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Copy file name to clipboardExpand all lines: README.md
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- <spanclass="signature">[`sapxsumors( N, alpha, x, strideX )`][@stdlib/blas/ext/base/sapxsumors]</span><spanclass="delimiter">: </span><spanclass="description">add a scalar constant to each single-precision floating-point strided array element and compute the sum using ordinary recursive summation.</span>
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- <spanclass="signature">[`sapxsumpw( N, alpha, x, strideX )`][@stdlib/blas/ext/base/sapxsumpw]</span><spanclass="delimiter">: </span><spanclass="description">add a scalar constant to each single-precision floating-point strided array element and compute the sum using pairwise summation.</span>
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- <spanclass="signature">[`sasumpw( N, x, strideX )`][@stdlib/blas/ext/base/sasumpw]</span><spanclass="delimiter">: </span><spanclass="description">calculate the sum of absolute values (_L1_ norm) of single-precision floating-point strided array elements using pairwise summation.</span>
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- <spanclass="signature">[`scartesianSquare( order, N, x, strideX, out, LDO )`][@stdlib/blas/ext/base/scartesian-square]</span><spanclass="delimiter">: </span><spanclass="description">compute the Cartesian square for a single-precision floating-point strided array.</span>
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- <spanclass="signature">[`scircshift( N, k, x, strideX )`][@stdlib/blas/ext/base/scircshift]</span><spanclass="delimiter">: </span><spanclass="description">circularly shift the elements of a single-precision floating-point strided array by a specified number of positions.</span>
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- <spanclass="signature">[`scusum( N, sum, x, strideX, y, strideY )`][@stdlib/blas/ext/base/scusum]</span><spanclass="delimiter">: </span><spanclass="description">calculate the cumulative sum of single-precision floating-point strided array elements.</span>
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- <spanclass="signature">[`scusumkbn( N, sum, x, strideX, y, strideY )`][@stdlib/blas/ext/base/scusumkbn]</span><spanclass="delimiter">: </span><spanclass="description">calculate the cumulative sum of single-precision floating-point strided array elements using an improved Kahan–Babuška algorithm.</span>
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