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Copy file name to clipboardExpand all lines: lib/node_modules/@stdlib/blas/ext/base/README.md
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@@ -61,6 +61,7 @@ var o = ns;
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- <spanclass="signature">[`dfill( N, alpha, x, strideX )`][@stdlib/blas/ext/base/dfill]</span><spanclass="delimiter">: </span><spanclass="description">fill a double-precision floating-point strided array with a specified scalar constant.</span>
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- <spanclass="signature">[`dindexOf( N, searchElement, x, strideX )`][@stdlib/blas/ext/base/dindex-of]</span><spanclass="delimiter">: </span><spanclass="description">return the first index of a specified search element in a double-precision floating-point strided array.</span>
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- <spanclass="signature">[`dlastIndexOf( N, searchElement, x, strideX )`][@stdlib/blas/ext/base/dlast-index-of]</span><spanclass="delimiter">: </span><spanclass="description">return the last index of a specified search element in a double-precision floating-point strided array.</span>
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- <spanclass="signature">[`dlinspace( N, start, stop, endpoint, x, strideX )`][@stdlib/blas/ext/base/dlinspace]</span><spanclass="delimiter">: </span><spanclass="description">fill a double-precision floating-point strided array with linearly spaced values over a specified interval.</span>
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- <spanclass="signature">[`dnanasum( N, x, strideX )`][@stdlib/blas/ext/base/dnanasum]</span><spanclass="delimiter">: </span><spanclass="description">calculate the sum of absolute values (_L1_ norm) of double-precision floating-point strided array elements, ignoring `NaN` values.</span>
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- <spanclass="signature">[`dnanasumors( N, x, strideX )`][@stdlib/blas/ext/base/dnanasumors]</span><spanclass="delimiter">: </span><spanclass="description">calculate the sum of absolute values (_L1_ norm) of double-precision floating-point strided array elements, ignoring `NaN` values and using ordinary recursive summation.</span>
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- <spanclass="signature">[`dnancusumkbn( N, sum, x, strideX, y, strideY )`][@stdlib/blas/ext/base/dnancusumkbn]</span><spanclass="delimiter">: </span><spanclass="description">calculate the cumulative sum of double-precision floating-point strided array elements ignoring `NaN` values and using an improved Kahan–Babuška algorithm.</span>
@@ -155,6 +156,7 @@ var o = ns;
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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">[`sindexOf( N, searchElement, x, strideX )`][@stdlib/blas/ext/base/sindex-of]</span><spanclass="delimiter">: </span><spanclass="description">return the first index of a specified search element in a single-precision floating-point strided array.</span>
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- <spanclass="signature">[`slastIndexOf( N, searchElement, x, strideX )`][@stdlib/blas/ext/base/slast-index-of]</span><spanclass="delimiter">: </span><spanclass="description">return the last index of a specified search element in a single-precision floating-point strided array.</span>
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- <spanclass="signature">[`slinspace( N, start, stop, endpoint, x, strideX )`][@stdlib/blas/ext/base/slinspace]</span><spanclass="delimiter">: </span><spanclass="description">fill a single-precision floating-point strided array with linearly spaced values over a specified interval.</span>
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- <spanclass="signature">[`snansum( N, x, strideX )`][@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, strideX )`][@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, 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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