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plugin functions  (OriginLab corp)


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    OriginLab corp plugin functions
    Plugin Functions, supplied by OriginLab corp, 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/built-in+function+svd/plugin+functions/pm39060271-303-14-17
    Average 90 stars, based on 1 article reviews
    plugin functions - by Bioz Stars, 2026-11
    90/100 stars

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    other:

    Article Title: Serial X-ray liquidography: multi-dimensional assay framework for exploring biomolecular structural dynamics with microgram quantities.
    Article Snippet: In this study, we conducted a brief kinetic analysis of each reaction using built-in plugin functions in OriginLab (for exponential fitting) and MATLAB (for SVD analysis).



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    Top 6 singular values and vectors of sparse matrices by svt, svds and svd. Reported are the average run time (in seconds) and standard error (in parentheses) based on 10 runs.

    Journal: Journal of statistical software

    Article Title: svt: Singular Value Thresholding in MATLAB

    doi: 10.18637/jss.v081.c02

    Figure Lengend Snippet: Top 6 singular values and vectors of sparse matrices by svt, svds and svd. Reported are the average run time (in seconds) and standard error (in parentheses) based on 10 runs.

    Article Snippet: When a fixed number of top singular values and vectors are requested, svt expands the capability of MATLAB’s built-in function svds by allowing function handle input.

    Techniques:

    Top 6 singular values and vectors of “sparse + low rank” matrices by svt and svds. Structured matrices are formed by adding a random rank-10 matrix to the original sparse test matrix. Reported are the average run time (in seconds) and standard error (in parentheses) based on 10 simulation replicates.

    Journal: Journal of statistical software

    Article Title: svt: Singular Value Thresholding in MATLAB

    doi: 10.18637/jss.v081.c02

    Figure Lengend Snippet: Top 6 singular values and vectors of “sparse + low rank” matrices by svt and svds. Structured matrices are formed by adding a random rank-10 matrix to the original sparse test matrix. Reported are the average run time (in seconds) and standard error (in parentheses) based on 10 simulation replicates.

    Article Snippet: When a fixed number of top singular values and vectors are requested, svt expands the capability of MATLAB’s built-in function svds by allowing function handle input.

    Techniques: