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parfor loop  (MathWorks Inc)


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    MathWorks Inc parfor loop
    Parfor Loop, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 95/100, based on 389 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/parallel+for+loop+parfor+in/Parallel+Computing+Toolbox/pmc11002116-76-38-42
    Average 95 stars, based on 389 article reviews
    parfor loop - by Bioz Stars, 2026-10
    95/100 stars

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    Article Title: Estimation of Spatially Distributed Thermal Properties of Heterogeneous Media with Non-Intrusive Measurement
    Article Snippet: This article deals with estimation of spatially distributed thermal properties of two-dimensional heterogeneous media from the solution of inverse heat conduction problem.. The experimental procedure involves sequential heating of sample at four discrete locations on one side and recording transient temperature on the other side non-intrusively.. The inverse problem formulation is carried out as parameter estimation problem and the unknown parameters are estimated through minimization of sum of squared error between measured and simulated temperatures using Levenberg–Marquardt algorithm.

    Article Title: Bayesian parameter estimation for dynamical models in systems biology.
    Article Snippet: To accelerate sampling, the likelihood is evaluated for each ensemble member in parallel using a parallel for loop (e.g., parfor in Matlab) with at most 24 parallel threads.

    Article Title: A cockle-induced bioturbation model and its impact on sediment erodibility: A meta-analysis.
    Article Snippet: The whole process of this study was designed to obtain - as exhaustively as the technical limits permitted - the most generic model. To this end, model fitting in Matlab was done using Parallel for-Loop (parfor) with the Parallel Computing ToolboxTM, which makes it possible to explore several combinations of conditions; a loop on a wide range of initial conditions were set up to ensure the “fminsearch” function found the best minimum.

    Article Title: Principal component analysis fosr fast and model-free denoising of multi b -value diffusion-weighted MR images
    Article Snippet: The synthetic MRI was implemented using parallel for loop (‘parfor’ in MATLAB) over four 3.5 GHz cores (Intel Core i7-4771).



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