Fix heading

kgryte · kgryte · commit 37d75614be09 · 2020-05-02T17:49:57.000-07:00
diff --git a/lib/node_modules/@stdlib/blas/ext/base/dasumpw/lib/dasumpw.js b/lib/node_modules/@stdlib/blas/ext/base/dasumpw/lib/dasumpw.js
@@ -29,7 +29,7 @@ var sum = require( './ndarray.js' );
 /**
 * Computes the sum of absolute values (L1 norm) of double-precision floating-point strided array elements using pairwise summation.
 *
-* ## Methods
+* ## Method
 *
 * -   This implementation uses pairwise summation, which accrues rounding error `O(log2 N)` instead of `O(N)`. The recursion depth is also `O(log2 N)`.
 *
diff --git a/lib/node_modules/@stdlib/blas/ext/base/dasumpw/lib/ndarray.js b/lib/node_modules/@stdlib/blas/ext/base/dasumpw/lib/ndarray.js
@@ -35,7 +35,7 @@ var BLOCKSIZE = 128;
 /**
 * Computes the sum of absolute values (L1 norm) of double-precision floating-point strided array elements using pairwise summation.
 *
-* ## Methods
+* ## Method
 *
 * -   This implementation uses pairwise summation, which accrues rounding error `O(log2 N)` instead of `O(N)`. The recursion depth is also `O(log2 N)`.
 *
diff --git a/lib/node_modules/@stdlib/blas/ext/base/dasumpw/src/dasumpw.c b/lib/node_modules/@stdlib/blas/ext/base/dasumpw/src/dasumpw.c
@@ -26,7 +26,7 @@
 /**
 * Computes the sum of absolute values (L1 norm) of double-precision floating-point strided array elements using pairwise summation.
 *
-* ## Methods
+* ## Method
 *
 * -   This implementation uses pairwise summation, which accrues rounding error `O(log2 N)` instead of `O(N)`. The recursion depth is also `O(log2 N)`.
 *
diff --git a/lib/node_modules/@stdlib/blas/ext/base/dnansumpw/lib/dnansumpw.js b/lib/node_modules/@stdlib/blas/ext/base/dnansumpw/lib/dnansumpw.js
@@ -29,7 +29,7 @@ var sum = require( './ndarray.js' );
 /**
 * Computes the sum of double-precision floating-point strided array elements, ignoring `NaN` values and using pairwise summation.
 *
-* ## Methods
+* ## Method
 *
 * -   This implementation uses pairwise summation, which accrues rounding error `O(log2 N)` instead of `O(N)`. The recursion depth is also `O(log2 N)`.
 *
diff --git a/lib/node_modules/@stdlib/blas/ext/base/dnansumpw/lib/ndarray.js b/lib/node_modules/@stdlib/blas/ext/base/dnansumpw/lib/ndarray.js
@@ -35,7 +35,7 @@ var BLOCKSIZE = 128;
 /**
 * Computes the sum of double-precision floating-point strided array elements, ignoring `NaN` values and using pairwise summation.
 *
-* ## Methods
+* ## Method
 *
 * -   This implementation uses pairwise summation, which accrues rounding error `O(log2 N)` instead of `O(N)`. The recursion depth is also `O(log2 N)`.
 *
diff --git a/lib/node_modules/@stdlib/blas/ext/base/dnansumpw/src/dnansumpw.c b/lib/node_modules/@stdlib/blas/ext/base/dnansumpw/src/dnansumpw.c
@@ -26,7 +26,7 @@
 /**
 * Computes the sum of double-precision floating-point strided array elements, ignoring `NaN` values and using pairwise summation.
 *
-* ## Methods
+* ## Method
 *
 * -   This implementation uses pairwise summation, which accrues rounding error `O(log2 N)` instead of `O(N)`. The recursion depth is also `O(log2 N)`.
 *
diff --git a/lib/node_modules/@stdlib/blas/ext/base/dsnansum/lib/dsnansum.js b/lib/node_modules/@stdlib/blas/ext/base/dsnansum/lib/dsnansum.js
@@ -29,7 +29,7 @@ var sum = require( './ndarray.js' );
 /**
 * Computes the sum of single-precision floating-point strided array elements, ignoring `NaN` values, using extended accumulation, and returning an extended precision result.
