Jump Game Problem in DSA C++ - 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, given that each element represents the maximum jump length from that position.

beginner

In the Jump Game problem, what does the value at each array index represent?

The maximum number of steps you can jump forward from that index.

intermediate

Which approach is commonly used to solve the Jump Game problem efficiently?

A greedy approach that keeps track of the furthest reachable index while iterating through the array.

intermediate

What condition indicates that you cannot move forward in the Jump Game problem?

If the current index is beyond the furthest reachable index, it means you are stuck and cannot proceed further.

advanced

Explain why a greedy approach works for the Jump Game problem.

Because at each step, choosing the jump that leads to the furthest reachable position ensures the best chance to reach the end without exploring all paths.

In the Jump Game problem, what does a zero value at an index mean?

A You have reached the end

B You can jump any number of steps from that position

C You must jump backward

D You cannot jump forward from that position

A zero means no steps can be jumped forward from that index.

Which of these is the best way to track progress in the Jump Game problem?

A Sum all jump lengths

B Track the furthest reachable index

C Count the number of zeros

D Track the smallest jump length

Tracking the furthest reachable index helps decide if the end can be reached.

If you find an index that is beyond your furthest reachable position, what does it mean?

A You are stuck and cannot proceed

B You have reached the last index

C You must jump backward

D You can still reach the end

Being beyond the furthest reachable index means you cannot move forward.

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

A O(n^2)

B O(log n)

C O(n)

D O(1)

The greedy solution iterates through the array once, so it is O(n).

Which data structure is primarily used in the greedy approach to solve the Jump Game problem?

A Array index tracking (no extra data structure)

B Queue

C Stack

D Linked list

The greedy approach uses simple variables to track indices, no extra data structure is needed.

Describe the greedy approach to solve the Jump Game problem step-by-step.

Think about how to keep track of the best position you can jump to as you move forward.

Explain why the Jump Game problem can be solved without exploring all jump paths.

Focus on how choosing the best jump at each step avoids unnecessary checks.

Practice

1. What is the main goal of the Jump Game problem?

easy

A. Count the total number of jumps needed to reach the end

B. Find the maximum jump length from the first index

C. Calculate the minimum jump length required to reach the last index

D. Determine if you can reach the last index from the first index by jumping

Solution

1. Step 1: Understand the problem statement

   The Jump Game problem asks if it is possible to move from the first position of an array to the last position by jumping forward. Each array element represents the maximum jump length from that position.

2. Step 2: Identify the goal

   The goal is to check if the last index can be reached starting from the first index using the allowed jumps.

3. Final Answer:

   Determine if you can reach the last index from the first index by jumping -> Option D

4. Quick Check:

   Jump Game goal = Reach last index [OK]

Hint: Focus on reachability from start to end index [OK]

Common Mistakes:

• Confusing maximum jump length with total jumps
• Trying to count jumps instead of checking reachability
• Assuming jumps can be backward

2. Which of the following is the correct C++ syntax to declare a vector named nums initialized with values {2,3,1,1,4}?

easy

A. vector nums = [2,3,1,1,4];

B. std::vector nums = {2,3,1,1,4};

C. std::vector<int> nums = {2,3,1,1,4};

D. std::vector<int> nums(2,3,1,1,4);

Solution

1. Step 1: Understand vector declaration syntax

   In C++, to declare a vector of integers with initial values, use std::vector<int> nums = {values};.

2. Step 2: Check each option

   std::vector<int> nums = {2,3,1,1,4}; uses correct syntax with type and initializer list. Options A and C miss template type or use wrong brackets. std::vector<int> nums(2,3,1,1,4); uses constructor incorrectly.

3. Final Answer:

   std::vector<int> nums = {2,3,1,1,4}; -> Option C

4. Quick Check:

   Correct vector initialization syntax = std::vector<int> nums = {2,3,1,1,4}; [OK]

Hint: Use std::vector<int> with curly braces for initialization [OK]

Common Mistakes:

• Omitting <int> in vector declaration
• Using square brackets [] instead of curly braces {}
• Incorrect constructor parameters

3. What will be the output of the following C++ code snippet?

std::vector<int> nums = {2,3,1,1,4};
int maxReach = 0;
for (int i = 0; i <= maxReach; ++i) {
    maxReach = std::max(maxReach, i + nums[i]);
    if (maxReach >= nums.size() - 1) {
        std::cout << "true" << std::endl;
        break;
    }
}
if (maxReach < nums.size() - 1) std::cout << "false" << std::endl;

medium

A. false

B. true

C. Compilation error

D. Runtime error

Solution

1. Step 1: Trace the loop and maxReach updates

   Start with maxReach=0. At i=0, maxReach = max(0, 0+2) = 2. At i=1, maxReach = max(2, 1+3) = 4. Since maxReach (4) >= last index (4), print "true" and break.

2. Step 2: Confirm output

   The loop breaks after printing "true". No further output.

3. Final Answer:

   true -> Option B

4. Quick Check:

   maxReach reaches last index, output = true [OK]

Hint: Track maxReach and break when it reaches last index [OK]

Common Mistakes:

• Not updating maxReach correctly
• Missing break causing extra output
• Confusing index bounds in loop

4. Identify the error in the following C++ code for the Jump Game problem:

bool canJump(std::vector<int>& nums) {
    int maxReach = 0;
    for (int i = 0; i < nums.size(); ++i) {
        if (i > maxReach) return false;
        maxReach = std::max(maxReach, i + nums[i]);
    }
    return true;
}

medium

A. No error, code works correctly

B. Return false should be after the loop, not inside

C. maxReach update is incorrect, should subtract 1

D. Loop condition should be i <= maxReach instead of i < nums.size()

Solution

1. Step 1: Analyze loop and conditions

   The loop iterates over all indices. If current index i is beyond maxReach, return false immediately. Otherwise, update maxReach.

2. Step 2: Verify correctness

   This logic correctly checks if the last index is reachable. Returning false inside loop is valid. maxReach update is correct.

3. Final Answer:

   No error, code works correctly -> Option A

4. Quick Check:

   Code logic matches Jump Game solution [OK]

Hint: Check if current index exceeds maxReach to return false early [OK]

Common Mistakes:

• Changing loop condition incorrectly
• Moving return false outside loop causing wrong result
• Incorrect maxReach calculation

5. Given the array nums = {3,2,1,0,4}, why does the standard greedy Jump Game algorithm return false?

hard

A. Because the zero at index 3 blocks any further jumps to the last index

B. Because the array length is less than 5

C. Because the first element is too large causing an overflow

D. Because the algorithm only works for arrays with all positive numbers

Solution

1. Step 1: Understand the array and jumps

   Starting at index 0 with jump length 3, you can reach indices 1, 2, or 3. At index 3, jump length is 0, so you cannot move forward from there.

2. Step 2: Identify why last index is unreachable

   Since index 4 is beyond index 3 and no jumps can be made from index 3, the last index cannot be reached, so the algorithm returns false.

3. Final Answer:

   Because the zero at index 3 blocks any further jumps to the last index -> Option A

4. Quick Check:

   Zero jump blocks path, output = false [OK]

Hint: Look for zero jump spots blocking progress [OK]

Common Mistakes:

• Ignoring zero jump blocking
• Assuming array length affects result
• Misunderstanding jump lengths