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authormo khan <mo@mokhan.ca>2021-10-03 16:31:56 -0600
committermo khan <mo@mokhan.ca>2021-10-03 16:31:56 -0600
commitcff508b47a1cb2eee2da5f748dadeb406861ff28 (patch)
tree89ec432dc9c855c1bc099df7485c999c28331e0a
parentb55090ddf6ca27a853c8687def4a8bbdf9115ad8 (diff)
pseudocode for binary search
-rw-r--r--0x01/README.md19
-rw-r--r--README.md2
-rw-r--r--notes.md19
3 files changed, 39 insertions, 1 deletions
diff --git a/0x01/README.md b/0x01/README.md
index 60d2bc8..da94bc4 100644
--- a/0x01/README.md
+++ b/0x01/README.md
@@ -158,6 +158,25 @@ Submit your solutions to the following exercises and problems:
iterative or recursive, for binary search. Argue that the worst case running
time of binary search is O(lg(n)).
+ `BINARY-SEARCH(A, t, s, e)` where `A` is an array and `s`, and `r` are indices into the array such that `s < e` and `t` is the target value to find.
+
+ ```plaintext
+ BINARY-SEARCH(A, t, s, e)
+ length = e - s
+ if length == 1
+ item = A[s]
+ else
+ mid = (length / 2) + s
+ item = A[mid]
+
+ if item == t
+ return mid
+ if item < t
+ return BINARY-SEARCH(A, t, s, mid-1)
+ else
+ return BINARY-SEARCH(A, t, mid+1, e)
+ ```
+
1. Exercise 3.1-1 from the textbook (5 marks)
1. Problem 3-1 from the textbook (10 marks)
1. Exercise 4.1-2 from the textbook (10 marks)
diff --git a/README.md b/README.md
index 135eaaa..f59fa3f 100644
--- a/README.md
+++ b/README.md
@@ -100,7 +100,7 @@ When you have completed this objective, you should be able to
#### Required Activities
* [X] Study Section 2.3 of the textbook.
-* [ ] Do Exercise 2.3-5 from the textbook as part of Assignment 1.
+* [X] Do Exercise 2.3-5 from the textbook as part of Assignment 1.
### Section 1.3: Asymptotics
diff --git a/notes.md b/notes.md
index eb58099..38a2d88 100644
--- a/notes.md
+++ b/notes.md
@@ -807,3 +807,22 @@ time of this recursive version of insertion sort.
remaining portion of the sequence each time. Write pseudocode, either
iterative or recursive, for binary search. Argue that the worst case running
time of binary search is O(lg(n)).
+
+`BINARY-SEARCH(A, t, s, e)` where `A` is an array and `s`, and `r` are indices into the array such that `s < e` and `t` is the target value to find.
+
+```plaintext
+BINARY-SEARCH(A, t, s, e)
+ length = e - s
+ if length == 1
+ item = A[s]
+ else
+ mid = (length / 2) + s
+ item = A[mid]
+
+ if item == t
+ return mid
+ if item < t
+ return BINARY-SEARCH(A, t, s, mid-1)
+ else
+ return BINARY-SEARCH(A, t, mid+1, e)
+```