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Copy file name to clipboardExpand all lines: lib/node_modules/@stdlib/blas/ext/base/README.md
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@@ -142,10 +142,10 @@ var ns = extblas;
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- <spanclass="signature">[`sfill( N, alpha, x, strideX )`][@stdlib/blas/ext/base/sfill]</span><spanclass="delimiter">: </span><spanclass="description">fill a single-precision floating-point strided array with a specified scalar constant.</span>
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- <spanclass="signature">[`snansum( N, x, stride )`][@stdlib/blas/ext/base/snansum]</span><spanclass="delimiter">: </span><spanclass="description">calculate the sum of single-precision floating-point strided array elements, ignoring `NaN` values.</span>
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- <spanclass="signature">[`snansumkbn( N, x, stride )`][@stdlib/blas/ext/base/snansumkbn]</span><spanclass="delimiter">: </span><spanclass="description">calculate the sum of single-precision floating-point strided array elements, ignoring `NaN` values and using an improved Kahan–Babuška algorithm.</span>
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- <spanclass="signature">[`snansumkbn2( N, x, stride )`][@stdlib/blas/ext/base/snansumkbn2]</span><spanclass="delimiter">: </span><spanclass="description">calculate the sum of single-precision floating-point strided array elements, ignoring `NaN` values and using a second-order iterative Kahan–Babuška algorithm.</span>
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- <spanclass="signature">[`snansumkbn2( N, x, strideX )`][@stdlib/blas/ext/base/snansumkbn2]</span><spanclass="delimiter">: </span><spanclass="description">calculate the sum of single-precision floating-point strided array elements, ignoring `NaN` values and using a second-order iterative Kahan–Babuška algorithm.</span>
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- <spanclass="signature">[`snansumors( N, x, strideX )`][@stdlib/blas/ext/base/snansumors]</span><spanclass="delimiter">: </span><spanclass="description">calculate the sum of single-precision floating-point strided array elements, ignoring `NaN` values and using ordinary recursive summation.</span>
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- <spanclass="signature">[`snansumpw( N, x, strideX )`][@stdlib/blas/ext/base/snansumpw]</span><spanclass="delimiter">: </span><spanclass="description">calculate the sum of single-precision floating-point strided array elements, ignoring `NaN` values and using pairwise summation.</span>
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- <spanclass="signature">[`srev( N, x, stride )`][@stdlib/blas/ext/base/srev]</span><spanclass="delimiter">: </span><spanclass="description">reverse a single-precision floating-point strided array in-place.</span>
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- <spanclass="signature">[`srev( N, x, strideX )`][@stdlib/blas/ext/base/srev]</span><spanclass="delimiter">: </span><spanclass="description">reverse a single-precision floating-point strided array in-place.</span>
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- <spanclass="signature">[`ssort2hp( N, order, x, strideX, y, strideY )`][@stdlib/blas/ext/base/ssort2hp]</span><spanclass="delimiter">: </span><spanclass="description">simultaneously sort two single-precision floating-point strided arrays based on the sort order of the first array using heapsort.</span>
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- <spanclass="signature">[`ssort2ins( N, order, x, strideX, y, strideY )`][@stdlib/blas/ext/base/ssort2ins]</span><spanclass="delimiter">: </span><spanclass="description">simultaneously sort two single-precision floating-point strided arrays based on the sort order of the first array using insertion sort.</span>
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- <spanclass="signature">[`ssort2sh( N, order, x, strideX, y, strideY )`][@stdlib/blas/ext/base/ssort2sh]</span><spanclass="delimiter">: </span><spanclass="description">simultaneously sort two single-precision floating-point strided arrays based on the sort order of the first array using Shellsort.</span>
- <spanclass="signature">[`scale( alpha, z )`][@stdlib/complex/float64/base/scale]</span><spanclass="delimiter">: </span><spanclass="description">scale a double-precision complex floating-point number by a real-valued double-precision floating-point scalar constant.</span>
Copy file name to clipboardExpand all lines: lib/node_modules/@stdlib/stats/base/README.md
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@@ -225,7 +225,7 @@ The namespace contains the following statistical functions:
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- <spanclass="signature">[`snanmax( N, x, strideX )`][@stdlib/stats/base/snanmax]</span><spanclass="delimiter">: </span><spanclass="description">calculate the maximum value of a single-precision floating-point strided array, ignoring `NaN` values.</span>
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- <spanclass="signature">[`snanmaxabs( N, x, strideX )`][@stdlib/stats/base/snanmaxabs]</span><spanclass="delimiter">: </span><spanclass="description">calculate the maximum absolute value of a single-precision floating-point strided array, ignoring `NaN` values.</span>
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- <spanclass="signature">[`snanmean( N, x, stride )`][@stdlib/stats/base/snanmean]</span><spanclass="delimiter">: </span><spanclass="description">calculate the arithmetic mean of a single-precision floating-point strided array, ignoring `NaN` values.</span>
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- <spanclass="signature">[`snanmeanors( N, x, stride )`][@stdlib/stats/base/snanmeanors]</span><spanclass="delimiter">: </span><spanclass="description">calculate the arithmetic mean of a single-precision floating-point strided array, ignoring `NaN` values and using ordinary recursive summation.</span>
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- <spanclass="signature">[`snanmeanors( N, x, strideX )`][@stdlib/stats/base/snanmeanors]</span><spanclass="delimiter">: </span><spanclass="description">calculate the arithmetic mean of a single-precision floating-point strided array, ignoring `NaN` values and using ordinary recursive summation.</span>
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- <spanclass="signature">[`snanmeanpn( N, x, stride )`][@stdlib/stats/base/snanmeanpn]</span><spanclass="delimiter">: </span><spanclass="description">calculate the arithmetic mean of a single-precision floating-point strided array, ignoring `NaN` values and using a two-pass error correction algorithm.</span>
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- <spanclass="signature">[`snanmeanwd( N, x, stride )`][@stdlib/stats/base/snanmeanwd]</span><spanclass="delimiter">: </span><spanclass="description">calculate the arithmetic mean of a single-precision floating-point strided array, ignoring `NaN` values and using Welford's algorithm.</span>
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- <spanclass="signature">[`snanmin( N, x, strideX )`][@stdlib/stats/base/snanmin]</span><spanclass="delimiter">: </span><spanclass="description">calculate the minimum value of a single-precision floating-point strided array, ignoring `NaN` values.</span>
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