 *
-* ## Methods
+* ## Method
 *
 * -   This implementation uses pairwise summation, which accrues rounding error `O(log2 N)` instead of `O(N)`. The recursion depth is also `O(log2 N)`.
 *
diff --git a/lib/node_modules/@stdlib/blas/ext/base/dsnansum/lib/ndarray.js b/lib/node_modules/@stdlib/blas/ext/base/dsnansum/lib/ndarray.js
@@ -35,7 +35,7 @@ var BLOCKSIZE = 128;
 /**
 * Computes the sum of single-precision floating-point strided array elements, ignoring `NaN` values, using extended accumulation, and returning an extended precision result.
 *
-* ## Methods
+* ## Method
 *
 * -   This implementation uses pairwise summation, which accrues rounding error `O(log2 N)` instead of `O(N)`. The recursion depth is also `O(log2 N)`.
 *
diff --git a/lib/node_modules/@stdlib/blas/ext/base/dsnansum/src/dsnansum.c b/lib/node_modules/@stdlib/blas/ext/base/dsnansum/src/dsnansum.c
@@ -26,7 +26,7 @@
 /**
 * Computes the sum of single-precision floating-point strided array elements, ignoring `NaN` values, using extended accumulation, and returning an extended precision result.
 *
-* ## Methods
+* ## Method
 *
 * -   This implementation uses pairwise summation, which accrues rounding error `O(log2 N)` instead of `O(N)`. The recursion depth is also `O(log2 N)`.
 *
diff --git a/lib/node_modules/@stdlib/blas/ext/base/dssum/lib/dssum.js b/lib/node_modules/@stdlib/blas/ext/base/dssum/lib/dssum.js
@@ -28,7 +28,7 @@ var sum = require( './ndarray.js' );
 /**
 * Computes the sum of single-precision floating-point strided array elements using extended accumulation and returning an extended precision result.
 *
-* ## Methods
+* ## Method
 *
 * -   This implementation uses pairwise summation, which accrues rounding error `O(log2 N)` instead of `O(N)`. The recursion depth is also `O(log2 N)`.
 *
diff --git a/lib/node_modules/@stdlib/blas/ext/base/dssum/lib/ndarray.js b/lib/node_modules/@stdlib/blas/ext/base/dssum/lib/ndarray.js
@@ -34,7 +34,7 @@ var BLOCKSIZE = 128;
 /**
 * Computes the sum of single-precision floating-point strided array elements using extended accumulation and returning an extended precision result.
 *
-* ## Methods
+* ## Method
 *
 * -   This implementation uses pairwise summation, which accrues rounding error `O(log2 N)` instead of `O(N)`. The recursion depth is also `O(log2 N)`.
 *
diff --git a/lib/node_modules/@stdlib/blas/ext/base/dssum/src/dssum.c b/lib/node_modules/@stdlib/blas/ext/base/dssum/src/dssum.c
@@ -25,7 +25,7 @@
 /**
 * Computes the sum of single-precision floating-point strided array elements using extended accumulation and returning an extended precision result.
 *
-* ## Methods
+* ## Method
 *
 * -   This implementation uses pairwise summation, which accrues rounding error `O(log2 N)` instead of `O(N)`. The recursion depth is also `O(log2 N)`.
 *
diff --git a/lib/node_modules/@stdlib/blas/ext/base/dsumpw/lib/dsumpw.js b/lib/node_modules/@stdlib/blas/ext/base/dsumpw/lib/dsumpw.js
@@ -28,7 +28,7 @@ var sum = require( './ndarray.js' );
 /**
 * Computes the sum of double-precision floating-point strided array elements using pairwise summation.
 *
-* ## Methods
+* ## Method
 *
 * -   This implementation uses pairwise summation, which accrues rounding error `O(log2 N)` instead of `O(N)`. The recursion depth is also `O(log2 N)`.
