983. Minimum Cost For Tickets
In a country popular for train travel, you have planned some train travelling one year in advance. The days of the year that you will travel is given as an array days
. Each day is an integer from 1
to 365
.
Train tickets are sold in 3 different ways:
a 1-day pass is sold for
costs[0]
dollars;a 7-day pass is sold for
costs[1]
dollars;a 30-day pass is sold for
costs[2]
dollars.
The passes allow that many days of consecutive travel. For example, if we get a 7-day pass on day 2, then we can travel for 7 days: day 2, 3, 4, 5, 6, 7, and 8.
Return the minimum number of dollars you need to travel every day in the given list of days
.
Example 1:
Input: days = [1,4,6,7,8,20], costs = [2,7,15]
Output: 11
Explanation:
For example, here is one way to buy passes that lets you travel your travel plan:
On day 1, you bought a 1-day pass for costs[0] = $2, which covered day 1.
On day 3, you bought a 7-day pass for costs[1] = $7, which covered days 3, 4, ..., 9.
On day 20, you bought a 1-day pass for costs[0] = $2, which covered day 20.
In total you spent $11 and covered all the days of your travel.
Example 2:
Input: days = [1,2,3,4,5,6,7,8,9,10,30,31], costs = [2,7,15]
Output: 17
Explanation:
For example, here is one way to buy passes that lets you travel your travel plan:
On day 1, you bought a 30-day pass for costs[2] = $15 which covered days 1, 2, ..., 30.
On day 31, you bought a 1-day pass for costs[0] = $2 which covered day 31.
In total you spent $17 and covered all the days of your travel.
Note:
1 <= days.length <= 365
1 <= days[i] <= 365
days
is in strictly increasing order.costs.length == 3
1 <= costs[i] <= 1000
Solution
可以想到dp[i] denotes the miniCost at day i, 但想不到怎麼歸納,透過dayInclude確實簡單很多
public int mincostTickets(int[] days, int[] costs) {
boolean[] dayInclude = new boolean[366];
for(int day : days){
dayInclude[day] = true;
}
int[] dp = new int[366];
dp[0] = 0;
for(int i = 1; i < 366; i++){
if(!dayInclude[i]){
dp[i] = dp[i-1];
continue;
}
dp[i] = costs[0] + dp[i-1];
dp[i] = Math.min(dp[i], costs[1] + (i >= 7 ? dp[i-7] : 0) );
dp[i] = Math.min(dp[i], costs[2] + (i >= 30 ? dp[i-30] : 0));
}
return dp[365];
}
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