Problem: A frog is crossing a river. The river is divided into some number of units, and at each unit, there may or may not exist a stone. The frog can jump on a stone, but it must not jump into the water.
Given a list of stones' positions (in units) in sorted ascending order, determine if the frog can cross the river by landing on the last stone. Initially, the frog is on the first stone and assumes the first jump must be 1 unit.
If the frog's last jump was k units, its next jump must be either k - 1, k, or k + 1 units. The frog can only jump in the forward direction.
Example:
Input: stones = [0,1,3,5,6,8,12,17] Output: true Explanation: The frog can jump to the last stone by jumping 1 unit to the 2nd stone, then 2 units to the 3rd stone, then 2 units to the 4th stone, then 3 units to the 6th stone, 4 units to the 7th stone, and 5 units to the 8th stone.
Input: stones = [0,1,2,3,4,8,9,11] Output: false Explanation: There is no way to jump to the last stone as the gap between the 5th and 6th stone is too large.
Approach: We can look at this problem as a Graph where its node contains position and the amount of jump. Now a node is connected to another node if target node is reachable from source node.
We can just apply BFS to see if we can reach from first stone to last stone.
Implementation in C#:
public class Jump
{
public int Position { get; set; }
public int PrevJump { get; set; }
public Jump(int pos, int jump)
{
this.Position = pos;
this.PrevJump = jump;
}
}
public class Solution
{
public bool CanCross(int[] stones)
{
if (stones.Length <= 1)
{
return true;
}
HashSet<int> stonesSet = new HashSet<int>(stones);
HashSet<string> visited = new HashSet<string>();
if (stones[1] != 1)
{
return false;
}
Queue<Jump> jumps = new Queue<Jump>();
int lastStone = stones[stones.Length - 1];
jumps.Enqueue(new Jump(0, 0));
while (jumps.Count > 0)
{
Jump jump = jumps.Dequeue();
if (jump.Position == lastStone)
{
return true;
}
for (int i = jump.PrevJump - 1; i <= jump.PrevJump + 1; ++i)
{
if (i <= 0)
{
continue;
}
string visitKey = (jump.Position + i) + " " + i;
if (stonesSet.Contains(jump.Position + i) && !visited.Contains(visitKey))
{
visited.Add(visitKey);
jumps.Enqueue(new Jump(jump.Position + i, i));
}
}
}
return false;
}
Complexity: O(n)
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