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authorPeter Elmers <peter.elmers@yahoo.com>2015-10-21 11:48:12 -0500
committerPeter Elmers <peter.elmers@yahoo.com>2015-10-21 11:49:30 -0500
commitecbd4540681a99cb83a201f3f09deaf2af3fb58f (patch)
tree69c6521482059c9a8b9fa8d936ff82e7930a1143
parent51aad2ff341b3318ab9e0d2345f4aa51ab2bbae1 (diff)
Fix a few spots where inconsistently tabs and spaces are used for alignment.
-rw-r--r--java.html.markdown6
-rw-r--r--matlab.html.markdown4
2 files changed, 5 insertions, 5 deletions
diff --git a/java.html.markdown b/java.html.markdown
index aae64ccf..efc4407b 100644
--- a/java.html.markdown
+++ b/java.html.markdown
@@ -186,9 +186,9 @@ public class LearnJava {
// operations perform as could be expected for a
// doubly-linked list.
// Maps - A set of objects that map keys to values. Map is
- // an interface and therefore cannot be instantiated.
- // The type of keys and values contained in a Map must
- // be specified upon instantiation of the implementing
+ // an interface and therefore cannot be instantiated.
+ // The type of keys and values contained in a Map must
+ // be specified upon instantiation of the implementing
// class. Each key may map to only one corresponding value,
// and each key may appear only once (no duplicates).
// HashMaps - This class uses a hashtable to implement the Map
diff --git a/matlab.html.markdown b/matlab.html.markdown
index 4d97834c..ad42d9a9 100644
--- a/matlab.html.markdown
+++ b/matlab.html.markdown
@@ -262,7 +262,7 @@ pcolor(A) % Heat-map of matrix: plot as grid of rectangles, coloured by value
contour(A) % Contour plot of matrix
mesh(A) % Plot as a mesh surface
-h = figure % Create new figure object, with handle h
+h = figure % Create new figure object, with handle h
figure(h) % Makes the figure corresponding to handle h the current figure
close(h) % close figure with handle h
close all % close all open figure windows
@@ -460,7 +460,7 @@ length % length of a vector
sort % sort in ascending order
sum % sum of elements
prod % product of elements
-mode % modal value
+mode % modal value
median % median value
mean % mean value
std % standard deviation