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levenberg–marquardt nonlinear curvefitting algorithm  (MathWorks Inc)


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    MathWorks Inc levenberg–marquardt nonlinear curvefitting algorithm
    Levenberg–Marquardt Nonlinear Curvefitting Algorithm, 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/curvefit+algorithm/pm26092667-73-13-19
    Average 90 stars, based on 1 article reviews
    levenberg–marquardt nonlinear curvefitting algorithm - by Bioz Stars, 2026-10
    90/100 stars

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    Article Title: Impact of the Different Chemical-Based Decellularization Protocols on the Properties of the Caprine Pericardium.
    Article Snippet: Purpose This study aims to decellularized caprine pericardium tissue with varied non-ionic surfactant and anionic detergent concentrations.. Methods Protocol A consists of 1%, 0.5%, and 0.25% (w/v) sodium dodecyl sulphate (SDS).. Protocol B uses 1%, 0.5%, and 0.25% (w/v) Triton X-100.

    Article Title: Visualizing flow dynamics and restart of Carbopol gel solutions in tube and parallel-plates geometries with wall slip.
    Article Snippet: The present study examines the impact of slip in Carbopol solutions during the restart flow in pipelines utilizing in situ visualization techniques.. Rheological tests were conducted using smooth and hatched parallel plate geometries to obtain the rheological characteristics of the solutions.. The behavior of the solutions in the creep tests is compared with those in the experimental unit.

    Article Title: From resonance to chaos by modulating spatiotemporal patterns through a synthetic optogenetic oscillator
    Article Snippet: The sum of squared error (weighted with the experimental error) was minimised first with the simplex method[6] (fminsearch function of MATLAB), then the result was fine-tuned with the Levenberg–Marquardt nonlinear least squares algorithm[5] (nlinfit function of MATLAB, with 10−8 tolerance for the parameters and 10−10 function tolerance).

    Article Title: Genotypic and Phenotypic Diversity of Kluyveromyces marxianus Isolates Obtained from the Elaboration Process of Two Traditional Mexican Alcoholic Beverages Derived from Agave: Pulque and Henequen ( Agave fourcroydes ) Mezcal
    Article Snippet: The model parameters were determined by fitting the growth curves to the Gompertz equation using the Levenberg–Marquardt nonlinear least squares method programmed in the MATLAB software (MathWorks, Inc., Natick, MA, USA). (1) Y t = Y m a x · e x p − e x p μ m · exp 1 Y m a x · λ − t + 1 where Y t is the OD 600 value at a time t, Y max the maximum OD 600 value, μ m the maximum growth (OD 600 ·h −1 ), and λ is the lag phase time (h).

    Article Title: Kinetic Modeling of In Vivo K + Distribution and Fluxes with Stable K + Isotopes: Effects of Dietary K + Restriction
    Article Snippet: The model parameters (i.e., K ECF , K ICF2 , K ICF3 , k 01 , k 21 , and k 31 ) were identified in individual animals from plasma Δ 41 K/ 39 K profiles using a Levenberg–Marquardt nonlinear algorithm on MATLAB (R2019a Update 9).

    Article Title: Accuracy of an Air-Puff Dynamic Tonometry Biomarker to Discriminate the Corneal Biomechanical Response in Patients With Keratoconus
    Article Snippet: Methods: Dynamic Scheimpflug imaging tonometry was performed with Corvis ST (Oculus Optikgeräte GmbH, Germany) in patients with keratoconus (n = 24; study group) and age-matched healthy subjects (n = 32; control).. An image processing algorithm was developed to analyze the video sequence of the Corvis ST airpuff event and to determine the geometric and temporal parameters that correlated with the corneal tissue biomechanical properties.. A modified 3-element viscoelastic model was used to derive the kc parameter, which represented the corneal tissue resistance to deformation under load.

    Article Title: Physics-based, data-driven production forecasting in the Utica and Point Pleasant Formation
    Article Snippet: Next, we fit the extrapolated physical scaling master curves with the historical mean well prototypes using the Levenberg–Marquardt least-squares minimization fit from MATLAB.



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