Jump Game Problem in DSA Go - 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, 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, because it requires a single pass through the array.

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

A You cannot jump forward from that position

B You can jump any number of steps from that position

C You must jump exactly one step from that position

D You can jump backward from that position

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

What should you do if your current index is greater than the farthest reachable index in the greedy approach?

A Restart from the beginning

B Return true

C Continue iterating

D Return false

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

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

A 0

B 1

C Length of array

D -1

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

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

A No

B Only if you jump backward

C Yes

D Only if you skip some elements

You can jump from index 0 to 1 or 2, then continue to the end.

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

A O(n)

B O(1)

C O(log n)

D O(n^2)

The greedy solution uses constant extra space.

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

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

Describe a scenario where you cannot reach the last index in the Jump Game problem.

Consider what happens when you get stuck at a zero with no way to jump over it.

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 by jumping within allowed steps

B. The maximum jump length you can make 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 you can move from the first index to the last index by jumping forward within the allowed steps at each position.

2. Step 2: Identify the key question

   The key question is whether the last index is reachable, not how many jumps or maximum jump length.

3. Final Answer:

   If you can reach the last index starting from the first index by jumping within allowed steps -> Option A

4. Quick Check:

   Jump Game = Reach last index? [OK]

Hint: Focus on reachability, not jump count or max jump length [OK]

Common Mistakes:

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

2. Which of the following Go code snippets correctly declares an integer slice representing jump lengths for the Jump Game?

easy

A. jumps := [2, 3, 1, 1, 4]

B. jumps := (2, 3, 1, 1, 4)

C. jumps := int{2, 3, 1, 1, 4}

D. jumps := []int{2, 3, 1, 1, 4}

Solution

1. Step 1: Recall Go slice declaration syntax

   In Go, slices are declared with []type and curly braces for values, e.g., []int{...}.

2. Step 2: Check each option

   Only jumps := []int{2, 3, 1, 1, 4} uses correct slice syntax. The others use array syntax, invalid int{}, or parentheses.

3. Final Answer:

   jumps := []int{2, 3, 1, 1, 4} -> Option D

4. Quick Check:

   Slice declaration = []int{values} [OK]

Hint: Use []int{...} to declare integer slices in Go [OK]

Common Mistakes:

• Using square brackets without type for slices
• Using parentheses instead of braces
• Confusing arrays and slices syntax

3. What is the output of the following Go code snippet for the Jump Game problem?

package main

import "fmt"

func canJump(nums []int) bool {
    maxReach := 0
    for i := 0; i < len(nums); i++ {
        if i > maxReach {
            return false
        }
        if i+nums[i] > maxReach {
            maxReach = i + nums[i]
        }
    }
    return true
}

func main() {
    nums := []int{2, 3, 1, 1, 4}
    fmt.Println(canJump(nums))
}

medium

A. true

B. false

C. Compilation error

D. Runtime panic

Solution

1. Step 1: Trace maxReach updates

   Start 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.

2. Step 2: Check if any index is unreachable

   All i ≤ maxReach, so no false return. Loop ends, returns true.

3. Final Answer:

   true -> Option A

4. Quick Check:

   All indices reachable = true [OK]

Hint: Track max reachable index; if current index exceeds it, return false [OK]

Common Mistakes:

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

4. Identify the bug in this Go function for the Jump Game problem and select the fix:

func canJump(nums []int) bool {
    maxReach := 0
    for i := 0; i <= len(nums); i++ {
        if i > maxReach {
            return false
        }
        if i+nums[i] > maxReach {
            maxReach = i + nums[i]
        }
    }
    return true
}

medium

A. Remove the if condition checking i > maxReach

B. Initialize maxReach to 1 instead of 0

C. Change loop condition to i < len(nums)

D. Change return false to return true inside the loop

Solution

1. Step 1: Analyze loop boundary

   The loop runs with i <= len(nums), which causes index out of range error at i == len(nums).

2. Step 2: Fix loop condition

   Changing to i < len(nums) prevents out of range access and fixes the bug.

3. Final Answer:

   Change loop condition to i < len(nums) -> Option C

4. Quick Check:

   Loop index must be less than slice length [OK]

Hint: Use i < len(slice) to avoid index out of range errors [OK]

Common Mistakes:

• Using <= instead of < in loop condition
• Ignoring runtime panic from out of range
• Changing unrelated parts of code

5. Given the array nums := []int{3, 2, 1, 0, 4}, what is the result of applying the Jump Game algorithm to check if the last index is reachable?

hard

A. true

B. false

C. Runtime error due to zero jump

D. Depends on starting index

Solution

1. 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.

2. Step 2: Understand why last index is unreachable

   At index 3, jump length is 0, so maxReach does not increase. Index 4 is beyond maxReach, unreachable.

3. Final Answer:

   false -> Option B

4. Quick Check:

   Zero jump blocks progress = false [OK]

Hint: If maxReach stops before last index, return false [OK]

Common Mistakes:

• Assuming zero jump can be bypassed
• Ignoring unreachable last index
• Thinking runtime error occurs