Nonlinear Least Squares”

Soil Science Society of America Journal ◽

10.2136/sssaj1990.03615995005400030058x ◽

1990 ◽

Vol 54 (3) ◽

pp. 941-942 ◽

Author(s):

D.A. Barry

Keyword(s):

Least Squares ◽

Langmuir Isotherm ◽

Nonlinear Least Squares

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An Asymptotically Smoothed Two-Stage Nonlinear Least Squares Estimator for Threshold Regression Models with Endogenous Variable

SSRN Electronic Journal ◽

10.2139/ssrn.1740605 ◽

2010 ◽

Author(s):

Daniele Massacci

Keyword(s):

Least Squares ◽

Regression Models ◽

Nonlinear Least Squares ◽

Least Squares Estimator ◽

Endogenous Variable ◽

Threshold Regression ◽

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Nonlinear Least Squares and Maximum Likelihood Estimators for Efficient Multivariate Regression Analysis with the Item Count Technique

SSRN Electronic Journal ◽

10.2139/ssrn.1907111 ◽

2000 ◽

Author(s):

Magid Maatallah

Keyword(s):

Regression Analysis ◽

Maximum Likelihood ◽

Least Squares ◽

Multivariate Regression ◽

Maximum Likelihood Estimators ◽

Nonlinear Least Squares ◽

Multivariate Regression Analysis ◽

Item Count Technique

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Nonlinear Least Squares Techniques for System Identification in Water Quality

Journal of Environmental Systems ◽

10.2190/jchn-0krk-4jqn-edmw ◽

1974 ◽

Vol 4 (1) ◽

pp. 23-37

Author(s):

J.-G. Beliveau ◽

G. Mattingly

Keyword(s):

Water Quality ◽

System Identification ◽

Least Squares ◽

Nonlinear Least Squares ◽

Least Squares Techniques

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A nonlinear least squares four-dimensional variational data assimilation system for PM2.5 forecasts (NASM): Description and preliminary evaluation

Atmospheric Pollution Research ◽

10.1016/j.apr.2021.03.003 ◽

2021 ◽

Vol 12 (4) ◽

pp. 122-132

Author(s):

Shan Zhang ◽

Xiangjun Tian ◽

Hongqin Zhang ◽

Xiao Han ◽

Meigen Zhang

Keyword(s):

Data Assimilation ◽

Least Squares ◽

Nonlinear Least Squares ◽

Variational Data Assimilation ◽

Preliminary Evaluation ◽

Data Assimilation System ◽

Assimilation System

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Alternative structured spectral gradient algorithms for solving nonlinear least-squares problems

Heliyon ◽

10.1016/j.heliyon.2021.e07499 ◽

2021 ◽

pp. e07499

Author(s):

Mahmoud Muhammad Yahaya ◽

Poom Kumam ◽

Aliyu Muhammed Awwal ◽

Sani Aji

Keyword(s):

Least Squares ◽

Nonlinear Least Squares ◽

Least Squares Problems ◽

Gradient Algorithms

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Nonlinear Least-Squares State Estimation for 2D RFID-Based Motion Capture

2020 IEEE International Conference on RFID (RFID) ◽

10.1109/rfid49298.2020.9244910 ◽

2020 ◽

Author(s):

Qian Yang ◽

David G. Taylor ◽

Gregory D. Durgin

Keyword(s):

Least Squares ◽

State Estimation ◽

Motion Capture ◽

Nonlinear Least Squares

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