 *
diff --git a/lib/node_modules/@stdlib/blas/ext/base/dsumpw/lib/ndarray.js b/lib/node_modules/@stdlib/blas/ext/base/dsumpw/lib/ndarray.js
@@ -34,7 +34,7 @@ var BLOCKSIZE = 128;
 /**
 * Computes the sum of double-precision floating-point strided array elements using pairwise summation.
 *
-* ## Methods
+* ## Method
 *
 * -   This implementation uses pairwise summation, which accrues rounding error `O(log2 N)` instead of `O(N)`. The recursion depth is also `O(log2 N)`.
 *
diff --git a/lib/node_modules/@stdlib/blas/ext/base/dsumpw/src/dsumpw.c b/lib/node_modules/@stdlib/blas/ext/base/dsumpw/src/dsumpw.c
@@ -25,7 +25,7 @@
 /**
 * Computes the sum of double-precision floating-point strided array elements using pairwise summation.
 *
-* ## Methods
+* ## Method
 *
 * -   This implementation uses pairwise summation, which accrues rounding error `O(log2 N)` instead of `O(N)`. The recursion depth is also `O(log2 N)`.
 *
diff --git a/lib/node_modules/@stdlib/blas/ext/base/gnansumpw/lib/gnansumpw.js b/lib/node_modules/@stdlib/blas/ext/base/gnansumpw/lib/gnansumpw.js
@@ -29,7 +29,7 @@ var sum = require( './ndarray.js' );
 /**
 * Computes the sum of strided array elements, ignoring `NaN` values and using pairwise summation.
 *
-* ## Methods
+* ## Method
 *
 * -   This implementation uses pairwise summation, which accrues rounding error `O(log2 N)` instead of `O(N)`. The recursion depth is also `O(log2 N)`.
 *
diff --git a/lib/node_modules/@stdlib/blas/ext/base/gnansumpw/lib/ndarray.js b/lib/node_modules/@stdlib/blas/ext/base/gnansumpw/lib/ndarray.js
@@ -35,7 +35,7 @@ var BLOCKSIZE = 128;
 /**
 * Computes the sum of strided array elements, ignoring `NaN` values and using pairwise summation.
 *
-* ## Methods
+* ## Method
 *
 * -   This implementation uses pairwise summation, which accrues rounding error `O(log2 N)` instead of `O(N)`. The recursion depth is also `O(log2 N)`.
 *
diff --git a/lib/node_modules/@stdlib/blas/ext/base/gsumpw/lib/gsumpw.js b/lib/node_modules/@stdlib/blas/ext/base/gsumpw/lib/gsumpw.js
@@ -28,7 +28,7 @@ var sum = require( './ndarray.js' );
 /**
 * Computes the sum of strided array elements using pairwise summation.
 *
-* ## Methods
+* ## Method
 *
 * -   This implementation uses pairwise summation, which accrues rounding error `O(log2 N)` instead of `O(N)`. The recursion depth is also `O(log2 N)`.
 *
diff --git a/lib/node_modules/@stdlib/blas/ext/base/gsumpw/lib/ndarray.js b/lib/node_modules/@stdlib/blas/ext/base/gsumpw/lib/ndarray.js
@@ -34,7 +34,7 @@ var BLOCKSIZE = 128;
 /**
 * Computes the sum of strided array elements using pairwise summation.
 *
-* ## Methods
+* ## Method
 *
 * -   This implementation uses pairwise summation, which accrues rounding error `O(log2 N)` instead of `O(N)`. The recursion depth is also `O(log2 N)`.
 *
diff --git a/lib/node_modules/@stdlib/blas/ext/base/sdsnansum/lib/ndarray.js b/lib/node_modules/@stdlib/blas/ext/base/sdsnansum/lib/ndarray.js
@@ -36,7 +36,7 @@ var BLOCKSIZE = 128;
 /**
 * Computes the sum of single-precision floating-point strided array elements, ignoring `NaN` values and using extended accumulation.
 *
-* ## Methods
+* ## Method
 *
 * -   This implementation uses pairwise summation, which accrues rounding error `O(log2 N)` instead of `O(N)`. The recursion depth is also `O(log2 N)`.
