Tweaks

Author: madeline-underwood

content/learning-paths/servers-and-cloud-computing/multi-accuracy-libamath/floating-point-rep.md

@@ -6,7 +6,7 @@ weight: 2
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-##  Understanding the Floating-Point Number System and IEEE-754 Format
+##  Understanding the floating-point number system and IEEE-754 format
 
 Floating-point numbers are essential for representing real numbers in computing, but they come with limits on precision and range. 
 

content/learning-paths/servers-and-cloud-computing/multi-accuracy-libamath/ulp.md

@@ -46,7 +46,7 @@ Numbers with the same exponent have the same ULP.
 
 For normalized IEEE-754 floating-point numbers, a similar behavior is observed: the distance between two adjacent representable values — that is, ULP(x) — is a power of two that depends only on the exponent of x.
 
-### Optimized Expression
+### Optimized expression
 
 A faster, commonly used expression for ULP is: