📊 Compute strided absolute differences efficiently with the stats-strided-drangeabs library, designed for fast numerical analysis in JavaScript and C.
📊 Compute strided mid-range statistics for large datasets efficiently with the stats-strided-mskmidrange library, designed for fast numerical analysis in JavaScript.
🔍 Compute the statistical range while ignoring NaN values for efficient data analysis in JavaScript and Node.js environments.
📊 Compute the cumulative absolute minimum of a numeric array efficiently with this JavaScript library for scientific calculation.
Effortlessly compute statistical ranges in arrays with stats-array-nanmskrange. Ideal for numerical tasks in JavaScript and Node.js. 🚀📊
Calculate the cumulative minimum of single-precision floating-point strided array elements.
Calculate the mid-range of a single-precision floating-point strided array.
Calculate the minimum value of a single-precision floating-point strided array.
Calculate the minimum value of a sorted single-precision floating-point strided array.
Calculate the mid-range of a single-precision floating-point strided array according to a mask.
Calculate the minimum value of a single-precision floating-point strided array according to a mask.
Calculate the mid-range of a single-precision floating-point strided array, ignoring NaN values.
Calculate the minimum value of a single-precision floating-point strided array, ignoring NaN values.
Calculate the mid-range of a single-precision floating-point strided array according to a mask, ignoring NaN values.
Calculate the range of a single-precision floating-point strided array according to a mask.
Calculate the range of a single-precision floating-point strided array according to a mask, ignoring NaN values.
Calculate the range of a single-precision floating-point strided array, ignoring NaN values.
Calculate the range of a single-precision floating-point strided array.
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