least square non-linear function lsqnonlin (MathWorks Inc)
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least square non-linear function lsqnonlin
Least Square Non Linear Function Lsqnonlin, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/least+square+non-linear+function+lsqnonlin/pm37816828-206-89-93
Average 90 stars, based on 1 article reviews
Least Square Non Linear Function Lsqnonlin, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/least+square+non-linear+function+lsqnonlin/pm37816828-206-89-93
Average 90 stars, based on 1 article reviews
least square non-linear function lsqnonlin - by Bioz Stars,
2026-09
90/100 stars
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Derivative Assay:Article Title: Modelled broad-scale shifts on seafloor ecosystem functioning due to microplastic impacts on bioturbation Article Snippet: The predicted luminophore transportation at each depth was calculated as: 1 \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$Lum\left( x \right) \, = \, \left( {\frac{{1}}{{\sqrt {\pi D_{b} t} }}} \right)e^{{ - x^{{2}} /{4}D_{b} t}}$$\end{document} L u m x = 1 π D b t e - x 2 / 4 D b t where: \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\frac{\partial Lum(x)}{{\partial x}} = 0,\quad when\quad x = 0$$\end{document} ∂ L u m ( x ) ∂ x = 0 , w h e n x = 0 \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$Lum(x \to \infty , \, t) = 0;$$\end{document} L u m ( x → ∞ , t ) = 0 ; D b is assumed to be consistent in time; t is the duration of the experimental days, 21 days; x is the sediment layers 0–2, 2–4, 4–6, 6–8, 8–10 cm (nominal depths: 0, 2, 4, 6, 8 cm); Lum(x) is the luminophore particles at depth x ; D b was derived from a convergent iteration and the weighted regression of least-squares comparison between the observational ( obs_i ) and predicted luminophore particle ( pred_i ) profiles (see profile example in Fig. ) using the least Article Title: Modelled broad-scale shifts on seafloor ecosystem functioning due to microplastic impacts on bioturbation. Article Snippet: The predicted luminophore transportation at each depth was calculated as: where: Db is assumed to be consistent in time; t is the duration of the experimental days, 21 days; x is the sediment layers 0–2, 2–4, 4–6, 6–8, 8–10 cm (nominal depths: 0, 2, 4, 6, 8 cm); Lum(x) is the luminophore particles at depth x; Db was derived from a convergent iteration and the weighted regression of least-squares comparison between the observational (obs_i) and predicted luminophore particle (pred_i) profiles (see profile example in Fig. 6) using the least square non-linear function (LSQNONLIN, Matlab, 2021b). Comparison:Article Title: Modelled broad-scale shifts on seafloor ecosystem functioning due to microplastic impacts on bioturbation Article Snippet: The predicted luminophore transportation at each depth was calculated as: 1 \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$Lum\left( x \right) \, = \, \left( {\frac{{1}}{{\sqrt {\pi D_{b} t} }}} \right)e^{{ - x^{{2}} /{4}D_{b} t}}$$\end{document} L u m x = 1 π D b t e - x 2 / 4 D b t where: \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\frac{\partial Lum(x)}{{\partial x}} = 0,\quad when\quad x = 0$$\end{document} ∂ L u m ( x ) ∂ x = 0 , w h e n x = 0 \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$Lum(x \to \infty , \, t) = 0;$$\end{document} L u m ( x → ∞ , t ) = 0 ; D b is assumed to be consistent in time; t is the duration of the experimental days, 21 days; x is the sediment layers 0–2, 2–4, 4–6, 6–8, 8–10 cm (nominal depths: 0, 2, 4, 6, 8 cm); Lum(x) is the luminophore particles at depth x ; D b was derived from a convergent iteration and the weighted regression of least-squares comparison between the observational ( obs_i ) and predicted luminophore particle ( pred_i ) profiles (see profile example in Fig. ) using the least Article Title: Modelled broad-scale shifts on seafloor ecosystem functioning due to microplastic impacts on bioturbation. Article Snippet: The predicted luminophore transportation at each depth was calculated as: where: Db is assumed to be consistent in time; t is the duration of the experimental days, 21 days; x is the sediment layers 0–2, 2–4, 4–6, 6–8, 8–10 cm (nominal depths: 0, 2, 4, 6, 8 cm); Lum(x) is the luminophore particles at depth x; Db was derived from a convergent iteration and the weighted regression of least-squares comparison between the observational (obs_i) and predicted luminophore particle (pred_i) profiles (see profile example in Fig. 6) using the least square non-linear function (LSQNONLIN, Matlab, 2021b). |