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least squares nonlinear fitting algorithm lsqnonlin  (MathWorks Inc)


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    MathWorks Inc least squares nonlinear fitting algorithm lsqnonlin
    Least Squares Nonlinear Fitting Algorithm 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/nonlinear+least-squares+algorithm+lsqnonlin/pm39368976-336-7-13
    Average 90 stars, based on 1 article reviews
    least squares nonlinear fitting algorithm lsqnonlin - by Bioz Stars, 2026-10
    90/100 stars

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    Article Title: Frequency and time dependent viscoelastic characterization of pediatric porcine brain tissue in compression.
    Article Snippet: Understanding the viscoelastic behavior of pediatric brain tissue is critical to interpret how external mechanical forces affect head injury in children.. However, knowledge of the viscoelastic properties of pediatric brain tissue is limited, and this reduces the biofidelity of developed numeric simulations of the pediatric head in analysis of brain injury.. Thus, it is essential to characterize the viscoelastic behavior of pediatric brain tissue in various loading conditions and to identify constitutive models.

    Article Title: Longitudinal relaxation in fat-water mixtures and its dependence on fat content at 3 T.
    Article Snippet: Funding information Fonds de Recherche du Québec Santé, Programme de chercheurs boursiers; Natural Sciences and Engineering Research Council of Canada (NSERC), Grant/Award Number: 04857-2015; Montreal General Hospital Foundation; Research Institute of the McGill University Health Centre Longitudinal (T1) relaxation of triglyceride molecules and water is of interest for fatwater separation and fat quantification.. A better understanding of T1 relaxation could benefit modeling for applications in fat quantification and relaxation mapping.. This work investigated T1 relaxation of spectral resonances of triglyceride molecules and water in liquid fat-water mixtures and its dependence on the fat fraction.

    Article Title: Rheological characterization of human brain tissue.
    Article Snippet: The rheology of ultrasoft materials like the human brain is highly sensitive to regional and temporal variations and to the type of loading.. While recent experiments have shaped our understanding of the time-independent, hyperelastic response of human brain tissue, its time-dependent behavior under various loading conditions remains insufficiently understood.. Here we combine cyclic and relaxation testing under multiple loading conditions, shear, compression, and tension, to understand the rheology of four different regions of the human brain, the cortex, the basal ganglia, the corona radiata, and the corpus callosum.

    Article Title: Viscoelastic parameter identification of human brain tissue.
    Article Snippet: In general, our viscoelastic model has 2+2 m+m parameters, μ∞ and α∞ to characterize the equilibrium response, μi and αi to characterize the non-equilibrium response, and ηi to characterize the relaxation time for each viscoelastic element i = 1, ..,m. Here, for simplicity, we assumed that α = α∞ = αi, which reduced the number of indepedent parameters to 2 + 2 m. We identified these parameters using the nonlinear least-squares algorithm lsqnonlin in MATLAB.

    Article Title: Earthquake structural modal estimates of multi-storey frames by a refined Frequency Domain Decomposition algorithm
    Article Snippet: This paper targets the frequency domain identification of current structural modal properties under earthquake excitation.. A new refined Frequency Domain Decomposition (rFDD) algorithm is implemented towards the output-only modal dynamic identification of heavy-damped frame structures, which are subjected to a wide set of strong ground motions.. In fact, both seismic excitation and/or high damping values shall not fulfil traditional FDD assumptions.

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    Article Title: Rate-dependent constitutive modeling of brain tissue.
    Article Snippet: In this paper, the dynamic behavior of bovine brain tissue, measured from a set of in vitro experiments, is investigated and represented through a nonlinear viscoelastic constitutive model.. The brain samples were tested by employing unconfined compression tests at three different deformation rates of 10, 100, and 1000 mm/s.. The tissue exhibited a significant ratedependent behavior with different compression speeds.

    Article Title: Mechanical properties of cell- and microgel bead-laden oxidized alginate-gelatin hydrogels.
    Article Snippet: .. To calibrate the shear modulus μ and nonlinearity parameter α, we used the nonlinear least-squares algorithm lsqnonlin in MATLAB and minimized the objective function χ2 1⁄4 Xn i1⁄41 ðPzz PΨzzÞ2i ; ð6Þ where n is the number of considered experimental data points, and Pzz and PΨzz are the experimentally determined and model predicted Piola stresses, respectively. ..

    Article Title: Towards microstructure-informed material models for human brain tissue.
    Article Snippet: .. We then determined the parameters μ and α, which best represent the experimental data, by minimizing the objective function χ2 = ∑ns i=1(Pxz − PΨxz)2i + ∑nc+nt i=1 (Pzz − PΨzz)2i , where ns, nc, and nt are the number of considered experimental data points for shear, compression, and tension loadings, with the nonlinear least-squares algorithm lsqnonlin in MATLAB Release 2018b. ..



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