feat!: update namespace TypeScript declarations

lib/node_modules/@stdlib/blas/base/docs/types/index.d.ts

@@ -127,44 +127,24 @@ interface Namespace {
 	* @example
 	* var Complex64Array = require( '@stdlib/array/complex64' );
 	* var Complex64 = require( '@stdlib/complex/float32/ctor' );
-	* var realf = require( '@stdlib/complex/float32/real' );
-	* var imagf = require( '@stdlib/complex/float32/imag' );
 	*
 	* var cx = new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
 	* var cy = new Complex64Array( [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 ] );
 	* var ca = new Complex64( 2.0, 2.0 );
 	*
 	* ns.caxpy( 2, ca, cx, 2, cy, 2 );
-	*
-	* var z = cy.get( 0 );
-	* // returns <Complex64>
-	*
-	* var re = realf( z );
-	* // returns -1.0
-	*
-	* var im = imagf( z );
-	* // returns 7.0
+	* // cy => <Complex64Array>[ -1.0, 7.0, 1.0, 1.0, -1.0, 23.0, 1.0, 1.0 ]
 	*
 	* @example
 	* var Complex64Array = require( '@stdlib/array/complex64' );
 	* var Complex64 = require( '@stdlib/complex/float32/ctor' );
-	* var realf = require( '@stdlib/complex/float32/real' );
-	* var imagf = require( '@stdlib/complex/float32/imag' );
 	*
 	* var cx = new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
 	* var cy = new Complex64Array( [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 ] );
 	* var ca = new Complex64( 2.0, 2.0 );
 	*
 	* ns.caxpy.ndarray( 3, ca, cx, 1, 1, cy, 1, 1 );
-	*
-	* var z = cy.get( 3 );
-	* // returns <Complex64>
-	*
-	* var re = realf( z );
-	* // returns -1.0
-	*
-	* var im = imagf( z );
-	* // returns 31.0
+	* // cy => <Complex64Array>[ 1.0, 1.0, -1.0, 15.0, -1.0, 23.0, -1.0, 31.0 ]
 	*/
 	caxpy: typeof caxpy;
 
@@ -210,42 +190,22 @@ interface Namespace {
 	* @example
 	* var Complex64Array = require( '@stdlib/array/complex64' );
 	* var Complex64 = require( '@stdlib/complex/float32/ctor' );
-	* var realf = require( '@stdlib/complex/float32/real' );
-	* var imagf = require( '@stdlib/complex/float32/imag' );
 	*
 	* var cx = new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
 	* var ca = new Complex64( 2.0, 2.0 );
 	*
 	* ns.cscal( 3, ca, cx, 1 );
-	*
-	* var z = cx.get( 0 );
-	* // returns <Complex64>
-	*
-	* var re = realf( z );
-	* // returns -2.0
-	*
-	* var im = imagf( z );
-	* // returns 6.0
+	* // cx => <Complex64Array>[ -2.0, 6.0, -2.0, 14.0, -2.0, 22.0 ]
 	*
 	* @example
 	* var Complex64Array = require( '@stdlib/array/complex64' );
 	* var Complex64 = require( '@stdlib/complex/float32/ctor' );
-	* var realf = require( '@stdlib/complex/float32/real' );
-	* var imagf = require( '@stdlib/complex/float32/imag' );
 	*
 	* var cx = new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
 	* var ca = new Complex64( 2.0, 2.0 );
 	*
-	* ns.cscal.ndarray( 2, ca, cx, 1, 0 );
-	*
-	* var z = cx.get( 0 );
-	* // returns <Complex64>
-	*
-	* var re = realf( z );
-	* // returns -2.0
-	*
-	* var im = imagf( z );
-	* // returns 6.0
+	* ns.cscal.ndarray( 3, ca, cx, 1, 0 );
+	* // cx => <Complex64Array>[ -2.0, 6.0, -2.0, 14.0, -2.0, 22.0 ]
 	*/
 	cscal: typeof cscal;
 

lib/node_modules/@stdlib/blas/ext/base/docs/types/index.d.ts

@@ -2147,7 +2147,7 @@ interface Namespace {
 	*
 	* @param N - number of indexed elements
 	* @param x - input array
-	* @param stride - stride length
+	* @param strideX - stride length
 	* @returns sum
 	*
 	* @example

lib/node_modules/@stdlib/stats/base/docs/types/index.d.ts

@@ -25,7 +25,6 @@ import cumaxabs = require( '@stdlib/stats/base/cumaxabs' );
 import cumin = require( '@stdlib/stats/base/cumin' );
 import cuminabs = require( '@stdlib/stats/base/cuminabs' );
 import dcumin = require( '@stdlib/stats/base/dcumin' );
-import dcuminabs = require( '@stdlib/stats/strided/dcuminabs' );
 import dists = require( '@stdlib/stats/base/dists' );
 import dmaxabs = require( '@stdlib/stats/base/dmaxabs' );
 import dmaxabssorted = require( '@stdlib/stats/base/dmaxabssorted' );
@@ -374,36 +373,6 @@ interface Namespace {
 	*/
 	dcumin: typeof dcumin;
 
-	/**
-	* Computes the cumulative minimum absolute value of double-precision floating-point strided array elements.
-	*
-	* @param N - number of indexed elements
-	* @param x - input array
-	* @param strideX - `x` stride length
-	* @param y - output array
-	* @param strideY - `y` stride length
-	* @returns output array
-	*
-	* @example
-	* var Float64Array = require( '@stdlib/array/float64' );
-	*
-	* var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );
-	* var y = new Float64Array( x.length );
-	*
-	* ns.dcuminabs( x.length, x, 1, y, 1 );
-	* // y => <Float64Array>[ 1.0, 1.0, 1.0 ]
-	*
-	* @example
-	* var Float64Array = require( '@stdlib/array/float64' );
-	*
-	* var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );
-	* var y = new Float64Array( x.length );
-	*
-	* ns.dcuminabs.ndarray( x.length, x, 1, 0, y, 1, 0 );
-	* // y => <Float64Array>[ 1.0, 1.0, 1.0 ]
-	*/
-	dcuminabs: typeof dcuminabs;
-
 	/**
 	* Base (i.e., lower-level) probability distributions.
 	*/
@@ -5474,7 +5443,7 @@ interface Namespace {
 	* @param N - number of indexed elements
 	* @param correction - degrees of freedom adjustment
 	* @param x - input array
-	* @param stride - stride length
+	* @param strideX - stride length
 	* @returns standard deviation
 	*
 	* @example