diff --git a/src/libcollections/btree/map.rs b/src/libcollections/btree/map.rs
index a061f9dcaef..dbbff61b8dd 100644
--- a/src/libcollections/btree/map.rs
+++ b/src/libcollections/btree/map.rs
@@ -45,14 +45,14 @@ use ringbuf::RingBuf;
/// searches. However, this does mean that searches will have to do *more* comparisons on average.
/// The precise number of comparisons depends on the node search strategy used. For optimal cache
/// effeciency, one could search the nodes linearly. For optimal comparisons, one could search
-/// search the node using binary search. As a compromise, one could also perform a linear search
+/// the node using binary search. As a compromise, one could also perform a linear search
/// that initially only checks every ith element for some choice of i.
///
/// Currently, our implementation simply performs naive linear search. This provides excellent
/// performance on *small* nodes of elements which are cheap to compare. However in the future we
/// would like to further explore choosing the optimal search strategy based on the choice of B,
/// and possibly other factors. Using linear search, searching for a random element is expected
-/// to take O(BlogBn) comparisons, which is generally worse than a BST. In practice,
+/// to take O(B logBn) comparisons, which is generally worse than a BST. In practice,
/// however, performance is excellent. `BTreeMap` is able to readily outperform `TreeMap` under
/// many workloads, and is competetive where it doesn't. BTreeMap also generally *scales* better
/// than TreeMap, making it more appropriate for large datasets.
@@ -68,7 +68,7 @@ use ringbuf::RingBuf;
/// it's possible to force one to occur at every single level of the tree in a single insertion or
/// deletion. In fact, a malicious or otherwise unlucky sequence of insertions and deletions can
/// force this degenerate behaviour to occur on every operation. While the total amount of work
-/// done on each operation isn't *catastrophic*, and *is* still bounded by O(BlogBn),
+/// done on each operation isn't *catastrophic*, and *is* still bounded by O(B logBn),
/// it is certainly much slower when it does.
#[deriving(Clone)]
pub struct BTreeMap {