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levenberg–marquardt nonlinear regression  (RStudio)

 
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    RStudio levenberg–marquardt nonlinear regression
    Levenberg–Marquardt Nonlinear Regression, supplied by RStudio, 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-squares+algorithm+in/non+linear+least+squares+regression+with+the+levenberg+marquardt+algorithm/pmc11020164-288-0-7
    Average 90 stars, based on 1 article reviews
    levenberg–marquardt nonlinear regression - by Bioz Stars, 2026-11
    90/100 stars

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    Article Title: Cooperative Conformational Transitions Underpin the Activation Heat Capacity in the Temperature Dependence of Enzyme Catalysis
    Article Snippet: Levenberg–Marquardt nonlinear regression was carried out in RStudio.

    Article Title: Exploring CO2-Laser Microperforation: Potential for Enhanced Mass and Thermal Diffusion in Banana (Musa sapientum) Dehydration
    Article Snippet: This study investigates the potential application of CO2-laser microperforation as a pre-treatment to reduce energy consumption and drying time using three approximate pore density (6, 11 and 24 pores · cm−2) and two pore size (220.89 ± 14.15 and 431.96 ± 19.92 μm) to enhance water removal from banana slices during air-drying at 60 °C and 1.2 m · s−1.. The results demonstrate that CO2-laser microperforation significantly reduced the dehydration time by up to 40% (from 169 min in control samples to 102 min in treated samples) due to an increased rate of water diffusion.. This enhancement was corroborated by a 1.7-fold increase in the effective diffusivity coefficient, a 2.17-fold increase in the surface area-to-volume ratio, and a 1.11-fold improvement in energy absorption tendencies.

    Article Title: The influence of sample distribution on growth model output for a highly-exploited marine fish, the Gulf Corvina ( Cynoscion othonopterus )
    Article Snippet: Model parameters were estimated using non-linear least squares regression with the Levenberg–Marquardt algorithm, and confidence limits were placed around parameter estimates in R studio (using the R packages ; and ).



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