diff --git a/lib/node_modules/@stdlib/blas/ext/base/README.md b/lib/node_modules/@stdlib/blas/ext/base/README.md index f9db3347aab1..718513d0f98f 100644 --- a/lib/node_modules/@stdlib/blas/ext/base/README.md +++ b/lib/node_modules/@stdlib/blas/ext/base/README.md @@ -110,6 +110,7 @@ var o = ns; - [`dlinspace( N, start, stop, endpoint, x, strideX )`][@stdlib/blas/ext/base/dlinspace]: fill a double-precision floating-point strided array with linearly spaced values over a specified interval. - [`dlogspace( N, base, start, stop, endpoint, x, strideX )`][@stdlib/blas/ext/base/dlogspace]: fill a double-precision floating-point strided array with logarithmically spaced values over a specified interval. - [`dminheapSiftDown( N, index, value, x, strideX )`][@stdlib/blas/ext/base/dminheap-sift-down]: sift a value down from a specified index in a double-precision floating-point strided min-heap until the heap property is restored. +- [`dminheapify( N, x, strideX )`][@stdlib/blas/ext/base/dminheapify]: convert a double-precision floating-point strided array to a min-heap. - [`dmskrev( N, x, strideX, mask, strideMask )`][@stdlib/blas/ext/base/dmskrev]: reverse a double-precision floating-point strided array in-place according to a mask. - [`dnanasum( N, x, strideX )`][@stdlib/blas/ext/base/dnanasum]: calculate the sum of absolute values (_L1_ norm) of double-precision floating-point strided array elements, ignoring `NaN` values. - [`dnanasumors( N, x, strideX )`][@stdlib/blas/ext/base/dnanasumors]: calculate the sum of absolute values (_L1_ norm) of double-precision floating-point strided array elements, ignoring `NaN` values and using ordinary recursive summation. @@ -252,12 +253,14 @@ var o = ns; - [`gsumkbn2( N, x, strideX )`][@stdlib/blas/ext/base/gsumkbn2]: calculate the sum of strided array elements using a second-order iterative Kahan–Babuška algorithm. - [`gsumors( N, x, strideX )`][@stdlib/blas/ext/base/gsumors]: calculate the sum of strided array elements using ordinary recursive summation. - [`gsumpw( N, x, strideX )`][@stdlib/blas/ext/base/gsumpw]: calculate the sum of strided array elements using pairwise summation. +- [`gtriu( order, M, N, k, A, LDA, B, LDB )`][@stdlib/blas/ext/base/gtriu]: copy the upper triangular part of a matrix `A` to another matrix `B`. - [`gunitspace( N, start, x, strideX )`][@stdlib/blas/ext/base/gunitspace]: fill a strided array with linearly spaced numeric elements which increment by `1` starting from a specified value. - [`gvander( order, mode, M, N, x, strideX, out, ldo )`][@stdlib/blas/ext/base/gvander]: generate a Vandermonde matrix. - [`gwapx( N, alpha, x, strideX, w, strideW )`][@stdlib/blas/ext/base/gwapx]: add a scalar constant to each element in a strided array `x` and assign the results to elements in a strided array `w`. - [`gwax( N, alpha, x, strideX, w, strideW )`][@stdlib/blas/ext/base/gwax]: multiply each element in a strided array `x` by a scalar constant and assign the results to elements in a strided array `w`. - [`gwaxpb( N, alpha, beta, x, strideX, w, strideW )`][@stdlib/blas/ext/base/gwaxpb]: multiply each element in a strided array `x` by a scalar constant and add a scalar constant before assigning the results to a strided array `w`. - [`gwhere( N, condition, strideC, x, strideX, y, strideY, out, strideOut )`][@stdlib/blas/ext/base/gwhere]: take elements from one of two strided arrays depending on a condition. +- [`gwxmy( N, x, strideX, y, strideY, w, strideW )`][@stdlib/blas/ext/base/gwxmy]: multiply elements of a strided array `x` by the corresponding elements of a strided array `y` and assign the results to elements in a strided array `w`. - [`gwxpy( N, x, strideX, y, strideY, w, strideW )`][@stdlib/blas/ext/base/gwxpy]: add elements of a strided array `x` to the corresponding elements of a strided array `y` and assign the results to elements in a strided array `w`. - [`gwxsa( N, alpha, x, strideX, w, strideW )`][@stdlib/blas/ext/base/gwxsa]: subtract a scalar constant