Jump Game Problem in DSA Java - Time & Space Complexity
We want to know how the time needed to solve the Jump Game problem changes as the input grows.
Specifically, how does the number of steps to check jumps grow with the size of the input array?
Analyze the time complexity of the following code snippet.
public boolean canJump(int[] nums) {
int maxReach = 0;
for (int i = 0; i < nums.length; i++) {
if (i > maxReach) return false;
maxReach = Math.max(maxReach, i + nums[i]);
}
return true;
}
This code checks if you can jump from the start to the end of the array by updating the farthest reachable index.
Identify the loops, recursion, array traversals that repeat.
- Primary operation: A single loop that goes through each element of the array once.
- How many times: The loop runs once for each element, so n times if the array length is n.
As the array size grows, the number of steps grows roughly the same way.
| Input Size (n) | Approx. Operations |
|---|---|
| 10 | About 10 checks |
| 100 | About 100 checks |
| 1000 | About 1000 checks |
Pattern observation: The work grows directly with the input size, so doubling the input roughly doubles the work.
Time Complexity: O(n)
This means the time to decide if you can jump to the end grows in a straight line with the size of the input array.
[X] Wrong: "Because we check jumps inside the loop, the time is more than linear, maybe quadratic."
[OK] Correct: The code only updates the farthest reachable index once per element and never rechecks previous elements, so it does not multiply work inside the loop.
Understanding this linear time solution shows you can analyze and optimize problems involving array traversal and reachability, a common skill in interviews.
"What if we used a nested loop to check all possible jumps from each position? How would the time complexity change?"
Practice
Solution
Step 1: Understand the problem statement
The Jump Game problem asks if you can start at the first index and reach the last index by jumping forward using the values at each index as maximum jump lengths.Step 2: Identify the goal
The goal is to check if reaching the last index is possible, not the number of jumps or sums.Final Answer:
If you can reach the last index starting from the first index by jumping according to array values -> Option AQuick Check:
Jump Game = Reach last index? [OK]
- Confusing reachability with minimum jumps
- Thinking problem asks for maximum jump length
- Assuming sum of jumps is required
Solution
Step 1: Determine the return type
The Jump Game problem returns true or false depending on whether the last index is reachable, so the return type should be boolean.Step 2: Check method signature correctness
The method should accept an integer array and return a boolean, matching public boolean canJump(int[] nums).Final Answer:
public boolean canJump(int[] nums) -> Option CQuick Check:
Return type boolean for reachability [OK]
- Using int return type instead of boolean
- Using void return type without returning result
- Returning String instead of boolean
int[] nums = {2, 3, 1, 1, 4};
System.out.println(canJump(nums));
public static boolean canJump(int[] nums) {
int maxReach = 0;
for (int i = 0; i < nums.length; i++) {
if (i > maxReach) return false;
maxReach = Math.max(maxReach, i + nums[i]);
}
return true;
}Solution
Step 1: Trace the loop and maxReach updates
Start with maxReach=0. At i=0, maxReach=max(0,0+2)=2. i=1 ≤ 2, maxReach=max(2,1+3)=4. i=2 ≤ 4, maxReach=max(4,2+1)=4. i=3 ≤ 4, maxReach=max(4,3+1)=4. i=4 ≤ 4, maxReach=max(4,4+4)=8.Step 2: Check if loop completes without returning false
Since i never exceeds maxReach, loop completes and returns true.Final Answer:
true -> Option DQuick Check:
maxReach covers all indices, so true [OK]
- Stopping early without updating maxReach
- Confusing maxReach with current index
- Ignoring the condition i > maxReach
public boolean canJump(int[] nums) {
int maxReach = 0;
for (int i = 0; i <= nums.length; i++) {
if (i > maxReach) return false;
maxReach = Math.max(maxReach, i + nums[i]);
}
return true;
}Solution
Step 1: Analyze the loop condition
The loop runs from i=0 to i <= nums.length, which means it tries to access nums[nums.length], causing an ArrayIndexOutOfBoundsException.Step 2: Correct the loop condition
The loop should run while i < nums.length to stay within array bounds.Final Answer:
The loop condition should be 'i < nums.length' instead of 'i <= nums.length' to avoid ArrayIndexOutOfBoundsException. -> Option AQuick Check:
Array index must be less than length [OK]
- Using <= instead of < in loop condition
- Incorrect maxReach calculation
- Wrong return type for method
nums = {3, 2, 1, 0, 4}, why does the standard greedy Jump Game algorithm return false, and what does this imply about the array?Solution
Step 1: Trace maxReach through the array
Start maxReach=0. i=0: maxReach=max(0,0+3)=3. i=1 ≤ 3: maxReach=max(3,1+2)=3. i=2 ≤ 3: maxReach=max(3,2+1)=3. i=3 ≤ 3: maxReach=max(3,3+0)=3. i=4 > 3, so return false.Step 2: Understand the implication
Index 3 has zero jump length, blocking further progress, so the last index (4) is unreachable.Final Answer:
Because index 3 has zero jump length blocking progress, making the last index unreachable -> Option BQuick Check:
Zero jump blocks path, so false [OK]
- Assuming large first element guarantees success
- Ignoring zero jump blocking
- Thinking algorithm fails on zeros always
Ready to prove it?
Pass the test and this pattern moves unknown
