Can you jump through the path without getting stuck? Discover the smart way!
Why Jump Game Problem in DSA Javascript?
Imagine you are playing a board game where each square tells you how many steps you can jump forward. You want to reach the last square, but you have to decide carefully which squares to jump on.
Trying every possible jump by hand is slow and confusing. You might jump too far or too short and get stuck. It's easy to lose track and make mistakes, especially if the board is long.
The Jump Game Problem helps you quickly find out if you can reach the end by checking the best jumps step-by-step. It uses smart rules to avoid trying every jump, saving time and effort.
function canReachEnd(board) {
for (let i = 0; i < board.length; i++) {
// try all jumps from i
}
return false;
}function canReachEnd(board) {
let maxReach = 0;
for (let i = 0; i <= maxReach; i++) {
maxReach = Math.max(maxReach, i + board[i]);
if (maxReach >= board.length - 1) return true;
}
return false;
}This problem lets you quickly decide if you can jump through a path without checking every step manually.
Think of planning a road trip where each city tells you how far you can drive next. You want to know if you can reach your destination without running out of fuel.
Manual checking of all jumps is slow and error-prone.
The Jump Game Problem uses a smart way to track the farthest reachable point.
This helps quickly decide if the end is reachable.
Practice
Solution
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.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.Final Answer:
If you can reach the last index starting from the first index -> Option AQuick Check:
Jump Game = Reach last index [OK]
- Confusing reachability with minimum jumps
- Thinking about maximum jump length only
- Assuming sum of jumps matters
i to index j in JavaScript, given an array nums?Solution
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].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.Final Answer:
if (j <= i + nums[i]) -> Option DQuick Check:
Jump condition = j ≤ i + nums[i] [OK]
- Comparing nums[j] instead of j
- Using < instead of ≤
- Mixing indices and values incorrectly
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]));Solution
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.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.Final Answer:
true false -> Option AQuick Check:
First array reachable, second not [OK]
- Not updating maxReach correctly
- Returning true too early
- Ignoring the condition i > maxReach
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;
}Solution
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.Step 2: Correct loop condition
The loop should run while i < nums.length to avoid out-of-bounds errors.Final Answer:
The loop condition should be i < nums.length, not i <= nums.length -> Option BQuick Check:
Loop boundary off by one error [OK]
- Using <= instead of < in loops
- Misinitializing maxReach
- Placing return true inside loop
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?Solution
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.Step 2: Analyze blocking
Zeros at indices 2,4 limit jumps from reachable positions (max=4), blocking paths to end.Final Answer:
You cannot reach the last index because zeros block all paths -> Option CQuick Check:
Max reach=4 < length-1=6 [OK]
- Thinking zeros can always be skipped sufficiently
- Assuming jumps must be fixed length
- Believing backward jumps are allowed
Ready to prove it?
Pass the test and this pattern moves unknown
