toc_md: correction of typos

Author: jvdp1

src/stdlib_experimental_quadrature.md

@@ -4,26 +4,26 @@
 
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-	* [`trapz` - integrate sampled values using trapezoidal rule](#trapz---integrate-sampled-values-using-trapezoidal-rule)
-		* [Syntax](#syntax)
-		* [Arguments](#arguments)
-		* [Return value](#return-value)
-		* [Example](#example)
-	* [`trapz_weights` - trapezoidal rule weights for given abscissas](#trapz_weights---trapezoidal-rule-weights-for-given-abscissas)
-		* [Syntax](#syntax-1)
-		* [Arguments](#arguments-1)
-		* [Return value](#return-value-1)
-		* [Example](#example-1)
+* [`trapz` - integrate sampled values using trapezoidal rule](#trapz---integrate-sampled-values-using-trapezoidal-rule)
+	* [Syntax](#syntax)
+	* [Arguments](#arguments)
+	* [Return value](#return-value)
+	* [Example](#example)
+* [`trapz_weights` - trapezoidal rule weights for given abscissas](#trapz_weights---trapezoidal-rule-weights-for-given-abscissas)
+	* [Syntax](#syntax-1)
+	* [Arguments](#arguments-1)
+	* [Return value](#return-value-1)
+	* [Example](#example-1)
 * [`simps` - integrate sampled values using Simpson's rule (to be implemented)](#simps---integrate-sampled-values-using-simpsons-rule-to-be-implemented)
-		* [Syntax](#syntax-2)
-		* [Arguments](#arguments-2)
-		* [Return value](#return-value-2)
-		* [Example](#example-2)
+	* [Syntax](#syntax-2)
+	* [Arguments](#arguments-2)
+	* [Return value](#return-value-2)
+	* [Example](#example-2)
 * [`simps_weights` - Simpson's rule weights for given abscissas (to be implemented)](#simps_weights---simpsons-rule-weights-for-given-abscissas-to-be-implemented)
-		* [Syntax](#syntax-3)
-		* [Arguments](#arguments-3)
-		* [Return value](#return-value-3)
-		* [Example](#example-3)
+	* [Syntax](#syntax-3)
+	* [Arguments](#arguments-3)
+	* [Return value](#return-value-3)
+	* [Example](#example-3)
 
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@@ -100,7 +100,7 @@ end program
 
 ```
 
-# `simps` - integrate sampled values using Simpson's rule (to be implemented)
+## `simps` - integrate sampled values using Simpson's rule (to be implemented)
 
 Returns the Simpson's rule integral of an array `y` representing discrete samples of a function. The integral is computed assuming either equidistant abscissas with spacing `dx` or arbitary abscissas `x`. 
 
@@ -134,7 +134,7 @@ If the size of `y` is two, the result is the same as if `trapz` had been called
 
 TBD
 
-# `simps_weights` - Simpson's rule weights for given abscissas (to be implemented)
+## `simps_weights` - Simpson's rule weights for given abscissas (to be implemented)
 
 Given an array of abscissas `x`, computes the array of weights `w` such that if `y` represented function values tabulated at `x`, then `sum(w*y)` produces a Simpson's rule approximation to the integral.