 *
diff --git a/lib/node_modules/@stdlib/blas/ext/base/sdsnansum/lib/sdsnansum.js b/lib/node_modules/@stdlib/blas/ext/base/sdsnansum/lib/sdsnansum.js
@@ -30,7 +30,7 @@ var sum = require( './ndarray.js' );
 /**
 * Computes the sum of single-precision floating-point strided array elements, ignoring `NaN` values and using extended accumulation.
 *
-* ## Methods
+* ## Method
 *
 * -   This implementation uses pairwise summation, which accrues rounding error `O(log2 N)` instead of `O(N)`. The recursion depth is also `O(log2 N)`.
 *
diff --git a/lib/node_modules/@stdlib/blas/ext/base/sdsnansum/src/sdsnansum.c b/lib/node_modules/@stdlib/blas/ext/base/sdsnansum/src/sdsnansum.c
@@ -26,7 +26,7 @@
 /**
 * Computes the sum of single-precision floating-point strided array elements, ignoring `NaN` values and using extended accumulation.
 *
-* ## Methods
+* ## Method
 *
 * -   This implementation uses pairwise summation, which accrues rounding error `O(log2 N)` instead of `O(N)`. The recursion depth is also `O(log2 N)`.
 *
diff --git a/lib/node_modules/@stdlib/blas/ext/base/sdssum/lib/ndarray.js b/lib/node_modules/@stdlib/blas/ext/base/sdssum/lib/ndarray.js
@@ -35,7 +35,7 @@ var BLOCKSIZE = 128;
 /**
 * Computes the sum of single-precision floating-point strided array elements using extended accumulation.
 *
-* ## Methods
+* ## Method
 *
 * -   This implementation uses pairwise summation, which accrues rounding error `O(log2 N)` instead of `O(N)`. The recursion depth is also `O(log2 N)`.
 *
diff --git a/lib/node_modules/@stdlib/blas/ext/base/sdssum/lib/sdssum.js b/lib/node_modules/@stdlib/blas/ext/base/sdssum/lib/sdssum.js
@@ -29,7 +29,7 @@ var sum = require( './ndarray.js' );
 /**
 * Computes the sum of single-precision floating-point strided array elements using extended accumulation.
 *
-* ## Methods
+* ## Method
 *
 * -   This implementation uses pairwise summation, which accrues rounding error `O(log2 N)` instead of `O(N)`. The recursion depth is also `O(log2 N)`.
 *
diff --git a/lib/node_modules/@stdlib/blas/ext/base/sdssum/src/sdssum.c b/lib/node_modules/@stdlib/blas/ext/base/sdssum/src/sdssum.c
@@ -25,7 +25,7 @@
 /**
 * Computes the sum of single-precision floating-point strided array elements using extended accumulation.
 *
-* ## Methods
+* ## Method
 *
 * -   This implementation uses pairwise summation, which accrues rounding error `O(log2 N)` instead of `O(N)`. The recursion depth is also `O(log2 N)`.
 *
diff --git a/lib/node_modules/@stdlib/blas/ext/base/snansumpw/lib/ndarray.js b/lib/node_modules/@stdlib/blas/ext/base/snansumpw/lib/ndarray.js
@@ -36,7 +36,7 @@ var BLOCKSIZE = 128;
 /**
 * Computes the sum of single-precision floating-point strided array elements, ignoring `NaN` values and using pairwise summation.
 *
-* ## Methods
+* ## Method
 *
 * -   This implementation uses pairwise summation, which accrues rounding error `O(log2 N)` instead of `O(N)`. The recursion depth is also `O(log2 N)`.
 *
diff --git a/lib/node_modules/@stdlib/blas/ext/base/snansumpw/lib/snansumpw.js b/lib/node_modules/@stdlib/blas/ext/base/snansumpw/lib/snansumpw.js
@@ -30,7 +30,7 @@ var sum = require( './ndarray.js' );
 /**
 * Computes the sum of single-precision floating-point strided array elements, ignoring `NaN` values and using pairwise summation.
 *
-* ## Methods
+* ## Method
 *
 * -   This implementation uses pairwise summation, which accrues rounding error `O(log2 N)` instead of `O(N)`. The recursion depth is also `O(log2 N)`.
