25. 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.
Solution: (DP)
Approach: Each day we have 3 choices (buy daily or weekly or monthly) ticket. We choose min of all Edge case is weekly ticket can be cheaper than daily
class Solution
{
public:
int mincostTickets(vector<int> &days, vector<int> &costs)
{
int n = days.size();
int maxDay = days[n - 1];
vector<int> dp(maxDay + 1);
int pos = 0;
dp[0] = 0;
for (int i = 1; i <= maxDay; i++)
{
if (days[pos] == i)
{
int day = dp[i - 1] + costs[0];
int week = (i - 7 >= 0) ? dp[i - 7] + costs[1] : 0 + costs[1];
int month = (i - 30 >= 0) ? dp[i - 30] + costs[2] : 0 + costs[2];
dp[i] = min(day, min(week, month));
pos++;
}
else
{
dp[i] = dp[i - 1];
}
}
return dp[maxDay];
}
};
Time Complexity: O(n) || 365 Space Complexity: O(n) || 365
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