from each element in a strided array `x` and assign the results to elements in a strided array `w`. - [`gwxsy( N, x, strideX, y, strideY, w, strideW )`][@stdlib/blas/ext/base/gwxsy]: subtract elements of a strided array `y` from the corresponding elements of a strided array `x` and assign the results to elements in a strided array `w`. @@ -359,6 +362,8 @@ var o = ns; - [`zapx( N, alpha, x, strideX )`][@stdlib/blas/ext/base/zapx]: add a scalar constant to each element in a double-precision complex floating-point strided array. - [`zaxpb( N, alpha, beta, x, strideX )`][@stdlib/blas/ext/base/zaxpb]: multiply each element in a double-precision complex floating-point strided array by a scalar constant and add a scalar constant to each result. - [`zaxpby( N, alpha, x, strideX, beta, y, strideY )`][@stdlib/blas/ext/base/zaxpby]: multiply a double-precision complex floating-point strided array `x` by a constant and add the result to a double-precision complex floating-point strided array `y` multiplied by a constant. +- [`zcartesianProduct( order, M, N, x, strideX, y, strideY, out, LDO )`][@stdlib/blas/ext/base/zcartesian-product]: compute the Cartesian product for two double-precision complex floating-point strided arrays. +- [`zcartesianSquare( order, N, x, strideX, out, LDO )`][@stdlib/blas/ext/base/zcartesian-square]: compute the Cartesian square for a double-precision complex floating-point strided array. - [`zdiff( N, k, x, strideX, N1, prepend, strideP, N2, append, strideA, out, strideOut, workspace, strideW )`][@stdlib/blas/ext/base/zdiff]: calculate the k-th discrete forward difference of a double-precision complex floating-point strided array. - [`zfill( N, alpha, x, strideX )`][@stdlib/blas/ext/base/zfill]: fill a double-precision complex floating-point strided array with a specified scalar constant. - [`zindexOfColumn( order, M, N, A, LDA, x, strideX, workspace, strideW )`][@stdlib/blas/ext/base/zindex-of-column]: return the index of the first column in a double-precision complex floating-point input matrix which has the same elements as a provided search vector. @@ -566,6 +571,8 @@ console.log( objectKeys( ns ) ); [@stdlib/blas/ext/base/dminheap-sift-down]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/dminheap-sift-down +[@stdlib/blas/ext/base/dminheapify]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/dminheapify + [@stdlib/blas/ext/base/dmskrev]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/dmskrev [@stdlib/blas/ext/base/dnanasum]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/dnanasum @@ -850,6 +857,8 @@ console.log( objectKeys( ns ) ); [@stdlib/blas/ext/base/gsumpw]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/gsumpw +[@stdlib/blas/ext/base/gtriu]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/gtriu + [@stdlib/blas/ext/base/gunitspace]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/gunitspace [@stdlib/blas/ext/base/gvander]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/gvander @@ -862,6 +871,8 @@ console.log( objectKeys( ns ) ); [@stdlib/blas/ext/base/gwhere]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/gwhere +[@stdlib/blas/ext/base/gwxmy]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/gwxmy + [@stdlib/blas/ext/base/gwxpy]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/gwxpy [@stdlib/blas/ext/base/gwxsa]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/gwxsa @@ -1064,6 +1075,10 @@ console.log( objectKeys( ns ) ); [@stdlib/blas/ext/base/zaxpby]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/zaxpby +[@stdlib/blas/ext/base/zcartesian-product]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/zcartesian-product + +[@stdlib/blas/ext/base/zcartesian-square]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/zcartesian-square + [@stdlib/blas/ext/base/zdiff]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/zdiff [@stdlib/blas/ext/base/zfill]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/zfill diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/README.md b/lib/node_modules/@stdlib/blas/ext/base/ndarray/README.md index 80e1b13e4500..52757a9e00f1 100644 --- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/README.md +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/README.md @@ -52,6 +52,7 @@ The namespace exposes the following APIs: - [`csum( arrays )`][@stdlib/blas/ext/base/ndarray/csum]: compute the sum of all elements in a one-dimensional single-precision complex floating-point ndarray. - [`csumkbn( arrays )`][@stdlib/blas/ext/base/ndarray/csumkbn]: compute the sum of all elements in a one-dimensional single-precision complex floating-point ndarray using an improved Kahan–Babuška algorithm. - [`cunitspace( arrays )`][@stdlib/blas/ext/base/ndarray/cunitspace]: fill a one-dimensional single-precision complex floating-point ndarray with linearly spaced numeric elements which increment by `1` starting from a specified value. +- [`cwxsa( arrays )`][@stdlib/blas/ext/base/ndarray/cwxsa]: subtract a scalar constant from each element in an input one-dimensional single-precision complex floating-point ndarray and assign the results to elements in a one-dimensional single-precision complex floating-point output ndarray. - [`cxmy( arrays )`][@stdlib/blas/ext/base/ndarray/cxmy]: multiply elements of a one-dimensional single-precision complex floating-point ndarray by the corresponding elements of a second one-dimensional single-precision complex floating-point ndarray and assign the results to the second ndarray. - [`cxpy( arrays )`][@stdlib/blas/ext/base/ndarray/cxpy]: add elements of a one-dimensional single-precision complex floating-point ndarray to the corresponding elements of a second one-dimensional single-precision complex floating-point ndarray and assign the results to the second ndarray. - [`cxsa( arrays )`][@stdlib/blas/ext/base/ndarray/cxsa]: subtract a scalar constant from each element in a one-dimensional single-precision complex floating-point ndarray. @@ -69,7 +70,9 @@ The namespace exposes the following APIs: - [`ddiff( arrays )`][@stdlib/blas/ext/base/ndarray/ddiff]: calculate the k-th discrete forward difference of a one-dimensional double-precision floating-point ndarray. - [`dfillEqual( arrays )`][@stdlib/blas/ext/base/ndarray/dfill-equal]: replace elements in a one-dimensional double-precision floating-point ndarray equal to a provided search element with a specified scalar constant. - [`dfillNotEqual( arrays )`][@stdlib/blas/ext/base/ndarray/dfill-not-equal]: replace elements in a one-dimensional double-precision floating-point ndarray not equal to a provided search element with a specified scalar constant. +- [`dfirstIndexLessThan( arrays )`][@stdlib/blas/ext/base/ndarray/dfirst-index-less-than]: return the index of the first element in a one-dimensional double-precision floating-point ndarray which is less than a corresponding element in another one-dimensional double-precision floating-point ndarray. - [`dindexOfFalsy( arrays )`][@stdlib/blas/ext/base/ndarray/dindex-of-falsy]: return the index of the first falsy element in a one-dimensional double-precision floating-point ndarray. +- [`dindexOfNotEqual( arrays )`][@stdlib/blas/ext/base/ndarray/dindex-of-not-equal]: return the first index of an element in a one-dimensional double-precision floating-point ndarray which is not equal to a specified search element. - [`dindexOf( arrays )`][@stdlib/blas/ext/base/ndarray/dindex-of]: return the first index of a search element in a one-dimensional double-precision floating-point ndarray. - [`dlastIndexOf( arrays )`][@stdlib/blas/ext/base/ndarray/dlast-index-of]: return the last index of a search element in a one-dimensional double-precision floating-point ndarray. - [`dlinspace( arrays )`][@stdlib/blas/ext/base/ndarray/dlinspace]: fill a one-dimensional double-precision floating-point ndarray with linearly spaced values over a specified interval. @@ -89,6 +92,7 @@ The namespace exposes the following APIs: - [`dsumors( arrays )`][@stdlib/blas/ext/base/ndarray/dsumors]: compute the sum of all elements in a one-dimensional double-precision floating-point ndarray using ordinary recursive summation. - [`dsumpw( arrays )`][@stdlib/blas/ext/base/ndarray/dsumpw]: compute the sum of all elements in a one-dimensional double-precision floating-point ndarray using pairwise summation. - [`dunitspace( arrays )`][@stdlib/blas/ext/base/ndarray/dunitspace]: fill a one-dimensional double-precision floating-point ndarray with linearly spaced numeric elements which increment by `1` starting from a specified value. +- [`dwxsa( arrays )`][@stdlib/blas/ext/base/ndarray/dwxsa]: subtract a scalar constant from each element in an input one-dimensional double-precision floating-point ndarray and assign the results to elements in a one-dimensional double-precision floating-point output ndarray. - [`dxdy( arrays )`][@stdlib/blas/ext/base/ndarray/dxdy]: divide elements of a one-dimensional double-precision floating-point ndarray by the corresponding elements of a second one-dimensional double-precision floating-point ndarray and assign the results to the second ndarray. - [`dxmy( arrays )`][@stdlib/blas/ext/base/ndarray/dxmy]: multiply elements of a one-dimensional double-precision floating-point ndarray by the corresponding elements of a second one-dimensional double-precision floating-point ndarray and assign the results to the second ndarray. - [`dxpy( arrays )`][@stdlib/blas/ext/base/ndarray/dxpy]: add elements of a one-dimensional double-precision floating-point ndarray to the corresponding elements of a second one-dimensional double-precision floating-point ndarray and assign the results to the second ndarray. @@ -107,6 +111,7 @@ The namespace exposes the following APIs: - [`gfillNotEqual( arrays )`][@stdlib/blas/ext/base/ndarray/gfill-not-equal]: replace elements in a one-dimensional ndarray not equal to a provided search element with a specified scalar constant. - [`gfindIndex( arrays, clbk[, thisArg] )`][@stdlib/blas/ext/base/ndarray/gfind-index]: return the index of the first element in a one-dimensional ndarray which passes a test implemented by a predicate function. - [`gfindLastIndex( arrays, clbk[, thisArg] )`][@stdlib/blas/ext/base/ndarray/gfind-last-index]: return the index of the last element in a one-dimensional ndarray which passes a test implemented by a predicate function. +- [`gfirstIndexLessThan( arrays )`][@stdlib/blas/ext/base/ndarray/gfirst-index-less-than]: return the index of the first element in a one-dimensional ndarray which is less than a corresponding element in another one-dimensional ndarray. - [`gindexOfFalsy( arrays )`][@stdlib/blas/ext/base/ndarray/gindex-of-falsy]: return the index of the first falsy element in a one-dimensional ndarray. - [`gindexOfNotEqual( arrays )`][@stdlib/blas/ext/base/ndarray/gindex-of-not-equal]: return the first index of an element in a one-dimensional ndarray which is not equal to a specified search element. - [`gindexOfTruthy( arrays )`][@stdlib/blas/ext/base/ndarray/gindex-of-truthy]: return the index of the first truthy element in a one-dimensional ndarray. @@ -129,6 +134,7 @@ The namespace exposes the following APIs: - [`gsumors( arrays )`][@stdlib/blas/ext/base/ndarray/gsumors]: compute the sum of all elements in a one-dimensional ndarray using ordinary recursive summation. - [`gsumpw( arrays )`][@stdlib/blas/ext/base/ndarray/gsumpw]: compute the sum of all elements in a one-dimensional ndarray using pairwise summation. - [`gunitspace( arrays )`][@stdlib/blas/ext/base/ndarray/gunitspace]: fill a one-dimensional ndarray with linearly spaced numeric elements which increment by `1` starting from a specified value. +- [`gwxsa( arrays )`][@stdlib/blas/ext/base/ndarray/gwxsa]: subtract a scalar constant from each element in an input one-dimensional ndarray and assign the results to elements in a one-dimensional output ndarray. - [`gxdy( arrays )`][@stdlib/blas/ext/base/ndarray/gxdy]: divide elements of a one-dimensional ndarray by the corresponding elements of a second one-dimensional ndarray and assign the results to the second ndarray. - [`gxmy( arrays )`][@stdlib/blas/ext/base/ndarray/gxmy]: multiply elements of a one-dimensional ndarray by the corresponding elements of a second one-dimensional ndarray and assign the results to the second ndarray. - [`gxpy( arrays )`][@stdlib/blas/ext/base/ndarray/gxpy]: add elements of a one-dimensional ndarray to the corresponding elements of a second one-dimensional ndarray and assign the results to the second ndarray. @@ -162,6 +168,7 @@ The namespace exposes the following APIs: - [`ssumors( arrays )`][@stdlib/blas/ext/base/ndarray/ssumors]: compute the sum of all elements in a one-dimensional single-precision floating-point ndarray using ordinary recursive summation. - [`ssumpw( arrays )`][@stdlib/blas/ext/base/ndarray/ssumpw]: compute the sum of all elements in a one-dimensional single-precision floating-point ndarray using pairwise summation. - [`sunitspace( arrays )`][@stdlib/blas/ext/base/ndarray/sunitspace]: fill a one-dimensional single-precision floating-point ndarray with linearly spaced numeric elements which increment by `1` starting from a specified value. +- [`swxsa( arrays )`][@stdlib/blas/ext/base/ndarray/swxsa]: subtract a scalar constant from each element in an input one-dimensional single-precision floating-point ndarray and assign the results to elements in a one-dimensional single-precision floating-point output ndarray. - [`sxdy( arrays )`][@stdlib/blas/ext/base/ndarray/sxdy]: divide elements of a one-dimensional single-precision floating-point ndarray by the corresponding elements of a second one-dimensional single-precision floating-point ndarray and assign the results to the second ndarray. - [`sxmy( arrays )`][@stdlib/blas/ext/base/ndarray/sxmy]: multiply elements of a one-dimensional single-precision floating-point ndarray by the corresponding elements of a second one-dimensional single-precision floating-point ndarray and assign the results to the second ndarray. - [`sxpy( arrays )`][@stdlib/blas/ext/base/ndarray/sxpy]: add elements of a one-dimensional single-precision floating-point ndarray to the corresponding elements of a second one-dimensional single-precision floating-point ndarray and assign the results to the second ndarray. @@ -175,6 +182,7 @@ The namespace exposes the following APIs: - [`zsum( arrays )`][@stdlib/blas/ext/base/ndarray/zsum]: compute the sum of all elements in a one-dimensional double-precision complex floating-point ndarray. - [`zsumkbn( arrays )`][@stdlib/blas/ext/base/ndarray/zsumkbn]: compute the sum of all elements in a one-dimensional double-precision complex floating-point ndarray using an improved Kahan–Babuška algorithm. - [`zunitspace( arrays )`][@stdlib/blas/ext/base/ndarray/zunitspace]: fill a one-dimensional double-precision complex floating-point ndarray with linearly spaced numeric elements which increment by `1` starting from a specified value. +- [`zwxsa( arrays )`][@stdlib/blas/ext/base/ndarray/zwxsa]: subtract a scalar constant from each element in an input one-dimensional double-precision complex floating-point ndarray and assign the results to elements in a one-dimensional double-precision complex floating-point output ndarray. - [`zxdy( arrays )`][@stdlib/blas/ext/base/ndarray/zxdy]: divide elements of a one-dimensional double-precision complex floating-point ndarray by the corresponding elements of a second one-dimensional double-precision complex floating-point ndarray and assign the results to the second ndarray. - [`zxmy( arrays )`][@stdlib/blas/ext/base/ndarray/zxmy]: multiply elements of a one-dimensional double-precision complex floating-point ndarray by the corresponding elements of a second one-dimensional double-precision complex floating-point ndarray and assign the results to the second ndarray. - [`zxpy( arrays )`][@stdlib/blas/ext/base/ndarray/zxpy]: add elements of a one-dimensional double-precision