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double-precision floating point format numbers  (MathWorks Inc)


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    MathWorks Inc double-precision floating point format numbers
    Double Precision Floating Point Format Numbers, 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/double-precision+floating-point+numbers/pm39385036-529-8-1
    Average 90 stars, based on 1 article reviews
    double-precision floating point format numbers - by Bioz Stars, 2026-10
    90/100 stars

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    Article Title: Facile Conversion and Optimization of Structured Illumination Image Reconstruction Code into the GPU Environment
    Article Snippet: Single precision: 0.300000011920928955078125 Double precision: 0.299999999999999988897769753748434595763683319091796875 MATLAB uses double-precision floating-point numbers by default.

    Article Title: Tissue-specific and interpretable sub-segmentation of whole tumour burden on CT images by unsupervised fuzzy clustering
    Article Snippet: Interestingly, C = 2 implies that the membership matrix U can be stored using 2 × N double-precision floating-point numbers (i.e., 8 bytes in MatLab).

    Article Title: Investigation of channel model for weakly coupled multicore fiber
    Article Snippet: As shown in Fig. (3). the best calculation step size should be 41.0 10−× m. The reason why the relative error of step size 61.0 10−× m is higher than that of step size 41.0 10−× m is accumulated numerical error caused by limited precision of double-precision floating-point numbers in MATLAB.



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    Journal: MethodsX

    Article Title: Efficient algorithms for calculating the probability distribution of the sum of hypergeometric-distributed random variables

    doi: 10.1016/j.mex.2021.101507

    Figure Lengend Snippet: Legend for Table 1 .

    Article Snippet: However, for mid-sized values of m ( 100 < m < 1000 ), the results of the algorithm by De Pril converge to zero due to the fact that ( f X i ( 0 ) ) m = 0 using standard settings of statistical software, i.e., double-precision floating point numbers (like in MATLAB, R,...) instead of variable-precision floating point numbers.

    Techniques: Software