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generalized pattern search algorithm  (MathWorks Inc)


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    MathWorks Inc generalized pattern search algorithm
    Generalized Pattern Search Algorithm, 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/generalized+pattern+search+algorithm/pm34505125-188-9-18
    Average 90 stars, based on 1 article reviews
    generalized pattern search algorithm - by Bioz Stars, 2026-11
    90/100 stars

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    Article Title: Parameter Identification From Normal and Pathological Middle Ears Using a Tailored Parameter Identification Algorithm.
    Article Snippet: Current clinical practice is often unable to identify the causes of conductive hearing loss in the middle ear with sufficient certainty without exploratory surgery.. Besides the large uncertainties due to interindividual variances, only partially understood cause–effect principles are a major reason for the hesitant use of objective methods such as wideband tympanometry in diagnosis, despite their high sensitivity to pathological changes.. For a better understanding of objective metrics of the middle ear, this study presents a model that can be used to reproduce characteristic changes in metrics of the middle ear by altering local physical model parameters linked to the anatomical causes of a pathology.

    Article Title: Modeling melanopsin-mediated effects of light on circadian phase, melatonin suppression, and subjective sleepiness.
    Article Snippet: Parameter values νLA and for the best fit to individual studies are found by fitting the model separately to each τL experimental dataset and allowing a free positive range for the parameter . τL ∈ (0,∞) Generalized pattern search algorithm (in-built ‘patternsearch’ function, Global Optimization Toolbox, The Mathworks, Inc., Natick, MA, USA) is used to find the minimum of the error function for pre-defined ) range.

    Article Title: Reduced-order model for robust aeroelastic control
    Article Snippet: The objective of aeroelastic control, i.e., aeroservoelasticity, is either suppression of instability, such as flutter, or impeding the effect of external excitation, e.g., due to a gust.. In the present work, a robust active feedback controller for a NACA64A010 airfoil model under suband transonic flow conditions is designed to impede flutter.. The airfoilmodel has an elastic heave and pitch suspension and is equipped with an active aerodynamic control surface.

    Article Title: Real-Time MRI Reveals Unique Insight into the Full Kinematics of Eye Movements
    Article Snippet: Since the eyeball shape is close to a sphere, we used the Fibonacci grid as an approximation for our model. We then used the generalized pattern search algorithm of MATLAB to find the optimal eyeball model parameters ( ).

    Article Title: Decomposing Simon task BOLD activation using a drift-diffusion model framework
    Article Snippet: Individual subject models were fit by using our SSM fitting framework (see supplementary material) which minimizes the negative log-likelihood by using Matlab’s generalized pattern search algorithm .

    Article Title: An actionable map of arm and hand muscle responses to electrical stimulation of the dorsal cervical spinal cord in humans
    Article Snippet: The cost function was defined as the mean absolute error plus the addition of an L1 regularization term and was minimized using MATLAB’s implementation of the generalized pattern search algorithm ( ).

    Article Title: A canopy conductance model with temporal physiological and environmental factors.
    Article Snippet: This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record.. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article.. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

    Article Title: Performance prediction and analysis of a PEM fuel cell operating on pure oxygen using data-driven models: A comparison of artificial neural network and support vector machine
    Article Snippet: Two data-driven models are presented to predict and analyze the performance of a PEM fuel cell operating on pure oxygen that can be used as an effective power source for airindependent operation of underwater vehicles, spacecrafts, unmanned aerial vehicles, etc.. Both artificial neural network (ANN) and support vector machine (SVM) were employed as modeling methods to construct the nonlinear empirical models for a 1.2-kW PEM fuelcell stack operating on high-pressure pure hydrogen and oxygen in dead-end mode.. A sufficient amount of data was collected from a full factorial design of test operations of the fuel-cell stack.



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