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Copy file name to clipboardExpand all lines: lib/node_modules/@stdlib/blas/ext/base/README.md
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@@ -44,6 +44,7 @@ var o = ns;
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<divclass="namespace-toc">
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- <spanclass="signature">[`cfill( N, alpha, x, strideX )`][@stdlib/blas/ext/base/cfill]</span><spanclass="delimiter">: </span><spanclass="description">fill a single-precision complex floating-point strided array with a specified scalar constant.</span>
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- <spanclass="signature">[`cindexOfRow( order, M, N, A, LDA, x, strideX, workspace, strideW )`][@stdlib/blas/ext/base/cindex-of-row]</span><spanclass="delimiter">: </span><spanclass="description">return the index of the first row in a single-precision complex floating-point input matrix which has the same elements as a provided search vector.</span>
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- <spanclass="signature">[`csum( N, x, strideX )`][@stdlib/blas/ext/base/csum]</span><spanclass="delimiter">: </span><spanclass="description">calculate the sum of single-precision complex floating-point strided array elements.</span>
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- <spanclass="signature">[`csumkbn( N, x, strideX )`][@stdlib/blas/ext/base/csumkbn]</span><spanclass="delimiter">: </span><spanclass="description">calculate the sum of single-precision complex floating-point strided array elements using an improved Kahan–Babuška algorithm.</span>
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- <spanclass="signature">[`czeroTo( N, x, strideX )`][@stdlib/blas/ext/base/czero-to]</span><spanclass="delimiter">: </span><spanclass="description">fill a single-precision complex floating-point strided array with linearly spaced numeric elements which increment by `1` starting from zero.</span>
@@ -138,6 +139,7 @@ var o = ns;
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- <spanclass="signature">[`gnansumkbn2( N, x, strideX )`][@stdlib/blas/ext/base/gnansumkbn2]</span><spanclass="delimiter">: </span><spanclass="description">calculate the sum of strided array elements, ignoring `NaN` values and using a second-order iterative Kahan–Babuška algorithm.</span>
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- <spanclass="signature">[`gnansumors( N, x, strideX )`][@stdlib/blas/ext/base/gnansumors]</span><spanclass="delimiter">: </span><spanclass="description">calculate the sum of strided array elements, ignoring `NaN` values and using ordinary recursive summation.</span>
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- <spanclass="signature">[`gnansumpw( N, x, strideX )`][@stdlib/blas/ext/base/gnansumpw]</span><spanclass="delimiter">: </span><spanclass="description">calculate the sum of strided array elements, ignoring `NaN` values and using pairwise summation.</span>
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- <spanclass="signature">[`goneTo( N, x, strideX )`][@stdlib/blas/ext/base/gone-to]</span><spanclass="delimiter">: </span><spanclass="description">fill a strided array with linearly spaced numeric elements which increment by `1` starting from one.</span>
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- <spanclass="signature">[`grev( N, x, strideX )`][@stdlib/blas/ext/base/grev]</span><spanclass="delimiter">: </span><spanclass="description">reverse a strided array in-place.</span>
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- <spanclass="signature">[`gsort( N, order, x, strideX )`][@stdlib/blas/ext/base/gsort]</span><spanclass="delimiter">: </span><spanclass="description">sort a strided array.</span>
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- <spanclass="signature">[`gsort2hp( N, order, x, strideX, y, strideY )`][@stdlib/blas/ext/base/gsort2hp]</span><spanclass="delimiter">: </span><spanclass="description">simultaneously sort two strided arrays based on the sort order of the first array using heapsort.</span>
@@ -199,6 +201,7 @@ var o = ns;
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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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- <spanclass="signature">[`zfill( N, alpha, x, strideX )`][@stdlib/blas/ext/base/zfill]</span><spanclass="delimiter">: </span><spanclass="description">fill a double-precision complex floating-point strided array with a specified scalar constant.</span>
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- <spanclass="signature">[`zindexOfRow( order, M, N, A, LDA, x, strideX, workspace, strideW )`][@stdlib/blas/ext/base/zindex-of-row]</span><spanclass="delimiter">: </span><spanclass="description">return the index of the first row in a double-precision complex floating-point input matrix which has the same elements as a provided search vector.</span>
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- <spanclass="signature">[`zoneTo( N, x, strideX )`][@stdlib/blas/ext/base/zone-to]</span><spanclass="delimiter">: </span><spanclass="description">fill a double-precision complex floating-point strided array with linearly spaced numeric elements which increment by `1` starting from one.</span>
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- <spanclass="signature">[`zsum( N, x, strideX )`][@stdlib/blas/ext/base/zsum]</span><spanclass="delimiter">: </span><spanclass="description">calculate the sum of double-precision complex floating-point strided array elements.</span>
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- <spanclass="signature">[`zsumkbn( N, x, strideX )`][@stdlib/blas/ext/base/zsumkbn]</span><spanclass="delimiter">: </span><spanclass="description">calculate the sum of double-precision complex floating-point strided array elements using an improved Kahan–Babuška algorithm.</span>
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- <spanclass="signature">[`zzeroTo( N, x, strideX )`][@stdlib/blas/ext/base/zzero-to]</span><spanclass="delimiter">: </span><spanclass="description">fill a double-precision complex floating-point strided array with linearly spaced numeric elements which increment by `1` starting from zero.</span>
Copy file name to clipboardExpand all lines: lib/node_modules/@stdlib/blas/ext/base/ndarray/README.md
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@@ -62,6 +62,7 @@ The namespace exposes the following APIs:
