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Copy file name to clipboardExpand all lines: lib/node_modules/@stdlib/blas/base/README.md
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@@ -103,6 +103,7 @@ var o = blas;
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<divclass="namespace-toc">
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- <spanclass="signature">[`cgemv( order, trans, M, N, α, A, LDA, x, sx, β, y, sy )`][@stdlib/blas/base/cgemv]</span><spanclass="delimiter">: </span><spanclass="description">perform one of the matrix-vector operations `y = α*A*x + β*y` or `y = α*A^T*x + β*y` or `y = α*A^H*x + β*y`.</span>
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- <spanclass="signature">[`dgemv( order, trans, M, N, α, A, LDA, x, sx, β, y, sy )`][@stdlib/blas/base/dgemv]</span><spanclass="delimiter">: </span><spanclass="description">perform one of the matrix-vector operations `y = α*A*x + β*y` or `y = α*A^T*x + β*y`.</span>
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- <spanclass="signature">[`dger( ord, M, N, α, x, sx, y, sy, A, lda )`][@stdlib/blas/base/dger]</span><spanclass="delimiter">: </span><spanclass="description">perform the rank 1 operation `A = α*x*y^T + A`.</span>
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- <spanclass="signature">[`dspmv( order, uplo, N, α, AP, x, sx, β, y, sy )`][@stdlib/blas/base/dspmv]</span><spanclass="delimiter">: </span><spanclass="description">perform the matrix-vector operation `y = α*A*x + β*y` where `α` and `β` are scalars, `x` and `y` are `N` element vectors and, `A` is an `N` by `N` symmetric matrix supplied in packed form.</span>
Copy file name to clipboardExpand all lines: lib/node_modules/@stdlib/blas/base/ndarray/README.md
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@@ -46,6 +46,7 @@ The namespace exposes the following APIs:
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<divclass="namespace-toc">
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- <spanclass="signature">[`caxpy( arrays )`][@stdlib/blas/base/ndarray/caxpy]</span><spanclass="delimiter">: </span><spanclass="description">multiply a one-dimensional single-precision complex floating-point ndarray `x` by a constant `alpha` and add the result to a one-dimensional single-precision complex floating-point ndarray `y`.</span>
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- <spanclass="signature">[`ccopy( arrays )`][@stdlib/blas/base/ndarray/ccopy]</span><spanclass="delimiter">: </span><spanclass="description">copy values from a one-dimensional single-precision complex floating-point ndarray `x` into a one-dimensional single-precision complex floating-point ndarray `y`.</span>
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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">[`dcopy( arrays )`][@stdlib/blas/base/ndarray/dcopy]</span><spanclass="delimiter">: </span><spanclass="description">copy values from a one-dimensional double-precision floating-point ndarray `x` into a one-dimensional double-precision floating-point ndarray `y`.</span>
@@ -59,6 +60,7 @@ The namespace exposes the following APIs:
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- <spanclass="signature">[`scopy( arrays )`][@stdlib/blas/base/ndarray/scopy]</span><spanclass="delimiter">: </span><spanclass="description">copy values from a one-dimensional single-precision floating-point ndarray `x` into 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>
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- <spanclass="signature">[`zaxpy( arrays )`][@stdlib/blas/base/ndarray/zaxpy]</span><spanclass="delimiter">: </span><spanclass="description">multiply a one-dimensional double-precision complex floating-point ndarray `x` by a constant `alpha` and add the result to a one-dimensional double-precision complex floating-point ndarray `y`.</span>
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- <spanclass="signature">[`zcopy( arrays )`][@stdlib/blas/base/ndarray/zcopy]</span><spanclass="delimiter">: </span><spanclass="description">copy values from a one-dimensional double-precision complex floating-point ndarray `x` into a one-dimensional double-precision complex floating-point ndarray `y`.</span>
Copy file name to clipboardExpand all lines: lib/node_modules/@stdlib/blas/ext/base/README.md
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@@ -108,6 +108,7 @@ var o = ns;
