Fixed doc for var/std.
diff --git a/dok/maths.dok b/dok/maths.dok
index 7b7e961..9a83e7e 100644
--- a/dok/maths.dok
+++ b/dok/maths.dok
@@ -984,17 +984,13 @@
==== [res] torch.std([res,] x, [flag] [dim]) ====
{{anchor:torch.std}}
-''y=torch.std(x)'' returns the standard deviation of the elements of
-x.
+''y=torch.std(x)'' returns the standard deviation of the elements of x.
-''torch.std(x)'' normalizes by (n-1) where n is the number of elements.
+''y=torch.std(x,dim)'' performs the std operation over the dimension dim.
-''y=torch.std(x,true)'' performs the std operation normalizing by n instead of n-1.
+''y=torch.std(x,dim,false)'' performs the std operation normalizing by n-1 (this is the default).
-''y=torch.std(x,false)'' performs the std operation normalizing by n-1.
-
-''y=torch.std(x,flag,n)'' performs the std operation over the dimension n.
-
+''y=torch.std(x,dim,true)'' performs the std operation normalizing by n instead of n-1.
==== [res] torch.sum([res,] x) ====
{{anchor:torch.sum}}
@@ -1009,13 +1005,11 @@
''y=torch.var(x)'' returns the variance of the elements of x.
-''torch.var(x)'' normalizes by (n-1) where n is the number of elements.
+''y=torch.var(x,dim)'' performs the var operation over the dimension dim.
-''y=torch.var(x,true)'' performs the var operation normalizing by n instead of n-1.
+''y=torch.var(x,dim,false)'' performs the var operation normalizing by n-1 (this is the default).
-''y=torch.var(x,false)'' performs the var operation normalizing by n-1.
-
-''y=torch.var(x,flag,n)'' performs the var operation over the dimension n.
+''y=torch.var(x,dim,true)'' performs the var operation normalizing by n instead of n-1.
===== Matrix-wide operations (tensor-wide operations) =====
{{anchor:torch.matrixwide.dok}}
