diff --git a/Sample b/Sample
deleted file mode 100644
index ceae9f98..00000000
--- a/Sample
+++ /dev/null
@@ -1,7 +0,0 @@
-// Time Complexity :
-// Space Complexity :
-// Did this code successfully run on Leetcode :
-// Any problem you faced while coding this :
-
-
-// Your code here along with comments explaining your approach in three sentences only
diff --git a/SearchElementInUnknownSize.java b/SearchElementInUnknownSize.java
new file mode 100644
index 00000000..a557939f
--- /dev/null
+++ b/SearchElementInUnknownSize.java
@@ -0,0 +1,36 @@
+// Time Complexity : O(M + N)
+// Space Complexity : O(1)
+// Did this code successfully run on Leetcode : YES
+// Any problem you faced while coding this : NO
+
+
+// Your code here along with comments explaining your approach in three sentences only
+
+// This code finds a target in an array of unknown size by first exponentially expanding the search range until the upper bound exceeds the target.
+// Once the boundaries are established, it performs a standard Binary Search within that range to locate the specific index.
+
+class SearchElementInUnknownSize {
+    public int search(ArrayReader reader, int target) {
+        int low = 0;
+        int high = 1;
+
+        while (reader.get(high) < target) {
+            low = high;
+            high = high * 2;
+        }
+
+        while (low <= high) {
+            int mid = low + (high - low)/2;
+
+            if (reader.get(mid) == target) {
+                return mid;
+            } else if (target > reader.get(mid)) {
+                low = mid + 1;
+            } else {
+                high = mid - 1;
+            }
+        }
+
+        return -1;
+    }
+}
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diff --git a/SearchIn2DMatrix.java b/SearchIn2DMatrix.java
new file mode 100644
index 00000000..871e2fd8
--- /dev/null
+++ b/SearchIn2DMatrix.java
@@ -0,0 +1,38 @@
+// Time Complexity : O(log m*n)
+// Space Complexity : O(1)
+// Did this code successfully run on Leetcode : YES
+// Any problem you faced while coding this : NO
+
+
+// Your code here along with comments explaining your approach in three sentences only
+
+// This code performs a binary search on a 2D matrix by treating it as a single, sorted 1D array of length times n.
+// It calculates the 2D coordinates using mid / n and mid % n to check the target, efficiently finding the value in O(log(m x n)) time.
+
+public class SearchIn2DMatrix {
+    public boolean searchMatrix(int[][] matrix, int target) {
+            int m = matrix.length;
+            int n = matrix[0].length;
+
+            int low = 0, high = m*n-1;
+
+            while(low <= high){
+                int mid = low + (high - low)/2;
+
+                int r = mid / n;
+                int c = mid % n;
+
+                if(matrix[r][c] == target){
+                    return true;
+                }else if(matrix[r][c] > target){
+                    high = mid - 1;
+                }else{
+                    low = mid + 1;
+                }
+
+            }
+
+            return false;
+
+    }
+}
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diff --git a/SearchInRotatedSortedArray.java b/SearchInRotatedSortedArray.java
new file mode 100644
index 00000000..e550740c
--- /dev/null
+++ b/SearchInRotatedSortedArray.java
@@ -0,0 +1,38 @@
+// Time Complexity : O(log n)
+// Space Complexity : O(1)
+// Did this code successfully run on Leetcode : YES
+// Any problem you faced while coding this : NO
+
+
+// Your code here along with comments explaining your approach in three sentences only
+
+// This implementation performs a Binary Search by first determining which half of the array is sorted relative to the midpoint.
+// By comparing the target against the boundaries of that sorted half, it can reliably discard half of the search space in each step and finds the target.
+
+class SearchInRotatedSortedArray {
+    public int search(int[] nums, int target) {
+        int left = 0;
+        int right = nums.length - 1;
+
+        while (left <= right) {
+            int mid = left + (right - left) / 2;
+            if (target == nums[mid]) return mid;
+            if (nums[left] <= nums[mid]) {
+                if (target >= nums[left] && target < nums[mid]) {
+                    right = mid - 1;
+                } else {
+                    left = mid + 1;
+                }
+            } else {
+                if (target > nums[mid] && target <= nums[right]) {
+                    left = mid + 1;
+                } else {
+                    right = mid - 1;
+                }
+            }
+            
+        }
+
+        return -1;
+    }
+}
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