 *
diff --git a/lib/node_modules/@stdlib/blas/ext/base/snansumpw/src/snansumpw.c b/lib/node_modules/@stdlib/blas/ext/base/snansumpw/src/snansumpw.c
@@ -26,7 +26,7 @@
 /**
 * Computes the sum of single-precision floating-point strided array elements, ignoring `NaN` values and using pairwise summation.
 *
-* ## Methods
+* ## Method
 *
 * -   This implementation uses pairwise summation, which accrues rounding error `O(log2 N)` instead of `O(N)`. The recursion depth is also `O(log2 N)`.
 *
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ssumpw/lib/ndarray.js b/lib/node_modules/@stdlib/blas/ext/base/ssumpw/lib/ndarray.js
@@ -35,7 +35,7 @@ var BLOCKSIZE = 128;
 /**
 * Computes the sum of single-precision floating-point strided array elements using pairwise summation.
 *
-* ## Methods
+* ## Method
 *
 * -   This implementation uses pairwise summation, which accrues rounding error `O(log2 N)` instead of `O(N)`. The recursion depth is also `O(log2 N)`.
 *
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ssumpw/lib/ssumpw.js b/lib/node_modules/@stdlib/blas/ext/base/ssumpw/lib/ssumpw.js
@@ -29,7 +29,7 @@ var sum = require( './ndarray.js' );
 /**
 * Computes the sum of single-precision floating-point strided array elements using pairwise summation.
 *
-* ## Methods
+* ## Method
 *
 * -   This implementation uses pairwise summation, which accrues rounding error `O(log2 N)` instead of `O(N)`. The recursion depth is also `O(log2 N)`.
 *
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ssumpw/src/ssumpw.c b/lib/node_modules/@stdlib/blas/ext/base/ssumpw/src/ssumpw.c
@@ -25,7 +25,7 @@
 /**
 * Computes the sum of single-precision floating-point strided array elements using pairwise summation.
 *
-* ## Methods
+* ## Method
 *
 * -   This implementation uses pairwise summation, which accrues rounding error `O(log2 N)` instead of `O(N)`. The recursion depth is also `O(log2 N)`.
 *
diff --git a/lib/node_modules/@stdlib/ml/incr/kmeans/lib/init_kmeansplusplus.js b/lib/node_modules/@stdlib/ml/incr/kmeans/lib/init_kmeansplusplus.js
@@ -69,7 +69,7 @@ function dapply( out, dist, npts, ndims, matrix, ci ) {
 /**
 * Initializes centroids by performing the k-means++ initialization procedure.
 *
-* ## Methods
+* ## Method
 *
 * The k-means++ algorithm for choosing initial centroids is as follows:
 *
diff --git a/lib/node_modules/@stdlib/simulate/iter/awln/lib/main.js b/lib/node_modules/@stdlib/simulate/iter/awln/lib/main.js
@@ -44,7 +44,7 @@ var DEFAULTS = require( './defaults.json' );
 /**
 * Returns an iterator which introduces additive white Laplacian noise with standard deviation `sigma`.
 *
-* ## Methods
+* ## Method
 *
 * -   The variance of a Laplace (biexponential or double-exponential) distribution is given by
 *
diff --git a/lib/node_modules/@stdlib/simulate/iter/awun/lib/main.js b/lib/node_modules/@stdlib/simulate/iter/awun/lib/main.js
@@ -44,7 +44,7 @@ var DEFAULTS = require( './defaults.json' );
 /**
 * Returns an iterator which introduces additive white uniform noise with standard deviation `sigma`.
 *
-* ## Methods
+* ## Method
 *
 * -   The variance of a uniform distribution is given by
 *
diff --git a/lib/node_modules/@stdlib/simulate/iter/periodic-sinc/lib/main.js b/lib/node_modules/@stdlib/simulate/iter/periodic-sinc/lib/main.js
@@ -34,7 +34,7 @@ var validate = require( './validate.js' );
 /**
 * Returns an iterator which generates a periodic sinc waveform.