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- <spanclass="signature">[`dsumkbn2( N, x, strideX )`][@stdlib/blas/ext/base/dsumkbn2]</span><spanclass="delimiter">: </span><spanclass="description">calculate the sum of double-precision floating-point strided array elements using a second-order iterative Kahan–Babuška algorithm.</span>
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- <spanclass="signature">[`dsumors( N, x, strideX )`][@stdlib/blas/ext/base/dsumors]</span><spanclass="delimiter">: </span><spanclass="description">calculate the sum of double-precision floating-point strided array elements using ordinary recursive summation.</span>
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- <spanclass="signature">[`dsumpw( N, x, strideX )`][@stdlib/blas/ext/base/dsumpw]</span><spanclass="delimiter">: </span><spanclass="description">calculate the sum of double-precision floating-point strided array elements using pairwise summation.</span>
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- <spanclass="signature">[`dunitspace( N, start, x, strideX )`][@stdlib/blas/ext/base/dunitspace]</span><spanclass="delimiter">: </span><spanclass="description">fill a double-precision floating-point strided array with linearly spaced numeric elements which increment by `1` starting from a specified value.</span>
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- <spanclass="signature">[`dvander( order, mode, M, N, x, strideX, out, ldo )`][@stdlib/blas/ext/base/dvander]</span><spanclass="delimiter">: </span><spanclass="description">generate a double-precision floating-point Vandermonde matrix.</span>
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- <spanclass="signature">[`dzeroTo( N, x, strideX )`][@stdlib/blas/ext/base/dzero-to]</span><spanclass="delimiter">: </span><spanclass="description">fill a double-precision floating-point strided array with linearly spaced numeric elements which increment by `1` starting from zero.</span>
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- <spanclass="signature">[`gapx( N, alpha, x, strideX )`][@stdlib/blas/ext/base/gapx]</span><spanclass="delimiter">: </span><spanclass="description">add a scalar constant to each element in a strided array.</span>
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- <spanclass="signature">[`ssumkbn2( N, x, strideX )`][@stdlib/blas/ext/base/ssumkbn2]</span><spanclass="delimiter">: </span><spanclass="description">calculate the sum of single-precision floating-point strided array elements using a second-order iterative Kahan–Babuška algorithm.</span>
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- <spanclass="signature">[`ssumors( N, x, strideX )`][@stdlib/blas/ext/base/ssumors]</span><spanclass="delimiter">: </span><spanclass="description">calculate the sum of single-precision floating-point strided array elements using ordinary recursive summation.</span>
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- <spanclass="signature">[`ssumpw( N, x, strideX )`][@stdlib/blas/ext/base/ssumpw]</span><spanclass="delimiter">: </span><spanclass="description">calculate the sum of single-precision floating-point strided array elements using pairwise summation.</span>
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- <spanclass="signature">[`sunitspace( N, start, x, strideX )`][@stdlib/blas/ext/base/sunitspace]</span><spanclass="delimiter">: </span><spanclass="description">fill a single-precision floating-point strided array with linearly spaced numeric elements which increment by `1` starting from a specified value.</span>
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- <spanclass="signature">[`svander( order, mode, M, N, x, strideX, out, ldo )`][@stdlib/blas/ext/base/svander]</span><spanclass="delimiter">: </span><spanclass="description">generate a single-precision floating-point Vandermonde matrix.</span>
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- <spanclass="signature">[`szeroTo( N, x, strideX )`][@stdlib/blas/ext/base/szero-to]</span><spanclass="delimiter">: </span><spanclass="description">fill a single-precision floating-point strided array with linearly spaced numeric elements which increment by `1` starting from zero.</span>
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- <spanclass="signature">[`wasm`][@stdlib/blas/ext/base/wasm]</span><spanclass="delimiter">: </span><spanclass="description">extensions to basic linear algebra subprograms (BLAS) compiled to WebAssembly.</span>
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