
Problem Statement
In this challenge, an integer array nums
is provided where each element represents the maximum jump length from that index in the array. You start from the first index of this array. The task is to determine whether it's possible to jump from the beginning to the last index based solely on the jump lengths defined by the elements of the array. The function should return true
if reaching the last index is possible, and false
if it's not.
Examples
Example 1
Input:
nums = [2,3,1,1,4]
Output:
true
Explanation:
Jump 1 step from index 0 to 1, then 3 steps to the last index.
Example 2
Input:
nums = [3,2,1,0,4]
Output:
false
Explanation:
You will always arrive at index 3 no matter what. Its maximum jump length is 0, which makes it impossible to reach the last index.
Constraints
1 <= nums.length <= 104
0 <= nums[i] <= 105
Approach and Intuition
Understanding the problem involves grasping the way jumps can be made based on the value at each array index and the constraints imposed on those values:
Initial Setup: You start at the first index of the array. Your goal is to make jumps to other indices using the numbers at current index which tells how far you can jump maximum from that index.
Progressing through the array:
- At any index, the number represents the maximum length of the jump you can make.
- If the number at the current index is 0, and it's not the last index, you cannot progress further.
- You aim to jump in such a way that you either reach or surpass the last index.
- You should also aim to make the maximum progress with each jump without missing the potential earlier exits.
Greedy Solution Strategy:
- Keeping the current furthest reachable index updated will help plan the next jump.
- If at any point, the current index exceeds the furthest reachable index computed so far and it still hasn’t reached the end of the array, then the last index is unreachable.
- Each position in the array updates the furthest reachable index to its maximum possible value based on the maximum jump length permissible from that position.
Constructing the Intuition
- The approach can be thought of as a greedy strategy — you always jump to the position where you can go farthest next, updating your reach in the process.
- For example, in
nums = [2,3,1,1,4]
: starting from index 0, the value is 2, allowing potential reach to index 2. From index 1 or 2, seeing the values and calculating the maximal reach incrementally ensures whether you can surpass the last index.
In summary, your ability to reach or surpass the last index relies heavily on making optimal jumps based on the current maximum reach and recalculating the possibilities as you move through the array.
Solutions
- C++
- Java
- C
- JavaScript
- Python
class Solution {
public:
bool canReachEnd(vector<int>& jumps) {
int goal = jumps.size() - 1;
for (int idx = jumps.size() - 1; idx >= 0; idx--) {
if (idx + jumps[idx] >= goal) {
goal = idx;
}
}
return goal == 0;
}
};
The given C++ program defines a solution to determine if one can reach the end of an array where each element specifies the maximum jump length from that position. Analyze the provided code to comprehend the strategy employed:
- Initialize
goal
with the last index of thejumps
array, which represents the target to reach. - Iterate backwards from the end of the array (
jumps.size() - 1
) to the beginning. - During each iteration, check if the sum of the current index (
idx
) and the jump length at that index (jumps[idx]
) reaches or exceeds the current goal. - If true, update the
goal
to the current index as this becomes the new target to achieve. - Continue the process until you reach the start of the array.
- Return
true
if you can reduce thegoal
to0
(start of the array), meaning it's possible to jump to the end. Otherwise, returnfalse
.
This approach utilizes a greedy algorithm that efficiently navigates the array in a backward manner, minimizing the need to explore all possible jump paths. Adjustments or optimizations might be necessary for specific variations of the problem or different inputs.
public class Solution {
public boolean jumpCheck(int[] steps) {
int reach = steps.length - 1;
for (int position = steps.length - 1; position >= 0; position--) {
if (position + steps[position] >= reach) {
reach = position;
}
}
return reach == 0;
}
}
This Java-based implementation checks if it's possible to jump to the end of an array by starting at the first element and using each element as the maximum jump length from that position. Here's a straightforward guide on how it operates:
- Declare a
reach
variable initialized to the last index of thesteps
array. - Execute a loop that iterates backward from the end of the array to the start.
- In each iteration, check if the sum of the current position and its jump length can reach or surpass the value held by
reach
. Updatereach
to the current position if the condition is met. - Return
true
ifreach
becomes zero, indicating that the start of the array can successfully reach the end. If not,false
is returned at the end of the function.
The approach utilizes a greedy algorithm that efficiently determines the feasibility of reaching the end of the array from the start, taking into account the varying jump lengths at each index.
bool isReachable(int* arr, int len) {
int finalPos = len - 1;
for (int idx = len - 1; idx >= 0; idx--) {
if (idx + arr[idx] >= finalPos) {
finalPos = idx;
}
}
return finalPos == 0;
}
The "Jump Game" solution provided is implemented in C and focuses on determining if it's possible to reach the last index of an array starting from the first index. The elements in the array represent the maximum jump length at that position.
- The function
isReachable
takes an integer arrayarr
and its lengthlen
as parameters. - It initializes
finalPos
to the last index of the array. - A reverse loop starts from the last element to the first. This loop checks if the current position combined with the allowed jump at that position can at least reach or exceed the position currently considered as the final reachable position (
finalPos
). - If so, the
finalPos
gets updated to the current index, indicating a new possible earlier start for the last jump. - The loop continues until all elements are checked or the start of the array is confirmed reachable (
finalPos == 0
). - The function returns
true
if the start of the array (index 0
) is reachable, otherwise it returnsfalse
.
This approach is optimal as it reduces the problem to a few linear operations, utilizing reverse iteration and greedy updating of reachable positions, making it computationally efficient.
var canReachEnd = function (positions) {
let finalPosition = positions.length - 1;
for (let index = positions.length - 1; index >= 0; index--) {
if (index + positions[index] >= finalPosition) {
finalPosition = index;
}
}
return finalPosition === 0;
};
The Jump Game problem involves determining if it's possible to reach the end of an array from the beginning, given an array of non-negative integers where each element represents the maximum number of steps that can be taken from that position. The provided code snippet in JavaScript implements a solution to this problem using an efficient approach.
Here is a concise breakdown of the function canReachEnd
:
- Initialize
finalPosition
to the last index of thepositions
array. - Iterate backwards through the array starting from the last element.
- For each element, check if the sum of the current index and the value at that index (maximum jump from the position) is greater than or equal to
finalPosition
. If true, updatefinalPosition
to be the current index because this shows that from this point, the end can be potentially reached. - At the end of the loop, if
finalPosition
is zero, returntrue
indicating the start of the array connects to the end via valid jumps. If not, returnfalse
.
This reverse iteration allows efficient checking by consolidating potential endpoints progressively backward until the start of the array is reached or detected as unreachable. This greedy algorithm has a time complexity of ( O(n) ), where ( n ) is the number of elements in the array, because it goes through the elements a single time.
class Solution:
def jump_possible(self, jumps: List[int]) -> bool:
target = len(jumps) - 1
for pos in range(len(jumps) - 1, -1, -1):
if pos + jumps[pos] >= target:
target = pos
return target == 0
This Python solution defines a method jump_possible
to determine if it's feasible to jump to the last index of an array starting from the first index, based on the integers provided in the array jumps
. Each integer represents the maximum number of indices you can jump forward from that position.
- The method initializes
target
to the last index of the array. - Iterates backward through the array:
- For each position, it checks if, by utilizing the max jump from that position, the target can either be reached or surpassed.
- If possible, the target is updated to the current position, meaning, from this position, you can eventually reach or pass the original last index.
- At the end, if the iteration has managed to set the target to 0, return
True
, indicating successful traversal; otherwise,False
.
This method effectively determines jump feasibility using a greedy approach, updating a backtrack target to see if the start of the list can connect to the end through the allowed jumps.
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