Jump Game Problem in DSA Javascript - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is the main goal of the Jump Game problem?

To determine if you can reach the last index of an array starting from the first index, where each element represents the maximum jump length from that position.

beginner

In the Jump Game problem, what does each element in the input array represent?

Each element represents the maximum number of steps you can jump forward from that position.

intermediate

What is a greedy approach to solve the Jump Game problem?

Keep track of the farthest reachable index while iterating through the array. If at any point the current index is beyond the farthest reachable index, return false. If you can reach or pass the last index, return true.

intermediate

Why does the greedy approach work for the Jump Game problem?

Because at each step, choosing the farthest reachable position ensures you don't miss any possible path to the end, making it efficient and correct.

beginner

What is the time complexity of the greedy solution for the Jump Game problem?

O(n), where n is the length of the input array, since it requires a single pass through the array.

In the Jump Game problem, what does a zero in the array mean?

A You can jump backward

B You cannot jump forward from that position

C You can jump any number of steps

D You must jump exactly zero steps

A zero means you cannot move forward from that position, which may block progress if you land there.

Which algorithmic approach is most efficient for solving the Jump Game problem?

A Backtracking

B Dynamic Programming with memoization

C Greedy

D Brute force

The greedy approach solves the problem in linear time by tracking the farthest reachable index.

What should you do if the current index is greater than the farthest reachable index during iteration?

A Return false

B Return true

C Continue iterating

D Restart from the beginning

If the current index is beyond the farthest reachable index, you cannot proceed further, so return false.

What is the initial value of the farthest reachable index in the greedy solution?

A Length of the array

B 1

C -1

D 0

We start at index 0, so the farthest reachable index is initially 0.

If the input array is [2,3,1,1,4], can you reach the last index?

A Yes

B No

C Only if you jump backward

D Only if you skip some elements

You can jump from index 0 to 1 (max jump 2), then from 1 to 4 (max jump 3), reaching the last index.

Explain how the greedy algorithm solves the Jump Game problem step-by-step.

Think about tracking the farthest point you can jump to as you move forward.

Describe what it means if the farthest reachable index never reaches the last index in the Jump Game problem.

Consider what stops you from moving forward in the array.

Practice

1. What does the Jump Game problem ask you to determine given an array of non-negative integers?

easy

A. If you can reach the last index starting from the first index

B. The maximum jump length from any position

C. The minimum number of jumps to reach the last index

D. The sum of all jump lengths in the array

Solution

1. Step 1: Understand the problem statement

   The Jump Game problem asks if it is possible to move from the first index to the last index by jumping according to the values in the array.

2. Step 2: Identify the goal

   The goal is to check if the last index is reachable, not the number of jumps or maximum jump length.

3. Final Answer:

   If you can reach the last index starting from the first index -> Option A

4. Quick Check:

   Jump Game = Reach last index [OK]

Hint: Focus on reachability, not jump counts or sums [OK]

Common Mistakes:

• Confusing reachability with minimum jumps
• Thinking about maximum jump length only
• Assuming sum of jumps matters

2. Which of the following is the correct syntax to check if you can jump from index i to index j in JavaScript, given an array nums?

easy

A. if (nums[i] >= j - i)

B. if (nums[j] <= i + nums[i])

C. if (j < nums[i])

D. if (j <= i + nums[i])

Solution

1. Step 1: Understand jump condition

   You can jump from index i to j if j is within the jump length from i, i.e., j ≤ i + nums[i].

2. Step 2: Match condition with options

   if (j <= i + nums[i]) correctly checks if j ≤ i + nums[i]. Other options compare wrong values or use incorrect operators.

3. Final Answer:

   if (j <= i + nums[i]) -> Option D

4. Quick Check:

   Jump condition = j ≤ i + nums[i] [OK]

Hint: Check if target index ≤ current index + jump length [OK]

Common Mistakes:

• Comparing nums[j] instead of j
• Using < instead of ≤
• Mixing indices and values incorrectly

3. What will be the output of the following JavaScript code?

function canJump(nums) {
  let maxReach = 0;
  for (let i = 0; i < nums.length; i++) {
    if (i > maxReach) return false;
    maxReach = Math.max(maxReach, i + nums[i]);
  }
  return true;
}

console.log(canJump([2,3,1,1,4]));
console.log(canJump([3,2,1,0,4]));

medium

A. true false

B. true true

C. false true

D. false false

Solution

1. Step 1: Trace first input [2,3,1,1,4]

   maxReach updates as: i=0 maxReach=2, i=1 maxReach=4, i=2 maxReach=4, i=3 maxReach=4, i=4 maxReach=8. No i > maxReach, so returns true.

2. Step 2: Trace second input [3,2,1,0,4]

   maxReach updates: i=0 maxReach=3, i=1 maxReach=3, i=2 maxReach=3, i=3 maxReach=3, i=4 i=4 > maxReach=3 triggers return false.

3. Final Answer:

   true false -> Option A

4. Quick Check:

   First array reachable, second not [OK]

Hint: Track max reachable index; fail if current index exceeds it [OK]

Common Mistakes:

• Not updating maxReach correctly
• Returning true too early
• Ignoring the condition i > maxReach

4. Identify the bug in the following code that attempts to solve the Jump Game problem:

function canJump(nums) {
  let maxReach = 0;
  for (let i = 0; i <= nums.length; i++) {
    if (i > maxReach) return false;
    maxReach = Math.max(maxReach, i + nums[i]);
  }
  return true;
}

medium

A. maxReach should be initialized to 1, not 0

B. The loop condition should be i < nums.length, not i <= nums.length

C. The return true statement should be inside the loop

D. The comparison should be i >= maxReach instead of i > maxReach

Solution

1. Step 1: Analyze loop boundary

   The loop runs from i = 0 to i <= nums.length, which means it accesses nums[nums.length], causing undefined access.

2. Step 2: Correct loop condition

   The loop should run while i < nums.length to avoid out-of-bounds errors.

3. Final Answer:

   The loop condition should be i < nums.length, not i <= nums.length -> Option B

4. Quick Check:

   Loop boundary off by one error [OK]

Hint: Check array indices carefully to avoid out-of-bounds [OK]

Common Mistakes:

• Using <= instead of < in loops
• Misinitializing maxReach
• Placing return true inside loop

5. Given the array nums = [1,2,0,1,0,2,0], which of the following statements is true about reaching the last index using the Jump Game logic?

hard

A. You can reach the last index only if you jump exactly 2 steps each time

B. You can reach the last index because jumps can skip zeros if reachable

C. You cannot reach the last index because zeros block all paths

D. You can reach the last index only if you jump backward at some point

Solution

1. Step 1: Trace maxReach for [1,2,0,1,0,2,0]

   i=0, maxReach=1; i=1, maxReach=3; i=2, maxReach=3; i=3, maxReach=4; i=4, maxReach=4; i=5 >4, cannot reach index 6.

2. Step 2: Analyze blocking

   Zeros at indices 2,4 limit jumps from reachable positions (max=4), blocking paths to end.

3. Final Answer:

   You cannot reach the last index because zeros block all paths -> Option C

4. Quick Check:

   Max reach=4 < length-1=6 [OK]

Hint: Trace maxReach step-by-step; zeros block if they stall reach before end [OK]

Common Mistakes:

• Thinking zeros can always be skipped sufficiently
• Assuming jumps must be fixed length
• Believing backward jumps are allowed