You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Copy file name to clipboardExpand all lines: lib/node_modules/@stdlib/blas/base/README.md
+5-2Lines changed: 5 additions & 2 deletions
Original file line number
Diff line number
Diff line change
@@ -48,7 +48,8 @@ var o = blas;
48
48
- <spanclass="signature">[`caxpy( N, alpha, x, strideX, y, strideY )`][@stdlib/blas/base/caxpy]</span><spanclass="delimiter">: </span><spanclass="description">scale a single-precision complex floating-point vector by a single-precision complex floating-point constant and add the result to a single-precision complex floating-point vector.</span>
49
49
- <spanclass="signature">[`ccopy( N, x, strideX, y, strideY )`][@stdlib/blas/base/ccopy]</span><spanclass="delimiter">: </span><spanclass="description">copy values from one complex single-precision floating-point vector to another complex single-precision floating-point vector.</span>
50
50
- <spanclass="signature">[`cscal( N, alpha, x, strideX )`][@stdlib/blas/base/cscal]</span><spanclass="delimiter">: </span><spanclass="description">scales a single-precision complex floating-point vector by a single-precision complex floating-point constant.</span>
51
-
- <spanclass="signature">[`csrot( N, cx, strideX, cy, strideY, c, s )`][@stdlib/blas/base/csrot]</span><spanclass="delimiter">: </span><spanclass="description">applies a plane rotation.</span>
51
+
- <spanclass="signature">[`csrot( N, x, strideX, y, strideY, c, s )`][@stdlib/blas/base/csrot]</span><spanclass="delimiter">: </span><spanclass="description">apply a plane rotation.</span>
52
+
- <spanclass="signature">[`csscal( N, alpha, x, strideX )`][@stdlib/blas/base/csscal]</span><spanclass="delimiter">: </span><spanclass="description">scale a single-precision complex floating-point vector by a single-precision floating-point constant.</span>
52
53
- <spanclass="signature">[`cswap( N, x, strideX, y, strideY )`][@stdlib/blas/base/cswap]</span><spanclass="delimiter">: </span><spanclass="description">interchange two complex single-precision floating-point vectors.</span>
53
54
- <spanclass="signature">[`dasum( N, x, stride )`][@stdlib/blas/base/dasum]</span><spanclass="delimiter">: </span><spanclass="description">compute the sum of absolute values (_L1_ norm).</span>
54
55
- <spanclass="signature">[`daxpy( N, alpha, x, strideX, y, strideY )`][@stdlib/blas/base/daxpy]</span><spanclass="delimiter">: </span><spanclass="description">multiply a vector `x` by a constant `alpha` and add the result to `y`.</span>
@@ -86,7 +87,7 @@ var o = blas;
86
87
- <spanclass="signature">[`sswap( N, x, strideX, y, strideY )`][@stdlib/blas/base/sswap]</span><spanclass="delimiter">: </span><spanclass="description">interchange two single-precision floating-point vectors.</span>
87
88
- <spanclass="signature">[`zaxpy( N, alpha, x, strideX, y, strideY )`][@stdlib/blas/base/zaxpy]</span><spanclass="delimiter">: </span><spanclass="description">scale a double-precision complex floating-point vector by a double-precision complex floating-point constant and add the result to a double-precision complex floating-point vector.</span>
88
89
- <spanclass="signature">[`zcopy( N, x, strideX, y, strideY )`][@stdlib/blas/base/zcopy]</span><spanclass="delimiter">: </span><spanclass="description">copy values from one complex double-precision floating-point vector to another complex double-precision floating-point vector.</span>
89
-
- <spanclass="signature">[`zdrot( N, zx, strideX, zy, strideY, c, s )`][@stdlib/blas/base/zdrot]</span><spanclass="delimiter">: </span><spanclass="description">applies a plane rotation.</span>
90
+
- <spanclass="signature">[`zdrot( N, x, strideX, y, strideY, c, s )`][@stdlib/blas/base/zdrot]</span><spanclass="delimiter">: </span><spanclass="description">apply a plane rotation.</span>
90
91
