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Copy file name to clipboardExpand all lines: lib/node_modules/@stdlib/blas/base/ndarray/README.md
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@@ -46,10 +46,12 @@ The namespace exposes the following APIs:
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<divclass="namespace-toc">
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- <spanclass="signature">[`dasum( arrays )`][@stdlib/blas/base/ndarray/dasum]</span><spanclass="delimiter">: </span><spanclass="description">calculate the sum of absolute values for all elements in a one-dimensional double-precision floating-point ndarray.</span>
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- <spanclass="signature">[`daxpy( arrays )`][@stdlib/blas/base/ndarray/daxpy]</span><spanclass="delimiter">: </span><spanclass="description">multiply a one-dimensional double-precision floating-point ndarray `x` by a constant `alpha` and add the result to a one-dimensional double-precision floating-point ndarray `y`.</span>
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- <spanclass="signature">[`ddot( arrays )`][@stdlib/blas/base/ndarray/ddot]</span><spanclass="delimiter">: </span><spanclass="description">calculate the dot product of two one-dimensional double-precision floating-point ndarrays.</span>
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- <spanclass="signature">[`gasum( arrays )`][@stdlib/blas/base/ndarray/gasum]</span><spanclass="delimiter">: </span><spanclass="description">calculate the sum of absolute values for all elements in a one-dimensional ndarray.</span>
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- <spanclass="signature">[`gdot( arrays )`][@stdlib/blas/base/ndarray/gdot]</span><spanclass="delimiter">: </span><spanclass="description">calculate the dot product of two one-dimensional ndarrays.</span>
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- <spanclass="signature">[`sasum( arrays )`][@stdlib/blas/base/ndarray/sasum]</span><spanclass="delimiter">: </span><spanclass="description">calculate the sum of absolute values for all elements in a one-dimensional single-precision floating-point ndarray.</span>
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- <spanclass="signature">[`saxpy( arrays )`][@stdlib/blas/base/ndarray/saxpy]</span><spanclass="delimiter">: </span><spanclass="description">multiply a one-dimensional single-precision floating-point ndarray `x` by a constant `alpha` and add the result to a one-dimensional single-precision floating-point ndarray `y`.</span>
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- <spanclass="signature">[`sdot( arrays )`][@stdlib/blas/base/ndarray/sdot]</span><spanclass="delimiter">: </span><spanclass="description">calculate the dot product of two one-dimensional single-precision floating-point ndarrays.</span>
Copy file name to clipboardExpand all lines: lib/node_modules/@stdlib/blas/ext/base/README.md
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@@ -155,6 +155,7 @@ var o = ns;
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- <spanclass="signature">[`gsumkbn2( N, x, strideX )`][@stdlib/blas/ext/base/gsumkbn2]</span><spanclass="delimiter">: </span><spanclass="description">calculate the sum of strided array elements using a second-order iterative Kahan–Babuška algorithm.</span>
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- <spanclass="signature">[`gsumors( N, x, strideX )`][@stdlib/blas/ext/base/gsumors]</span><spanclass="delimiter">: </span><spanclass="description">calculate the sum of strided array elements using ordinary recursive summation.</span>
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- <spanclass="signature">[`gsumpw( N, x, strideX )`][@stdlib/blas/ext/base/gsumpw]</span><spanclass="delimiter">: </span><spanclass="description">calculate the sum of strided array elements using pairwise summation.</span>
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- <spanclass="signature">[`gvander( order, mode, M, N, x, strideX, out, ldo )`][@stdlib/blas/ext/base/gvander]</span><spanclass="delimiter">: </span><spanclass="description">generate a Vandermonde matrix.</span>
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- <spanclass="signature">[`gzeroTo( N, x, strideX )`][@stdlib/blas/ext/base/gzero-to]</span><spanclass="delimiter">: </span><spanclass="description">fill a strided array with linearly spaced numeric elements which increment by `1` starting from zero.</span>
- <spanclass="signature">[`sapx( N, alpha, x, strideX )`][@stdlib/blas/ext/base/sapx]</span><spanclass="delimiter">: </span><spanclass="description">add a scalar constant to each element in a single-precision floating-point strided array.</span>
- <spanclass="signature">[`reverseDimension( x, dim, writable )`][@stdlib/ndarray/base/reverse-dimension]</span><spanclass="delimiter">: </span><spanclass="description">return a view of an input ndarray in which the order of elements along a specified dimension is reversed.</span>
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- <spanclass="signature">[`reverse( x, writable )`][@stdlib/ndarray/base/reverse]</span><spanclass="delimiter">: </span><spanclass="description">return a view of an input ndarray in which the order of elements along each dimension is reversed.</span>
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- <spanclass="signature">[`rotr90( x, k, writable )`][@stdlib/ndarray/base/rotr90]</span><spanclass="delimiter">: </span><spanclass="description">rotate a matrix (or a stack of matrices) 90 degrees clockwise.</span>
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- <spanclass="signature">[`serializeMetaData( x )`][@stdlib/ndarray/base/serialize-meta-data]</span><spanclass="delimiter">: </span><spanclass="description">serialize ndarray meta data.</span>
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- <spanclass="signature">[`shape( x, copy )`][@stdlib/ndarray/base/shape]</span><spanclass="delimiter">: </span><spanclass="description">return the shape of a provided ndarray.</span>
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- <spanclass="signature">[`shape2strides( shape, order )`][@stdlib/ndarray/base/shape2strides]</span><spanclass="delimiter">: </span><spanclass="description">generate a stride array from an array shape.</span>
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