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nonlinearly constrained optimization function fmincon.m  (MathWorks Inc)


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    MathWorks Inc nonlinearly constrained optimization function fmincon.m
    Nonlinearly Constrained Optimization Function Fmincon.M, 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/fmincon%2Em+optimization+function/pmc09621284-99-17-22
    Average 90 stars, based on 1 article reviews
    nonlinearly constrained optimization function fmincon.m - by Bioz Stars, 2026-11
    90/100 stars

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    Article Title: An Engineering Model to Test for Sensory Reweighting: Nonhuman Primates Serve as a Model for Human Postural Control and Vestibular Dysfunction
    Article Snippet: A constrained optimization function (“fmincon,” matlab Optimization Toolbox) was used to adjust the model parameters to minimize the normalized mean square error described in Eq. (10) .

    Article Title: In vivo spectroscopic evaluation of human tissue optical properties and hemodynamics during HPPH-mediated photodynamic therapy of pleural malignancies
    Article Snippet: The spectral fitting was performed in the 500- to 800-nm range in 0.49-nm intervals using a nonlinearly constrained optimization function offered in MATLAB, fmincon.m.

    Article Title: Quantitative physiology and immunohistochemistry of oral lesions
    Article Snippet: Finally, a nonlinearly constrained optimization function, FMINCON implemented in MATLAB (The MathWorks, Inc., Natick, Massachusetts), was used to globally fit the data to extracts tissue scattering parameters and chromophore concentrations of oxyhemoglobin (c HbO2 ) and deoxyhemoglobin (c Hb ).

    Article Title: Impact of water characteristics on the discrimination of benthic cover in and around coral reefs from imaging spectrometer data
    Article Snippet: Coral reefs are the foundation of productive ecosystems in the global, tropical oceans and are under threat from a variety of local to global scale stressors.. Satellite imagery provides a tool to identify and understand the processes that control coral reef degradation, however due to the dynamic nature of seawater constituents, current spaceborne multispectral sensors cannot reliably discriminate between the many coral reef benthic classes necessary to detect change.. Hyperspectral imagers may provide sufficient spectral resolution to estimate water column properties and differentiate benthic classes, however, the effects of depth, seawater constituents, and classification algorithm on the accuracy of benthic classifications have not been systematically assessed.

    Dispersion:

    Article Title: Does the early frog catch the worm? Disentangling potential drivers of a parasite age–intensity relationship in tadpoles
    Article Snippet: .. Because ε(t) and σi(t) are completely specified by independent data, all models for λi,tot have one free parameter, c. These models were fit to the observed cyst counts using maximum likelihood methods, i.e., for each model the free parameter(s) θ were varied to maximize the log-likelihood ( )⎥ ⎦ ⎤ ⎢ ⎣ ⎡= ∏ = N i iyfL 1 log θ where yi is the count of environmental cysts, N = 92 is the number of tadpoles for which environmental cyst counts were available, f(y) is the probability density function of the probability distribution, and θ represents the free parameters of the model. Because the parasite intensities were overdispersed, the data were modeled using a negative binomial distribution with intensity λi,tot and free dispersion parameter, k. Optimization was conducted using the multidimensional constrained optimization function “fminsearchbnd” (available on the Matlab Central file exchange at http://www.mathworks.com/matlabcentral/) in Matlab v6.1 (Mathworks, Cambridge MA). ..



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