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interior-point algorithm from the fmincon routine  (MathWorks Inc)


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    MathWorks Inc interior-point algorithm from the fmincon routine
    Interior Point Algorithm From The Fmincon Routine, 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+interior-point+algorithm/pm39402761-82-16-9
    Average 90 stars, based on 1 article reviews
    interior-point algorithm from the fmincon routine - by Bioz Stars, 2026-09
    90/100 stars

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    Article Title: Link transmission model: A formulation with enhanced compute time for large-scale network optimization
    Article Snippet: We formulate a traffic theoretic and probabilistic analytical link transmission model.. The proposed model extends past work that is based on a stochastic formulation of the link transmission model, which itself is an operational formulation of Newell’s simplified theory of kinematic waves.. The proposed model yields a probabilistic description of the link’s upstream and downstream boundary conditions.

    Article Title: The psychological, computational, and neural foundations of indebtedness
    Article Snippet: 1 by minimizing the sum of squared error of the percentages that the model’s behavioral predictions deviate actual behaviors over all the trials that participants had to accept help using Matlab’s fmincon routine.

    Article Title: Electrical equivalent circuit for analyzing the effect of signal shape on power distribution in cochlear implant electrodes and surrounding tissue.
    Article Snippet: In order to determine the optimum values of the EEC elements that best match the experimental data, impedance spectroscopic measurements between different SEs and the most apical SE in bipolar arrangement were used to align the characteristic of the EEC model with the experimental behavior by optimizing the initial EEC element values using the fitting routine fmincon in MATLAB.

    Article Title: Parallel transmit hybrid pulse design for controlled on-resonance magnetization transfer in R 1 mapping at 7T.
    Article Snippet: The optimization was solved using a multi-start strategy in MATLAB with the interior-point algorithm from the fmincon routine, providing first and second order analytical derivatives, and the following constraints: SAR10g,max = 20W∕kg (using vendor provided SAR model with NVOP = 8) in first level SAR mode50; Vmax = 207V,max = 24W, Gmaxamp = 30 mT m−1, Gmaxslew = 80 T m −1s−1.

    Article Title: Accelerated B 1 + $$ {\mathrm{B}}_1^{+} $$ mapping and robust parallel transmit pulse design for heart and prostate imaging at 7 T.
    Article Snippet: Optimizations were performed with MATLAB’s fmincon routine, using an interior-point algorithm.

    Article Title: A sensitivity-based estimation method for investigating control co-design relevance
    Article Snippet: All optimization problems are solved using the active-set optimization algorithm implemented in the fmincon routine of MATLAB (The MathWorks Inc., 2019).

    Article Title: The psychological, computational, and neural foundations of indebtedness
    Article Snippet: In each trial, the probability of the participant choosing to accept help is given by P(Accept) = e'()**+,$)// e'()**+,$)// + e'(0+1+*$)// (14) We then conducted maximum likelihood estimation at the individual level by minimizing the negative log likelihood of the decision that the participant made (DB = Accept or Reject) over each trial t with 1000 different starting values across the four dimensional theta-phi-kappa-lambda parameter space using the fmincon routine implemented in Matlab: LLE = −%log (P(D! (t))) # $%& (15)

    Article Title: Unraveling Regulatory Feedback Mechanisms in Adult Neurogenesis Through Mathematical Modelling
    Article Snippet: The cost function was then minimized by using the fmincon routine in MathWorks MATLAB software, with the sequential quadratic programming ( ’sqp’ ) algorithm.



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    Optimisation routine.

    Journal: Frontiers in Bioengineering and Biotechnology

    Article Title: Identification of a lumped-parameter model of the intervertebral joint from experimental data

    doi: 10.3389/fbioe.2024.1304334

    Figure Lengend Snippet: Optimisation routine.

    Article Snippet: Using an interior-point optimisation algorithm (‘fmincon’) in MatLab the rotational stiffness in flexion-extension (FE), and the translational stiffnesses in the axial and the anterior-posterior directions were optimised to minimise the following cost function (Eq.): c f = ∑ i = n w i p i − m i 2 (1) The cost function was the sum of the weighted squared absolute error between predicted ( p i ) and measured ( m i ) motion in n DoF (where n = 8, anterior-posterior, axial, right-left translation, and flexion-extension for L2 and L3).

    Techniques: