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interior-point optimisation algorithm 'fmincon  (MathWorks Inc)


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    Structured Review

    MathWorks Inc interior-point optimisation algorithm 'fmincon
    <t>Optimisation</t> routine.
    Interior Point Optimisation Algorithm 'fmincon, 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/result/interior-point optimisation algorithm 'fmincon/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    interior-point optimisation algorithm 'fmincon - by Bioz Stars, 2026-04
    90/100 stars

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    1) Product Images from "Identification of a lumped-parameter model of the intervertebral joint from experimental data"

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

    Journal: Frontiers in Bioengineering and Biotechnology

    doi: 10.3389/fbioe.2024.1304334

    Optimisation routine.
    Figure Legend Snippet: Optimisation routine.

    Techniques Used:



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    90
    MathWorks Inc interior-point optimisation algorithm 'fmincon
    <t>Optimisation</t> routine.
    Interior Point Optimisation Algorithm 'fmincon, 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/result/interior-point optimisation algorithm 'fmincon/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    interior-point optimisation algorithm 'fmincon - by Bioz Stars, 2026-04
    90/100 stars
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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: