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ga ga function in matlab s global optimization toolbox  (MathWorks Inc)


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    Structured Review

    MathWorks Inc ga ga function in matlab s global optimization toolbox
    Ga Ga Function In Matlab S Global Optimization Toolbox, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 97/100, based on 526 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/s+function+of+matlab/Global+Optimization+Toolbox/pmc12631011-83-1-6
    Average 97 stars, based on 526 article reviews
    ga ga function in matlab s global optimization toolbox - by Bioz Stars, 2026-11
    97/100 stars

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    other:

    Article Title: Simulation of pulsed dynamic nuclear polarization in the steady state.
    Article Snippet: The powder.m context function of Spinach kernel was, therefore, extended to allow the user to supply arbitrary angular dependences for the relaxation rates in the form of Matlab function handles.

    Synthesized:

    Article Title: Augmentation of self-motion perception with synthetic auditory cues
    Article Snippet: .. Specifically, a binaural cue was synthesized using a 3D head-related transfer function (HRTF; MATLAB audio toolbox) to sound like it was coming from a point in space 1 m away from the participant, in a specific heading direction. ..

    Article Title: Augmentation of self-motion perception with synthetic auditory cues
    Article Snippet: .. Specifically, a binaural cue was synthesized using a 3D head-related transfer function (HRTF; Matlab audio toolbox) to sound like it was coming from a point in space one meter away from the participant. ..

    Plasmid Preparation:

    Article Title: A novel method for clustering cellular data to improve classification
    Article Snippet: .. Data are scaled, where each value is divided by the number of regions and multiplied by the number of clusters, such that the sum of all values is equal to the number of clusters and saved to a file named in the manner of “nnls__PRE_matrix__axonal_counts_per_parcel_per_cluster_and_tract_values__scaled_yyyymmddHHMMSS.xlsx.” c. Data are normalized by column and saved to a file named in the manner of “nnls__PRE_matrix__axonal_counts_per_parcel_per_cluster_and_tract_values__column_normalized_yyyymmddHHMMSS.xlsx.” d. Tract values are normalized, and the final bi-normalization data are saved to a file named in the manner of “nnls__PRE_matrix__axonal_counts_per_parcel_per_cluster_and_tract_values__bi_normalized_yyyymmddHHMMSS.xlsx.” e. The resulting vector x, where x is the k-dimensional vector representing the fractions of neurons in each neuronal class, is saved in a file named in the manner of “nnls__PRE_matrix__axonal_counts_per_parcel_per_cluster_and_tract_values__X_vector_yyyymmddHHMMSS.xlsx.” f. The squared Euclidean norm of the residual of the MATLAB function lsqnonneg() is calculated and the result saved in a file named in the manner of “nnls__PRE_matrix__axonal_counts_per_parcel_per_cluster_and_tract_values__residual_norm_yyyymmddHHMMSS.xlsx.” vi. ..



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    The diagnostics module within the MATLAB-Simulink model.

    Journal: Heliyon

    Article Title: Analyzing the influence of electric vehicle charging scheduling on distribution transformer lifespan

    doi: 10.1016/j.heliyon.2024.e39904

    Figure Lengend Snippet: The diagnostics module within the MATLAB-Simulink model.

    Article Snippet: In case of the transformer's overloading with the reverse power flows, the PV output can be curtailed according to the logic implemented in the MATLAB S-function.

    Techniques:

    The tuning module within the MATLAB-Simulink model.

    Journal: Heliyon

    Article Title: Analyzing the influence of electric vehicle charging scheduling on distribution transformer lifespan

    doi: 10.1016/j.heliyon.2024.e39904

    Figure Lengend Snippet: The tuning module within the MATLAB-Simulink model.

    Article Snippet: In case of the transformer's overloading with the reverse power flows, the PV output can be curtailed according to the logic implemented in the MATLAB S-function.

    Techniques: