diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/README.md b/lib/node_modules/@stdlib/blas/base/ndarray/README.md index c89d1f47157d..f12e51129db1 100644 --- a/lib/node_modules/@stdlib/blas/base/ndarray/README.md +++ b/lib/node_modules/@stdlib/blas/base/ndarray/README.md @@ -95,6 +95,7 @@ The namespace exposes the following APIs: - [`sscal( arrays )`][@stdlib/blas/base/ndarray/sscal]: multiply a one-dimensional single-precision floating-point ndarray by a scalar constant. - [`sspr( arrays )`][@stdlib/blas/base/ndarray/sspr]: perform the symmetric rank 1 operation `A = alpha*x*x^T + A` for a symmetric matrix `A` supplied in packed form. - [`sswap( arrays )`][@stdlib/blas/base/ndarray/sswap]: interchange two one-dimensional single-precision floating-point ndarrays. +- [`ssymv( arrays )`][@stdlib/blas/base/ndarray/ssymv]: perform the matrix-vector operation `y = alpha*A*x + beta*y` for a symmetric matrix `A`. - [`ssyr( arrays )`][@stdlib/blas/base/ndarray/ssyr]: perform the symmetric rank 1 operation `A = alpha*x*x^T + A`. - [`ssyr2( arrays )`][@stdlib/blas/base/ndarray/ssyr2]: perform the symmetric rank 2 operation `A = alpha*x*y^T + alpha*y*x^T + A`. - [`zaxpy( arrays )`][@stdlib/blas/base/ndarray/zaxpy]: 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`. @@ -244,6 +245,8 @@ console.log( objectKeys( ns ) ); [@stdlib/blas/base/ndarray/sswap]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/base/ndarray/sswap +[@stdlib/blas/base/ndarray/ssymv]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/base/ndarray/ssymv + [@stdlib/blas/base/ndarray/ssyr]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/base/ndarray/ssyr [@stdlib/blas/base/ndarray/ssyr2]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/base/ndarray/ssyr2 diff --git a/lib/node_modules/@stdlib/blas/ext/README.md b/lib/node_modules/@stdlib/blas/ext/README.md index e7791eca927d..5c614d809a46 100644 --- a/lib/node_modules/@stdlib/blas/ext/README.md +++ b/lib/node_modules/@stdlib/blas/ext/README.md @@ -47,6 +47,7 @@ The namespace contains the following: - [`base`][@stdlib/blas/ext/base]: base (i.e., lower-level) extensions to basic linear algebra subprograms (BLAS). - [`circshift( x, k[, options] )`][@stdlib/blas/ext/circshift]: circularly shift the elements of an input ndarray by a specified number of positions along one or more ndarray dimensions. +- [`copyWithin( x, target, start[, end][, options] )`][@stdlib/blas/ext/copy-within]: perform an in-place copy of elements within an ndarray along an ndarray dimension. - [`cusum( x[, initial][, options] )`][@stdlib/blas/ext/cusum]: compute the cumulative sum along one or more ndarray dimensions. - [`findIndex( x[, options], clbk[, thisArg] )`][@stdlib/blas/ext/find-index]: return the index of the first element along an ndarray dimension which passes a test implemented by a predicate function. - [`findLastIndex( x[, options], clbk[, thisArg] )`][@stdlib/blas/ext/find-last-index]: return the index of the last element along an ndarray dimension which passes a test implemented by a predicate function. @@ -108,6 +109,8 @@ console.log( objectKeys( ns ) ); [@stdlib/blas/ext/circshift]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/circshift +[@stdlib/blas/ext/copy-within]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/copy-within + [@stdlib/blas/ext/cusum]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/cusum [@stdlib/blas/ext/find-index]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/find-index 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 2d776fa018e9..41766748d318 100644 --- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/README.md +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/README.md @@ -51,6 +51,7 @@ The namespace exposes the following APIs: - [`cfillEqual( arrays )`][@stdlib/blas/ext/base/ndarray/cfill-equal]: replace elements in a one-dimensional single-precision complex floating-point ndarray equal to a provided search element with a specified scalar constant. - [`cindexOfTruthy( arrays )`][@stdlib/blas/ext/base/ndarray/cindex-of-truthy]: return the index of the first truthy element in a one-dimensional single-precision complex floating-point ndarray. - [`cindexOf( arrays )`][@stdlib/blas/ext/base/ndarray/cindex-of]: return the first index of a search element in a one-dimensional single-precision complex floating-point ndarray. +- [`clogspace( arrays )`][@stdlib/blas/ext/base/ndarray/clogspace]: fill a one-dimensional single-precision complex floating-point ndarray with logarithmically spaced values over a specified interval. - [`coneTo( arrays )`][@stdlib/blas/ext/base/ndarray/cone-to]: fill a one-dimensional single-precision complex floating-point ndarray with linearly spaced numeric elements which increment by `1` starting from one. - [`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. @@ -221,6 +222,7 @@ The namespace exposes the following APIs: - [`zcopyWithin( arrays )`][@stdlib/blas/ext/base/ndarray/zcopy-within]: perform an in-place copy of elements within a one-dimensional double-precision complex floating-point ndarray. - [`zindexOfTruthy( arrays )`][@stdlib/blas/ext/base/ndarray/zindex-of-truthy]: return the index of the first truthy element in a one-dimensional double-precision complex floating-point ndarray. - [`zindexOf( arrays )`][@stdlib/blas/ext/base/ndarray/zindex-of]: return the first index of a search element in a one-dimensional double-precision complex floating-point ndarray. +- [`zlogspace( arrays )`][@stdlib/blas/ext/base/ndarray/zlogspace]: fill a one-dimensional double-precision complex floating-point ndarray with logarithmically spaced values over a specified interval. - [`zoneTo( arrays )`][@stdlib/blas/ext/base/ndarray/zone-to]: fill a one-dimensional double-precision complex floating-point ndarray with linearly spaced numeric elements which increment by `1` starting from one. - [`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. @@ -288,6 +290,8 @@ console.log( objectKeys( ns ) ); [@stdlib/blas/ext/base/ndarray/cindex-of]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/ndarray/cindex-of +[@stdlib/blas/ext/base/ndarray/clogspace]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/ndarray/clogspace + [@stdlib/blas/ext/base/ndarray/cone-to]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/ndarray/cone-to [@stdlib/blas/ext/base/ndarray/csum]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/ndarray/csum @@ -628,6 +632,8 @@ console.log( objectKeys( ns ) ); [@stdlib/blas/ext/base/ndarray/zindex-of]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/ndarray/zindex-of +[@stdlib/blas/ext/base/ndarray/zlogspace]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/ndarray/zlogspace + [@stdlib/blas/ext/base/ndarray/zone-to]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/ndarray/zone-to [@stdlib/blas/ext/base/ndarray/zsum]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/ndarray/zsum diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/README.md b/lib/node_modules/@stdlib/stats/base/ndarray/README.md index 0f79b342cde2..6c2044e31cda 100644 --- a/lib/node_modules/@stdlib/stats/base/ndarray/README.md +++ b/lib/node_modules/@stdlib/stats/base/ndarray/README.md @@ -105,6 +105,11 @@ The namespace exposes the following APIs: - [`dstdevwd( arrays )`][@stdlib/stats/base/ndarray/dstdevwd]: calculate the standard deviation of a one-dimensional double-precision floating-point ndarray using Welford's algorithm. - [`dstdevyc( arrays )`][@stdlib/stats/base/ndarray/dstdevyc]: calculate the standard deviation of a one-dimensional double-precision floating-point ndarray using a one-pass algorithm proposed by Youngs and Cramer. - [`dvariance( arrays )`][@stdlib/stats/base/ndarray/dvariance]: calculate the variance of a one-dimensional double-precision floating-point ndarray. +- [`dvariancech( arrays )`][@stdlib/stats/base/ndarray/dvariancech]: calculate the variance of a one-dimensional double-precision floating-point ndarray using a one-pass trial mean algorithm. +- [`dvariancepn( arrays )`][@stdlib/stats/base/ndarray/dvariancepn]: calculate the variance of a one-dimensional double-precision floating-point ndarray using a two-pass algorithm. +- [`dvariancetk( arrays )`][@stdlib/stats/base/ndarray/dvariancetk]: calculate the variance of a one-dimensional double-precision floating-point ndarray using a one-pass textbook algorithm. +- [`dvariancewd( arrays )`][@stdlib/stats/base/ndarray/dvariancewd]: calculate the variance of a one-dimensional double-precision floating-point ndarray using Welford's algorithm. +- [`dvarianceyc( arrays )`][@stdlib/stats/base/ndarray/dvarianceyc]: calculate the variance of a one-dimensional double-precision floating-point ndarray using a one-pass algorithm proposed by Youngs and Cramer. - [`dztest( arrays )`][@stdlib/stats/base/ndarray/dztest]: compute a one-sample Z-test for a one-dimensional double-precision floating-point ndarray. - [`dztest2( arrays )`][@stdlib/stats/base/ndarray/dztest2]: compute a two-sample Z-test for two one-dimensional double-precision floating-point ndarrays. - [`maxBy( arrays, clbk[, thisArg ] )`][@stdlib/stats/base/ndarray/max-by]: compute the maximum value of a one-dimensional ndarray via a callback function. @@ -391,6 +396,16 @@ console.log( objectKeys( ns ) ); [@stdlib/stats/base/ndarray/dvariance]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/ndarray/dvariance +[@stdlib/stats/base/ndarray/dvariancech]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/ndarray/dvariancech + +[@stdlib/stats/base/ndarray/dvariancepn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/ndarray/dvariancepn + +[@stdlib/stats/base/ndarray/dvariancetk]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/ndarray/dvariancetk + +[@stdlib/stats/base/ndarray/dvariancewd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/ndarray/dvariancewd + +[@stdlib/stats/base/ndarray/dvarianceyc]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/ndarray/dvarianceyc + [@stdlib/stats/base/ndarray/dztest]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/ndarray/dztest [@stdlib/stats/base/ndarray/dztest2]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/ndarray/dztest2