- <spanclass="signature">[`zdscal( N, da, zx, strideZX )`][@stdlib/blas/base/zdscal]</span><spanclass="delimiter">: </span><spanclass="description">scale a double-precision complex floating-point vector by a double-precision floating-point constant.</span>
91
92
- <spanclass="signature">[`zscal( N, alpha, x, strideX )`][@stdlib/blas/base/zscal]</span><spanclass="delimiter">: </span><spanclass="description">scales a double-precision complex floating-point vector by a double-precision complex floating-point constant.</span>
92
93
- <spanclass="signature">[`zswap( N, x, strideX, y, strideY )`][@stdlib/blas/base/zswap]</span><spanclass="delimiter">: </span><spanclass="description">interchange two complex double-precision floating-point vectors.</span>
Copy file name to clipboardExpand all lines: lib/node_modules/@stdlib/complex/float32/base/README.md
+3Lines changed: 3 additions & 0 deletions
Original file line number
Diff line number
Diff line change
@@ -61,6 +61,7 @@ The namespace contains the following functions:
61
61
- <spanclass="signature">[`identity( z )`][@stdlib/complex/float32/base/identity]</span><spanclass="delimiter">: </span><spanclass="description">evaluate the identity function of a single-precision complex floating-point number.</span>
- <spanclass="signature">[`neg( z )`][@stdlib/complex/float32/base/neg]</span><spanclass="delimiter">: </span><spanclass="description">negate a single-precision complex floating-point number.</span>
64
+
- <spanclass="signature">[`scale( alpha, c )`][@stdlib/complex/float32/base/scale]</span><spanclass="delimiter">: </span><spanclass="description">scale a single-precision complex floating-point number by a real-valued single-precision floating-point scalar constant.</span>
Copy file name to clipboardExpand all lines: lib/node_modules/@stdlib/math/base/special/README.md
+1-1Lines changed: 1 addition & 1 deletion
Original file line number
Diff line number
Diff line change
@@ -326,7 +326,7 @@ var fcns = special;
326
326
- <spanclass="signature">[`sqrtpi( x )`][@stdlib/math/base/special/sqrtpi]</span><spanclass="delimiter">: </span><spanclass="description">compute the principal square root of the product of π and a positive number.</span>
327
327
- <spanclass="signature">[`tribonacci( n )`][@stdlib/math/base/special/tribonacci]</span><spanclass="delimiter">: </span><spanclass="description">compute the nth Tribonacci number.</span>
328
328
- <spanclass="signature">[`trigamma( x )`][@stdlib/math/base/special/trigamma]</span><spanclass="delimiter">: </span><spanclass="description">trigamma function.</span>
329
-
- <spanclass="signature">[`wrap( v, min, max )`][@stdlib/math/base/special/wrap]</span><spanclass="delimiter">: </span><spanclass="description">wrap a value on the half-open interval `[min,max)`.</span>
329
+
- <spanclass="signature">[`wrap( v, min, max )`][@stdlib/math/base/special/wrap]</span><spanclass="delimiter">: </span><spanclass="description">wrap a value to the half-open interval `[min,max)`.</span>
Copy file name to clipboardExpand all lines: lib/node_modules/@stdlib/stats/README.md
+11Lines changed: 11 additions & 0 deletions
Original file line number
Diff line number
Diff line change
@@ -83,6 +83,13 @@ The namespace further contains functions for computing statistics on arrays as p
83
83
84
84
<!-- <toc pattern="+(array|strided)"> -->
85
85
86
+
<divclass="namespace-toc">
87
+
88
+
- <spanclass="signature">[`array`][@stdlib/stats/array]</span><spanclass="delimiter">: </span><spanclass="description">statistical functions for arrays.</span>
89
+
- <spanclass="signature">[`strided`][@stdlib/stats/strided]</span><spanclass="delimiter">: </span><spanclass="description">statistical operations for strided arrays.</span>
90
+
91
+
</div>
92
+
86
93
<!-- </toc> -->
87
94
88
95
The `base` sub-namespace contains lower-level statistical functions, including a `dists` namespace containing functions related to a wide assortment of probability distributions.
