diff --git a/Problem1.java b/Problem1.java
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index 00000000..010a7f31
--- /dev/null
+++ b/Problem1.java
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+// Time Complexity : O(m^2 * n^2) where m is the number of elements in candidates and n is the target
+// Space Complexity : O(h) where h is the height of the tree
+// 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
+
+/**
+ * Using iterative approach where we select a pivot and start the index from the pivot to get the combinations of all numbers.
+ * We are starting the iteration from the pivot because the number can be re-used again.
+ * <p>
+ * Base case 1 is when target becomes less than 0. The target number cannot be achieved using the current path so we return.
+ * Base case 2 is when target becomes 0. The target number is achieved so we add the current path to the result.
+ */
+class IterativeSolution {
+    public List<List<Integer>> combinationSum(int[] candidates, int target) {
+        List<List<Integer>> result = new ArrayList<>();
+        helper(candidates, 0, target, new ArrayList<>(), result);
+        return result;
+    }
+
+    private void helper(int[] candidates, int pivot, int target, List<Integer> path, List<List<Integer>> result) {
+        //base
+        if (target < 0)
+            return;
+        if (target == 0) {
+            result.add(new ArrayList<>(path));
+            return;
+        }
+
+        for (int i = pivot; i < candidates.length; i++) {
+            path.add(candidates[i]);
+            helper(candidates, i, target - candidates[i], path, result);
+            // backtracking
+            path.remove(path.size() - 1);
+        }
+
+    }
+}
+
+// Time Complexity : O(m^2 * n^2) where m is the number of elements in candidates and n is the target
+// Space Complexity : O(h) where h is the height of the tree
+// 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
+
+/**
+ * Using recursive approach where we do the 0 and 1 case where we do not choose or choose the current element.
+ * When we select the element, we recursively try to find the target sum. Once that recursion is complete, we backtrack the current element from the recursion.
+ * <p>
+ * Base case 1 is when the target becomes negative or we reach the end of all elements in the array. We return since target was not found
+ * Base case 2 is when the target becomes 0. We add the current path to the result.
+ */
+class RecursiveSolution {
+    public List<List<Integer>> combinationSum(int[] candidates, int target) {
+        List<List<Integer>> result = new ArrayList<>();
+        helper(candidates, 0, target, new ArrayList<>(), result);
+        return result;
+    }
+
+    private void helper(int[] candidates, int idx, int target, List<Integer> path, List<List<Integer>> result) {
+        //base
+        if (target < 0 || idx == candidates.length)
+            return;
+        if (target == 0) {
+            result.add(new ArrayList<>(path));
+            return;
+        }
+
+        // 0
+        helper(candidates, idx + 1, target, path, result);
+
+        // 1
+        path.add(candidates[idx]);
+        helper(candidates, idx, target - candidates[idx], path, result);
+
+        path.remove(path.size() - 1);
+
+    }
+}
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diff --git a/Problem2.java b/Problem2.java
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+++ b/Problem2.java
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+// Time Complexity : 4 ^ n where n is the length of nums string
+// Space Complexity : O(n)
+// 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
+
+/**
+ * We create possible strings with pivot based recursion. At each level, we apply the operators and generate the current number which will be used by next level.
+ * When we reach the end of the num string, we check if the target value matches the current value and add it to the result.
+ */
+class Solution {
+    public List<String> addOperators(String num, int target) {
+        List<String> result = new ArrayList<>();
+        helper(num, target, 0, 0l, 0l, new StringBuilder(), result);
+        return result;
+    }
+
+    private void helper(String num, int target, int pivot, long calc, long tail, StringBuilder path, List<String> result) {
+        //if all numbers are taken into consideration
+        if (pivot == num.length()) {
+            if (calc == target) {
+                result.add(path.toString());
+            }
+            return;
+        }
+
+        for (int i = pivot; i < num.length(); i++) {
+            // leading 0 needs to be ignored
+            if (num.charAt(pivot) == '0' && i != pivot)
+                return;
+            long curr = Long.parseLong(num.substring(pivot, i + 1));
+            int le = path.length();
+            // first level so the current and tail are the number itself
+            if (pivot == 0) {
+                path.append(curr);
+                helper(num, target, i + 1, curr, curr, path, result);
+                path.setLength(le);
+            } else {
+
+                // Adding to path, recurse and backtrack for all 3 actions
+                // +
+                path.append("+");
+                path.append(curr);
+                helper(num, target, i + 1, calc + curr, curr, path, result);
+                path.setLength(le);
+
+                // -
+                path.append("-");
+                path.append(curr);
+                helper(num, target, i + 1, calc - curr, -curr, path, result);
+                path.setLength(le);
+
+                // *
+                path.append("*");
+                path.append(curr);
+                helper(num, target, i + 1, calc - tail + tail * curr, tail * curr, path, result);
+                path.setLength(le);
+            }
+
+        }
+    }
+}
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