Structured Two-Point Stepsize Gradient Methods for Nonlinear Least Squares
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Optimization Theory and Applications"
DOI: 10.1007/s10957-018-1434-y
Abstract: In this paper, we present two choices of structured spectral gradient methods for solving nonlinear least squares problems. In the proposed methods, the scalar multiple of identity approximation of the Hessian inverse is obtained by… read more here.
Keywords: structured two; least squares; nonlinear least; point stepsize ... See more keywords
A nonlinear least squares four-dimensional variational data assimilation system for PM2.5 forecasts (NASM): Description and preliminary evaluation
Sign Up to like & getrecommendations! Published in 2021 at "Atmospheric Pollution Research"
DOI: 10.1016/j.apr.2021.03.003
Abstract: Abstract Air quality is a vital concern globally, especially in China. To improve fine particulate matter (PM2.5) forecasts, a nonlinear least squares four-dimensional variational (NLS-4DVar) data assimilation system was established and applied into the Weather… read more here.
Keywords: nonlinear least; system; assimilation; pm2 forecasts ... See more keywords
In-situ heavy oil viscosity prediction at high temperatures using low-field NMR relaxometry and nonlinear least squares
Sign Up to like & getrecommendations! Published in 2020 at "Fuel"
DOI: 10.1016/j.fuel.2019.116328
Abstract: Abstract Heavy oil and bitumen resources are the most abundant hydrocarbon energy source worldwide. However, due to their high viscosity, complex thermal enhanced oil recovery (EOR) methods are frequently applied to reduce it. Information about… read more here.
Keywords: viscosity; least squares; nonlinear least; oil viscosity ... See more keywords
A Nonlinear Least Squares Approach for Nonprehensile Dual-Hand Robotic Ball Juggling
Sign Up to like & getrecommendations! Published in 2017 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2017.08.1595
Abstract: Abstract This paper presents a nonlinear least squares approach to deal with dual-hand robotic ball juggling. The task considers the repetitive batting (throwing and catching in a single collision) of a ball between two paddles/hands… read more here.
Keywords: least squares; dual hand; nonlinear least; hand robotic ... See more keywords
Linear or Nonlinear Least-Squares Analysis of Kinetic Data?
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Chemical Education"
DOI: 10.1021/acs.jchemed.6b00629
Abstract: The disadvantages of the usual linear least-squares analysis of first- and second-order kinetic data are described, and nonlinear least-squares fitting is recommended as an alternative. read more here.
Keywords: squares analysis; linear nonlinear; least squares; analysis kinetic ... See more keywords
On the Barzilai–Borwein gradient methods with structured secant equation for nonlinear least squares problems
Sign Up to like & getrecommendations! Published in 2020 at "Optimization Methods and Software"
DOI: 10.1080/10556788.2020.1855170
Abstract: We propose structured spectral gradient algorithms for solving nonlinear least squares problems based on a modified structured secant equation. The idea was to integrate more details of the Hessian... read more here.
Keywords: least squares; secant equation; nonlinear least; squares problems ... See more keywords
Optimum Levenberg–Marquardt constant determination for nonlinear least-squares
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Applied Crystallography"
DOI: 10.1107/s1600576718001784
Abstract: A new method for determining an approximate optimum value for the Levenberg–Marquardt constant has been shown to improve the convergence rate of nonlinear least-squares problems including complex X-ray powder diffraction and single-crystal structural refinements. In… read more here.
Keywords: levenberg marquardt; least squares; nonlinear least; marquardt constant ... See more keywords
A new generalized quasi-Newton algorithm based on structured diagonal Hessian approximation for solving nonlinear least-squares problems with application to 3DOF planar robot arm manipulator
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3144875
Abstract: Many problems in science and engineering can be formulated as nonlinear least-squares (NLS) problems. Thus, the need for efficient algorithms to solve these problems can not be overemphasized. In that sense, we introduce a generalized… read more here.
Keywords: structured diagonal; nonlinear least; new generalized; least squares ... See more keywords
An I-frame Methodology for Approximating Nonlinear Least Squares
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2017.2753226
Abstract: The classic approach for estimating parameters of a model using historical data is to solve a nonlinear least squares optimization problem using numerical methods. We develop an I-frame methodology to solve the nonlinear least squares… read more here.
Keywords: optimization; nonlinear least; least squares; methodology ... See more keywords
Separable Nonlinear Least-Squares Parameter Estimation for Complex Dynamic Systems
Sign Up to like & getrecommendations! Published in 2020 at "Complexity"
DOI: 10.1155/2020/6403641
Abstract: Nonlinear dynamic models are widely used for characterizing processes that govern complex biological pathway systems. Over the past decade, validation and further development of these models became possible due to data collected via high-throughput experiments… read more here.
Keywords: separable nonlinear; least squares; dynamic models; nonlinear least ... See more keywords
Scaling of Hydraulic Functions in Heterogeneous Soil Using Nonlinear Least Squares Minimization Method
Sign Up to like & getrecommendations! Published in 2018 at "Current Science"
DOI: 10.18520/cs/v114/i05/1046-1054
Abstract: Presenting soil heterogeneity precisely in various spatial scales is the main key to simulate water and solute transport through it. The method described by Richards is mostly used to study water flow through vadose zone.… read more here.
Keywords: heterogeneous soil; hydraulic functions; nonlinear least; method ... See more keywords