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software matlab’s fmincon function  (MathWorks Inc)


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    MathWorks Inc software matlab’s fmincon function
    Software Matlab’s Fmincon Function, 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/matlab+software+function/pm40167563-140-14-13
    Average 90 stars, based on 1 article reviews
    software matlab’s fmincon function - by Bioz Stars, 2026-11
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    Article Title: When one race is not enough: a relay model explains multisensory response times
    Article Snippet: Parameters were optimised using MATLAB’s fmincon function, minimising the RMSE between the empirical and the simulated distributions at the 10 available quantiles.

    Article Title: HPV transmission and optimal control of cervical cancer in China.
    Article Snippet: Using the established parameter values, we evaluate four distinct vaccine allocation strategies: • Strategy S1 (Gender- and age-inclusive vaccination): – Target population: Both males and females across all eligible ages – Age restriction: Unrestricted by age cohort • Strategy S2 (Female-only vaccination): – Target population: Females across all eligible ages – Implementation: Unrestricted by age cohort • Strategy S3 (Male-only vaccination): – Target population: Males across all eligible ages – Implementation: Unrestricted by age cohort • Strategy S4 (Gender-inclusive young adult vaccination): – Target population: Both males and females – Age restriction: Limited to the first age cohort (15–44 years) We numerically solved the optimization problem using MATLAB’s fmincon function.

    Article Title: Reliability and accuracy of single-molecule FRET studies for characterization of structural dynamics and distances in proteins
    Article Snippet: The optimization is performed using the fmincon function of MATLAB.

    Article Title: Easy-to-use B 1 + shims for human brain imaging at 7 T.
    Article Snippet: To solve the min–max problem, we employed MATLAB’s fmincon function using the Interior Point algorithm (Optimization Toolbox).

    Article Title: Resolving the different bulk moduli within individual soft nanogels using small-angle neutron scattering
    Article Snippet: S6 are: B, the radius of the core Rc, the width of the fuzzy shell 2σ, the width of the Gaussian distribution for the size polydispersity p〈Rc〉, the nanogel mesh size ξ, the scale factor Ichain(0), and the background C. The fitting is performed using the function fmincon of Matlab, which finds a constrained minimum of a function of several variables by minimizing χ2.

    Article Title: Visual adaptation stronger at the horizontal than the vertical meridian: Linking performance with V1 cortical surface area.
    Article Snippet: For each condition, a logistic function was fit to the data using maximum likelihood estimation using the fmincon function in MATLAB.

    Article Title: Changes in Spo0A~P pulsing frequency control biofilm matrix deactivation.
    Article Snippet: Optimization was done using fmincon function of MATLAB R2023b.

    Article Title: Learning rules of engagement for social exchange within and between groups
    Article Snippet: Here we used a MAP approach with an L-BFGS-B algorithm (12) for optimization of the parameter search, as implemented in Matlab’s fmincon function, initialized at multiple, random starting points of the parameter space (10 iterations).



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    ( a ) Droplet-like DPICs were initially formed by mixing 20 μM ATTO565-labeled p53 4M ΔTAD with 0.6 μM ATTO488-labeled Random DNA and incubating for 30 minutes at room temperature. Subsequently, Cy5-labeled p21 DNA was added at varying concentrations and incubated for an additional 120 minutes: (i) 0.15 μM; (ii) 0.225 μM; (iii) 0.3 μM; (iv) 0.45 μM; (v) 0.6 μM; (vi) 0.75 μM; (vii) 0.9 μM. Representative fluorescence images at incubation time t = 4-min and t = 120-min are shown. Independent in vitro droplet experiments were repeated three times (n = 3). ( b ) Boxplot of characteristic time constants τ 1 and τ 2 for p21 DNA concentrations ranging from 0.3 to 0.9 μM. N indicates the number of individual biomolecule-rich condensates analyzed under each condition. In box plots, the black line denotes the median, box edges represent the 25 th and 75 th percentiles, whiskers indicate the range excluding outliers, and outliers are shown as individual dots (•). ( c ) Phase diagram showing normalized fluorescence intensities of ATTO565-labeled p53 4M ΔTAD and ATTO488-labeled Random DNA at the center of condensates under increasing concentrations of p21 DNA (0.3, 0.45, 0.6, and 0.75 μM). Values are shown both before p21 DNA addition and at the end of Stage I. Control experiments in which Random DNA was used in place of p21 DNA are also included. Error bars indicate mean ± s.d. Green dashed lines mark the estimated binodal boundary, and purple dashed lines represent the spinodal boundary, as confirmed by our phase-field model (see – ).

    Journal: bioRxiv

    Article Title: Hollow condensates emerge from gelation-induced spinodal decomposition

    doi: 10.1101/2025.06.25.661497

    Figure Lengend Snippet: ( a ) Droplet-like DPICs were initially formed by mixing 20 μM ATTO565-labeled p53 4M ΔTAD with 0.6 μM ATTO488-labeled Random DNA and incubating for 30 minutes at room temperature. Subsequently, Cy5-labeled p21 DNA was added at varying concentrations and incubated for an additional 120 minutes: (i) 0.15 μM; (ii) 0.225 μM; (iii) 0.3 μM; (iv) 0.45 μM; (v) 0.6 μM; (vi) 0.75 μM; (vii) 0.9 μM. Representative fluorescence images at incubation time t = 4-min and t = 120-min are shown. Independent in vitro droplet experiments were repeated three times (n = 3). ( b ) Boxplot of characteristic time constants τ 1 and τ 2 for p21 DNA concentrations ranging from 0.3 to 0.9 μM. N indicates the number of individual biomolecule-rich condensates analyzed under each condition. In box plots, the black line denotes the median, box edges represent the 25 th and 75 th percentiles, whiskers indicate the range excluding outliers, and outliers are shown as individual dots (•). ( c ) Phase diagram showing normalized fluorescence intensities of ATTO565-labeled p53 4M ΔTAD and ATTO488-labeled Random DNA at the center of condensates under increasing concentrations of p21 DNA (0.3, 0.45, 0.6, and 0.75 μM). Values are shown both before p21 DNA addition and at the end of Stage I. Control experiments in which Random DNA was used in place of p21 DNA are also included. Error bars indicate mean ± s.d. Green dashed lines mark the estimated binodal boundary, and purple dashed lines represent the spinodal boundary, as confirmed by our phase-field model (see – ).

    Article Snippet: The function of “boxplot” in MATLAB software (R2015a, 64-bit, February 12, 2015) was used to plot the boxplots in , , and Supplementary Fig. 3.

    Techniques: Labeling, Incubation, Fluorescence, In Vitro, Control