1870. Minimum Speed to Arrive on Time
You are given a floating-point number hour
, representing the amount of time you have to reach the office. To commute to the office, you must take n
trains in sequential order. You are also given an integer array dist
of length n
, where dist[i]
describes the distance (in kilometers) of the ith
train ride.
Each train can only depart at an integer hour, so you may need to wait in between each train ride.
For example, if the
1st
train ride takes1.5
hours, you must wait for an additional0.5
hours before you can depart on the2nd
train ride at the 2 hour mark.
Return the minimum positive integer speed (in kilometers per hour) that all the trains must travel at for you to reach the office on time, or -1
if it is impossible to be on time.
Tests are generated such that the answer will not exceed 107
and hour
will have at most two digits after the decimal point.
Example 1:
Input: dist = [1,3,2], hour = 6
Output: 1
Explanation: At speed 1:
- The first train ride takes 1/1 = 1 hour.
- Since we are already at an integer hour, we depart immediately at the 1 hour mark. The second train takes 3/1 = 3 hours.
- Since we are already at an integer hour, we depart immediately at the 4 hour mark. The third train takes 2/1 = 2 hours.
- You will arrive at exactly the 6 hour mark.
Example 2:
Input: dist = [1,3,2], hour = 2.7
Output: 3
Explanation: At speed 3:
- The first train ride takes 1/3 = 0.33333 hours.
- Since we are not at an integer hour, we wait until the 1 hour mark to depart. The second train ride takes 3/3 = 1 hour.
- Since we are already at an integer hour, we depart immediately at the 2 hour mark. The third train takes 2/3 = 0.66667 hours.
- You will arrive at the 2.66667 hour mark.
Example 3:
Input: dist = [1,3,2], hour = 1.9
Output: -1
Explanation: It is impossible because the earliest the third train can depart is at the 2 hour mark.
Constraints:
n == dist.length
1 <= n <= 105
1 <= dist[i] <= 105
1 <= hour <= 109
There will be at most two digits after the decimal point in
hour
.
Solution
If we find the speed k, then we can guarantee that for all speed2 , if speed2 >= k, then the spendTime with speed2 must be smaller than the given hour.
It likely maintains monotonicity in this observation. So we can try to use binary search.
public int minSpeedOnTime(int[] dist, double hour) {
int n = dist.length;
if(hour - n + 1 <= 0) return -1;
int lo = 1;
int hi = 10000000;
while(lo < hi){
int mid = lo + (hi-lo)/2;
if(isStatisfied(dist, hour, mid)){
hi = mid;
}else{
lo = mid + 1;
}
}
return lo;
}
public boolean isStatisfied(int[] dist, double hour, int speed){
double spent = 0;
for(int i = 0; i < dist.length-1; i++) {
spent += (int)Math.ceil(((double)(dist[i]))/speed);
}
spent += ((double)(dist[dist.length-1]))/speed;
return spent <= hour;
}
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