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gradient-descent based search algorithm fmincon  (MathWorks Inc)


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    MathWorks Inc gradient-descent based search algorithm fmincon
    Gradient Descent Based Search 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/product/gradient+based+search+algorithm/10__1177_slash_0271678x221076566-98-5-11
    Average 90 stars, based on 1 article reviews
    gradient-descent based search algorithm fmincon - by Bioz Stars, 2026-10
    90/100 stars

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    Article Title: Localization Accuracy in Single-Molecule Microscopy
    Article Snippet: The maximum likelihood estimation was carried out using a gradient-based search algorithm (Optimization Toolbox of Matlab; Coleman et al., 1999 ).

    Article Title: Instance-based generalization for human judgments about uncertainty
    Article Snippet: To maximize the chances of finding the global maximum even for non-convex problems or shallow gradients, every training run first uses a genetic algorithm and then refines its estimate with gradient based search (MATLAB ga, fmincon).

    Article Title: New approach for the optimization of pass-schedules in open-die forging
    Article Snippet: Open-die forging is an incremental forming process, which is mainly used for the production of large parts with high requirements regarding the mechanical properties and reliability of the forged parts.. Finite element analysis (FEA) is able to simulate open die forging sequences.. It is therefore very suitable to confirm, whether a selected schedule will be successful in terms of reaching the desired geometry and internal product quality.

    Article Title: Changes in neurovascular coupling with cerebral perfusion pressure indicate a link to cerebral autoregulation
    Article Snippet: The fitting function employed a gradient-descent based search algorithm (“fmincon”, MATLAB2019b, MathWorks Inc.) to maximize the Pearson’s correlation (r) between the recorded (DHbO using NIRS) and estimated hemodynamic signal.



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