You are given n
individuals at a base camp who need to cross a river to reach a destination using a single boat. The boat can carry at most k
people at a time. The trip is affected by environmental conditions that vary cyclically over m
stages.
Each stage j
has a speed multiplier mul[j]
:
mul[j] > 1
, the trip slows down.mul[j] < 1
, the trip speeds up.Each individual i
has a rowing strength represented by time[i]
, the time (in minutes) it takes them to cross alone in neutral conditions.
Rules:
g
departing at stage j
takes time equal to the maximum time[i]
among its members, multiplied by mul[j]
minutes to reach the destination.d
, the stage advances by floor(d) % m
steps.r
be the index of the returning person, the return takes time[r] × mul[current_stage]
, defined as return_time
, and the stage advances by floor(return_time) % m
.Return the minimum total time required to transport all individuals. If it is not possible to transport all individuals to the destination, return -1
.
Example 1:
Input: n = 1, k = 1, m = 2, time = [5], mul = [1.0,1.3]
Output: 5.00000
Explanation:
5 × 1.00 = 5.00
minutes.5.00
minutes.Example 2:
Input: n = 3, k = 2, m = 3, time = [2,5,8], mul = [1.0,1.5,0.75]
Output: 14.50000
Explanation:
The optimal strategy is:
max(2, 8) × mul[0] = 8 × 1.00 = 8.00
minutes. The stage advances by floor(8.00) % 3 = 2
, so the next stage is (0 + 2) % 3 = 2
.2 × mul[2] = 2 × 0.75 = 1.50
minutes. The stage advances by floor(1.50) % 3 = 1
, so the next stage is (2 + 1) % 3 = 0
.max(2, 5) × mul[0] = 5 × 1.00 = 5.00
minutes. The stage advances by floor(5.00) % 3 = 2
, so the final stage is (0 + 2) % 3 = 2
.8.00 + 1.50 + 5.00 = 14.50
minutes.Example 3:
Input: n = 2, k = 1, m = 2, time = [10,10], mul = [2.0,2.0]
Output: -1.00000
Explanation:
-1.00
.
Constraints:
1 <= n == time.length <= 12
1 <= k <= 5
1 <= m <= 5
1 <= time[i] <= 100
m == mul.length
0.5 <= mul[i] <= 2.0