There are n
piles of coins on a table. Each pile consists of a positive number of coins of assorted denominations.
In one move, you can choose any coin on top of any pile, remove it, and add it to your wallet.
Given a list piles
, where piles[i]
is a list of integers denoting the composition of the i
th
pile from top to bottom, and a positive integer k
, return the maximum total value of coins you can have in your wallet if you choose exactly k
coins optimally.
Example 1:
Input: piles = [[1,100,3],[7,8,9]], k = 2
Output: 101
Explanation:
The above diagram shows the different ways we can choose k coins.
The maximum total we can obtain is 101.
Example 2:
Input: piles = [[100],[100],[100],[100],[100],[100],[1,1,1,1,1,1,700]], k = 7
Output: 706
Explanation:
The maximum total can be obtained if we choose all coins from the last pile.
Constraints:
n == piles.length
1 <= n <= 1000
1 <= piles[i][j] <= 10
5
1 <= k <= sum(piles[i].length) <= 2000
Python:
class Solution(object):
def maxValueOfCoins(self, piles, k):
"""
:type piles: List[List[int]]
:type k: int
:rtype: int
"""
mv = [0] * (k+1)
pile_sum = [0] * (k+1)
for pile in piles:
n, sum = min(k, len(pile)), 0
for i in range(1, n+1):
pile_sum[i] = sum = sum + pile[i-1]
for i in range(k, 0, -1):
max_val = 0
for j in range(min(i, n), -1, -1):
max_val = max(max_val, pile_sum[j] + mv[i-j])
mv[i] = max_val
return mv[k]