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- <spanclass="signature">[`dnansumkbn2( arrays )`][@stdlib/blas/ext/base/ndarray/dnansumkbn2]</span><spanclass="delimiter">: </span><spanclass="description">compute the sum of a one-dimensional double-precision floating-point ndarray, ignoring `NaN` values and using a second-order iterative Kahan–Babuška algorithm.</span>
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- <spanclass="signature">[`dnansumors( arrays )`][@stdlib/blas/ext/base/ndarray/dnansumors]</span><spanclass="delimiter">: </span><spanclass="description">compute the sum of a one-dimensional double-precision floating-point ndarray, ignoring `NaN` values and using ordinary recursive summation.</span>
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- <spanclass="signature">[`dnansumpw( arrays )`][@stdlib/blas/ext/base/ndarray/dnansumpw]</span><spanclass="delimiter">: </span><spanclass="description">compute the sum of a one-dimensional double-precision floating-point ndarray, ignoring `NaN` values and using pairwise summation.</span>
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- <spanclass="signature">[`doneTo( arrays )`][@stdlib/blas/ext/base/ndarray/done-to]</span><spanclass="delimiter">: </span><spanclass="description">fill a one-dimensional double-precision floating-point ndarray with linearly spaced numeric elements which increment by `1` starting from one.</span>
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- <spanclass="signature">[`dsorthp( arrays )`][@stdlib/blas/ext/base/ndarray/dsorthp]</span><spanclass="delimiter">: </span><spanclass="description">sort a one-dimensional double-precision floating-point ndarray using heapsort.</span>
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- <spanclass="signature">[`dsortins( arrays )`][@stdlib/blas/ext/base/ndarray/dsortins]</span><spanclass="delimiter">: </span><spanclass="description">sort a one-dimensional double-precision floating-point ndarray using insertion sort.</span>
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- <spanclass="signature">[`dsortsh( arrays )`][@stdlib/blas/ext/base/ndarray/dsortsh]</span><spanclass="delimiter">: </span><spanclass="description">sort a one-dimensional double-precision floating-point ndarray using Shellsort.</span>
@@ -110,6 +111,7 @@ The namespace exposes the following APIs:
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- <spanclass="signature">[`snansumkbn2( arrays )`][@stdlib/blas/ext/base/ndarray/snansumkbn2]</span><spanclass="delimiter">: </span><spanclass="description">compute the sum of a one-dimensional single-precision floating-point ndarray, ignoring `NaN` values and using a second-order iterative Kahan–Babuška algorithm.</span>
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- <spanclass="signature">[`snansumors( arrays )`][@stdlib/blas/ext/base/ndarray/snansumors]</span><spanclass="delimiter">: </span><spanclass="description">compute the sum of a one-dimensional single-precision floating-point ndarray, ignoring `NaN` values and using ordinary recursive summation.</span>
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- <spanclass="signature">[`snansumpw( arrays )`][@stdlib/blas/ext/base/ndarray/snansumpw]</span><spanclass="delimiter">: </span><spanclass="description">compute the sum of a one-dimensional single-precision floating-point ndarray, ignoring `NaN` values and using pairwise summation.</span>
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- <spanclass="signature">[`soneTo( arrays )`][@stdlib/blas/ext/base/ndarray/sone-to]</span><spanclass="delimiter">: </span><spanclass="description">fill a one-dimensional single-precision floating-point ndarray with linearly spaced numeric elements which increment by `1` starting from one.</span>
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- <spanclass="signature">[`ssorthp( arrays )`][@stdlib/blas/ext/base/ndarray/ssorthp]</span><spanclass="delimiter">: </span><spanclass="description">sort a one-dimensional single-precision floating-point ndarray using heapsort.</span>
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- <spanclass="signature">[`ssum( arrays )`][@stdlib/blas/ext/base/ndarray/ssum]</span><spanclass="delimiter">: </span><spanclass="description">compute the sum of all elements in a one-dimensional single-precision floating-point ndarray.</span>
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- <spanclass="signature">[`ssumkbn( arrays )`][@stdlib/blas/ext/base/ndarray/ssumkbn]</span><spanclass="delimiter">: </span><spanclass="description">compute the sum of all elements in a one-dimensional single-precision floating-point ndarray using an improved Kahan–Babuška algorithm.</span>
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- <spanclass="signature">[`ndarray2localeString( x[, locales[, options]] )`][@stdlib/ndarray/to-locale-string]</span><spanclass="delimiter">: </span><spanclass="description">serialize an ndarray as a locale-aware string.</span>
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- <spanclass="signature">[`toReversedDimension( x[, options] )`][@stdlib/ndarray/to-reversed-dimension]</span><spanclass="delimiter">: </span><spanclass="description">return a new ndarray where the order of elements of an input ndarray along a specified dimension is reversed.</span>
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- <spanclass="signature">[`toReversed( x )`][@stdlib/ndarray/to-reversed]</span><spanclass="delimiter">: </span><spanclass="description">return a new `ndarray` where the order of elements of an input `ndarray` is reversed along each dimension.</span>
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- <spanclass="signature">[`ndarray2string( x )`][@stdlib/ndarray/to-string]</span><spanclass="delimiter">: </span><spanclass="description">serialize an ndarray as a string.</span>
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- <spanclass="signature">[`unshift( x, ...values )`][@stdlib/ndarray/unshift]</span><spanclass="delimiter">: </span><spanclass="description">return a one-dimensional ndarray formed by prepending provided scalar values to a one-dimensional input ndarray.</span>
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- <spanclass="signature">[`vector`][@stdlib/ndarray/vector]</span><spanclass="delimiter">: </span><spanclass="description">vector constructors and associated utilities.</span>
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- <spanclass="signature">[`ndarrayWith( x, indices, value )`][@stdlib/ndarray/with]</span><spanclass="delimiter">: </span><spanclass="description">return a new ndarray with the element at a specified index replaced by a provided value.</span>
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