 *
-* ## Methods
+* ## Method
 *
 * -   The periodic sinc function, or Dirichlet function, is defined as
 *
diff --git a/lib/node_modules/@stdlib/stats/lowess/lib/lowess.js b/lib/node_modules/@stdlib/stats/lowess/lib/lowess.js
@@ -48,7 +48,7 @@ function ascending( a, b ) {
 /**
 * Locally-weighted polynomial regression via the LOWESS algorithm.
 *
-* ## Methods
+* ## Method
 *
 * -   Calculates fitted values using a nearest neighbor function and robust locally weighted regression of degree one with the tricube weight function.
 *
diff --git a/lib/node_modules/@stdlib/stats/lowess/lib/lowest.js b/lib/node_modules/@stdlib/stats/lowess/lib/lowest.js
@@ -31,7 +31,7 @@ var pow = require( '@stdlib/math/base/special/pow' );
 /**
 * Calculates the fitted value `ys` for a value `xs` on the horizontal axis.
 *
-* ## Methods
+* ## Method
 *
 * -   The smoothed value for the x-axis value at the current index is computed using a (robust) locally weighted regression of degree one.  The tricube weight function is used with `h` equal to the maximum of `xs - x[ nleft ]` and `x[ nright ] - xs`.
 *
diff --git a/lib/node_modules/@stdlib/string/repeat/lib/repeat.js b/lib/node_modules/@stdlib/string/repeat/lib/repeat.js
@@ -30,7 +30,7 @@ var FLOAT64_MAX_SAFE_INTEGER = require( '@stdlib/constants/math/float64-max-safe
 /**
 * Repeats a string a specified number of times and returns the concatenated result.
 *
-* ## Methods
+* ## Method
 *
 * The algorithmic trick used in the implementation is to treat string concatenation the same as binary addition (i.e., any natural number (nonnegative integer) can be expressed as a sum of powers of two).
 *

Original file line number	Diff line number	Diff line change
`@@ -29,7 +29,7 @@ var sum = require( './ndarray.js' );`
`29`	`29`	`/**`
`30`	`30`	`* Computes the sum of absolute values (L1 norm) of double-precision floating-point strided array elements using pairwise summation.`
`31`	`31`	`*`
`32`		`-* ## Methods`
	`32`	`+* ## Method`
`33`	`33`	`*`
`34`	`34`	* - This implementation uses pairwise summation, which accrues rounding error `O(log2 N)` instead of `O(N)`. The recursion depth is also `O(log2 N)`.
`35`	`35`	`*`
Original file line number	Diff line number	Diff line change
`@@ -35,7 +35,7 @@ var BLOCKSIZE = 128;`
`35`	`35`	`/**`
`36`	`36`	`* Computes the sum of absolute values (L1 norm) of double-precision floating-point strided array elements using pairwise summation.`
`37`	`37`	`*`
`38`		`-* ## Methods`
	`38`	`+* ## Method`
`39`	`39`	`*`
`40`	`40`	* - This implementation uses pairwise summation, which accrues rounding error `O(log2 N)` instead of `O(N)`. The recursion depth is also `O(log2 N)`.
`41`	`41`	`*`
Original file line number	Diff line number	Diff line change
`@@ -26,7 +26,7 @@`
`26`	`26`	`/**`
`27`	`27`	`* Computes the sum of absolute values (L1 norm) of double-precision floating-point strided array elements using pairwise summation.`
`28`	`28`	`*`
`29`		`-* ## Methods`
	`29`	`+* ## Method`
`30`	`30`	`*`
`31`	`31`	* - This implementation uses pairwise summation, which accrues rounding error `O(log2 N)` instead of `O(N)`. The recursion depth is also `O(log2 N)`.
`32`	`32`	`*`
Original file line number	Diff line number	Diff line change
`@@ -28,7 +28,7 @@ var sum = require( './ndarray.js' );`
`28`	`28`	`/**`
`29`	`29`	`* Computes the sum of single-precision floating-point strided array elements using extended accumulation and returning an extended precision result.`
`30`	`30`	`*`
`31`		`-* ## Methods`
	`31`	`+* ## Method`
`32`	`32`	`*`
`33`	`33`	* - This implementation uses pairwise summation, which accrues rounding error `O(log2 N)` instead of `O(N)`. The recursion depth is also `O(log2 N)`.
`34`	`34`	`*`