complex floating-point ndarray to the corresponding elements of a second one-dimensional double-precision complex floating-point ndarray and assign the results to the second ndarray. @@ -237,6 +245,8 @@ console.log( objectKeys( ns ) ); [@stdlib/blas/ext/base/ndarray/cunitspace]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/ndarray/cunitspace +[@stdlib/blas/ext/base/ndarray/cwxsa]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/ndarray/cwxsa + [@stdlib/blas/ext/base/ndarray/cxmy]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/ndarray/cxmy [@stdlib/blas/ext/base/ndarray/cxpy]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/ndarray/cxpy @@ -271,8 +281,12 @@ console.log( objectKeys( ns ) ); [@stdlib/blas/ext/base/ndarray/dfill-not-equal]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/ndarray/dfill-not-equal +[@stdlib/blas/ext/base/ndarray/dfirst-index-less-than]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/ndarray/dfirst-index-less-than + [@stdlib/blas/ext/base/ndarray/dindex-of-falsy]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/ndarray/dindex-of-falsy +[@stdlib/blas/ext/base/ndarray/dindex-of-not-equal]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/ndarray/dindex-of-not-equal + [@stdlib/blas/ext/base/ndarray/dindex-of]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/ndarray/dindex-of [@stdlib/blas/ext/base/ndarray/dlast-index-of]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/ndarray/dlast-index-of @@ -311,6 +325,8 @@ console.log( objectKeys( ns ) ); [@stdlib/blas/ext/base/ndarray/dunitspace]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/ndarray/dunitspace +[@stdlib/blas/ext/base/ndarray/dwxsa]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/ndarray/dwxsa + [@stdlib/blas/ext/base/ndarray/dxdy]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/ndarray/dxdy [@stdlib/blas/ext/base/ndarray/dxmy]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/ndarray/dxmy @@ -347,6 +363,8 @@ console.log( objectKeys( ns ) ); [@stdlib/blas/ext/base/ndarray/gfind-last-index]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/ndarray/gfind-last-index +[@stdlib/blas/ext/base/ndarray/gfirst-index-less-than]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/ndarray/gfirst-index-less-than + [@stdlib/blas/ext/base/ndarray/gindex-of-falsy]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/ndarray/gindex-of-falsy [@stdlib/blas/ext/base/ndarray/gindex-of-not-equal]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/ndarray/gindex-of-not-equal @@ -391,6 +409,8 @@ console.log( objectKeys( ns ) ); [@stdlib/blas/ext/base/ndarray/gunitspace]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/ndarray/gunitspace +[@stdlib/blas/ext/base/ndarray/gwxsa]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/ndarray/gwxsa + [@stdlib/blas/ext/base/ndarray/gxdy]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/ndarray/gxdy [@stdlib/blas/ext/base/ndarray/gxmy]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/ndarray/gxmy @@ -457,6 +477,8 @@ console.log( objectKeys( ns ) ); [@stdlib/blas/ext/base/ndarray/sunitspace]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/ndarray/sunitspace +[@stdlib/blas/ext/base/ndarray/swxsa]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/ndarray/swxsa + [@stdlib/blas/ext/base/ndarray/sxdy]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/ndarray/sxdy [@stdlib/blas/ext/base/ndarray/sxmy]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/ndarray/sxmy @@ -483,6 +505,8 @@ console.log( objectKeys( ns ) ); [@stdlib/blas/ext/base/ndarray/zunitspace]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/ndarray/zunitspace +[@stdlib/blas/ext/base/ndarray/zwxsa]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/ndarray/zwxsa + [@stdlib/blas/ext/base/ndarray/zxdy]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/ndarray/zxdy [@stdlib/blas/ext/base/ndarray/zxmy]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/ndarray/zxmy