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nonlinear leastsquares fitting method with a trust-region algorithm  (MathWorks Inc)


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    MathWorks Inc nonlinear leastsquares fitting method with a trust-region algorithm
    Nonlinear Leastsquares Fitting Method With A Trust Region 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/nonlinear+leastsquares+fitting+algorithm/pm38199994-281-7-16
    Average 90 stars, based on 1 article reviews
    nonlinear leastsquares fitting method with a trust-region algorithm - by Bioz Stars, 2026-10
    90/100 stars

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    Article Title: Passive Detection of a Random Signal Common to Multi-Sensor Reference and Surveillance Arrays
    Article Snippet: For a fixed set of observations generated under H1, we study the convergence of MATLAB’s fminunc’s trust-region algorithm [47] to optimize (35).

    Article Title: Density-dependent effects are the main determinants of variation in growth dynamics between closely related bacterial strains
    Article Snippet: In all the models, to perform the fits and to obtain the parameters that describe the strain dynamics, we took a non-linear least-square approach using the Trust-Region algorithm in Matlab.

    Article Title: Improvement of pear slices drying by pretreatments and microwave-assisted convective drying method: drying characteristics, modeling of artificial neural network, principal component analysis of quality parameters
    Article Snippet: Curve fitting and statistical parameters were determined by using the nonlinear curve fitting toolbox with the trust-region algorithm in MATLAB software (R2015a, version 8.5).

    Article Title: Kinetic, Thermodynamic, Physicochemical, and Economical Characterization of Pectin from Mangifera indica L. cv. Haden Residues
    Article Snippet: Equation (5) was solved by non-linear regression using the trust region algorithm in Matlab software (R2017b, student version); the constants k 1 and k 2 were obtained.

    Article Title: Dynamic causal communication channels between neocortical areas.
    Article Snippet: Data was fit using nonlinear least-squares fitting via the trust-region algorithm (through MATLAB fit function).

    Article Title: An in vivo proton magnetic resonance spectroscopy study with optimized echo-time technique for concurrent quantification and T2 measurement targeting glutamate in the rat brain.
    Article Snippet: Objective The present study applied in vivo proton magnetic resonance spectroscopy (1H MRS) to concurrently measure the concentration and T2 relaxation time of glutamate with the concept of optimized-for-quantification-and-T2-measurementof-glutamate (OpQT2-Glu).. Materials and methods 7T MRS scans of the OpQT2-Glu were acquired from the prefrontal cortex of five rats.. The echotime-(TE)-specific J-modulation of glutamate was investigated by spectral simulations and analyses for selecting the eight TEs appropriate for T2 estimation of glutamate.

    Titration:

    Article Title: Efficient Intermolecular Charge Transport in π-Stacked Pyridinium Dimers Using Cucurbit[8]uril Supramolecular Complexes.
    Article Snippet: .. The resulting titration curve was fitted to a 1:1 binding model using MATLAB nonlinear least squares fitting function with a Trust-Region algorithm. ..

    Binding Assay:

    Article Title: Efficient Intermolecular Charge Transport in π-Stacked Pyridinium Dimers Using Cucurbit[8]uril Supramolecular Complexes.
    Article Snippet: .. The resulting titration curve was fitted to a 1:1 binding model using MATLAB nonlinear least squares fitting function with a Trust-Region algorithm. ..



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