Copy file name to clipboardExpand all lines: lib/node_modules/@stdlib/stats/array/README.md
+57Lines changed: 57 additions & 0 deletions
Original file line number
Diff line number
Diff line change
@@ -53,6 +53,27 @@ The namespace exports the following:
53
53
54
54
<!-- <toc pattern="*"> -->
55
55
56
+
<divclass="namespace-toc">
57
+
58
+
- <spanclass="signature">[`maxBy( x, clbk[, thisArg] )`][@stdlib/stats/array/max-by]</span><spanclass="delimiter">: </span><spanclass="description">calculate the maximum value of an array via a callback function.</span>
59
+
- <spanclass="signature">[`max( x )`][@stdlib/stats/array/max]</span><spanclass="delimiter">: </span><spanclass="description">calculate the maximum value of an array.</span>
60
+
- <spanclass="signature">[`maxabs( x )`][@stdlib/stats/array/maxabs]</span><spanclass="delimiter">: </span><spanclass="description">calculate the maximum absolute value of an array.</span>
61
+
- <spanclass="signature">[`maxsorted( x )`][@stdlib/stats/array/maxsorted]</span><spanclass="delimiter">: </span><spanclass="description">calculate the maximum value of a sorted array.</span>
62
+
- <spanclass="signature">[`mean( x )`][@stdlib/stats/array/mean]</span><spanclass="delimiter">: </span><spanclass="description">calculate the arithmetic mean of an array.</span>
63
+
- <spanclass="signature">[`mediansorted( x )`][@stdlib/stats/array/mediansorted]</span><spanclass="delimiter">: </span><spanclass="description">calculate the median value of a sorted array.</span>
64
+
- <spanclass="signature">[`minBy( x, clbk[, thisArg] )`][@stdlib/stats/array/min-by]</span><spanclass="delimiter">: </span><spanclass="description">calculate the minimum value of an array via a callback function.</span>
65
+
- <spanclass="signature">[`min( x )`][@stdlib/stats/array/min]</span><spanclass="delimiter">: </span><spanclass="description">calculate the minimum value of an array.</span>
66
+
- <spanclass="signature">[`minabs( x )`][@stdlib/stats/array/minabs]</span><spanclass="delimiter">: </span><spanclass="description">calculate the minimum absolute value of an array.</span>
67
+
- <spanclass="signature">[`minsorted( x )`][@stdlib/stats/array/minsorted]</span><spanclass="delimiter">: </span><spanclass="description">calculate the minimum value of a sorted array.</span>
68
+
- <spanclass="signature">[`mskmax( x, mask )`][@stdlib/stats/array/mskmax]</span><spanclass="delimiter">: </span><spanclass="description">calculate the maximum value of an array according to a mask.</span>
69
+
- <spanclass="signature">[`mskmin( x, mask )`][@stdlib/stats/array/mskmin]</span><spanclass="delimiter">: </span><spanclass="description">calculate the minimum value of an array according to a mask.</span>
70
+
- <spanclass="signature">[`mskrange( x, mask )`][@stdlib/stats/array/mskrange]</span><spanclass="delimiter">: </span><spanclass="description">calculate the range of an array according to a mask.</span>
71
+
- <spanclass="signature">[`nanmax( x )`][@stdlib/stats/array/nanmax]</span><spanclass="delimiter">: </span><spanclass="description">calculate the maximum value of an array, ignoring `NaN` values.</span>
72
+
- <spanclass="signature">[`nanmin( x )`][@stdlib/stats/array/nanmin]</span><spanclass="delimiter">: </span><spanclass="description">calculate the minimum value of an array, ignoring `NaN` values.</span>
73
+
- <spanclass="signature">[`varianceyc( x[, correction] )`][@stdlib/stats/array/varianceyc]</span><spanclass="delimiter">: </span><spanclass="description">calculate the variance of an array using a one-pass algorithm proposed by Youngs and Cramer.</span>
0 commit comments