codeforces Hello 2018 C. Party Lemonade(DP+思维)
2018-01-09 16:44
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C. Party Lemonade
time limit per test1 second
memory limit per test256 megabytes
inputstandard input
outputstandard output
A New Year party is not a New Year party without lemonade! As usual, you are expecting a lot of guests, and buying lemonade has already become a pleasant necessity.
Your favorite store sells lemonade in bottles of n different volumes at different costs. A single bottle of type i has volume 2i - 1 liters and costs ci roubles. The number of bottles of each type in the store can be considered infinite.
You want to buy at least L liters of lemonade. How many roubles do you have to spend?
Input
The first line contains two integers n and L (1 ≤ n ≤ 30; 1 ≤ L ≤ 109) — the number of types of bottles in the store and the required amount of lemonade in liters, respectively.
The second line contains n integers c1, c2, …, cn (1 ≤ ci ≤ 109) — the costs of bottles of different types.
Output
Output a single integer — the smallest number of roubles you have to pay in order to buy at least L liters of lemonade.
Examples
input
4 12
20 30 70 90
output
150
input
4 3
10000 1000 100 10
output
10
input
4 3
10 100 1000 10000
output
30
input
5 787787787
123456789 234567890 345678901 456789012 987654321
output
44981600785557577
Note
In the first example you should buy one 8-liter bottle for 90 roubles and two 2-liter bottles for 30 roubles each. In total you’ll get 12 liters of lemonade for just 150 roubles.
In the second example, even though you need only 3 liters, it’s cheaper to buy a single 8-liter bottle for 10 roubles.
In the third example it’s best to buy three 1-liter bottles for 10 roubles each, getting three liters for 30 roubles.
思路:
dp[0]表示20 体积的最优价格,以此类推,
dp[i]表示2i 体积的最优价格。
然后二进制拆分需要买的体积,则对应的二进制位为1则取dp[i]的最优价格,为0则取当前价钱>总商品的价格,则取总商品的价格。
time limit per test1 second
memory limit per test256 megabytes
inputstandard input
outputstandard output
A New Year party is not a New Year party without lemonade! As usual, you are expecting a lot of guests, and buying lemonade has already become a pleasant necessity.
Your favorite store sells lemonade in bottles of n different volumes at different costs. A single bottle of type i has volume 2i - 1 liters and costs ci roubles. The number of bottles of each type in the store can be considered infinite.
You want to buy at least L liters of lemonade. How many roubles do you have to spend?
Input
The first line contains two integers n and L (1 ≤ n ≤ 30; 1 ≤ L ≤ 109) — the number of types of bottles in the store and the required amount of lemonade in liters, respectively.
The second line contains n integers c1, c2, …, cn (1 ≤ ci ≤ 109) — the costs of bottles of different types.
Output
Output a single integer — the smallest number of roubles you have to pay in order to buy at least L liters of lemonade.
Examples
input
4 12
20 30 70 90
output
150
input
4 3
10000 1000 100 10
output
10
input
4 3
10 100 1000 10000
output
30
input
5 787787787
123456789 234567890 345678901 456789012 987654321
output
44981600785557577
Note
In the first example you should buy one 8-liter bottle for 90 roubles and two 2-liter bottles for 30 roubles each. In total you’ll get 12 liters of lemonade for just 150 roubles.
In the second example, even though you need only 3 liters, it’s cheaper to buy a single 8-liter bottle for 10 roubles.
In the third example it’s best to buy three 1-liter bottles for 10 roubles each, getting three liters for 30 roubles.
思路:
dp[0]表示20 体积的最优价格,以此类推,
dp[i]表示2i 体积的最优价格。
然后二进制拆分需要买的体积,则对应的二进制位为1则取dp[i]的最优价格,为0则取当前价钱>总商品的价格,则取总商品的价格。
#include<bits/stdc++.h> using namespace std; typedef long long int ll; const int N=35; int main() { ll dp ; ll n,L; scanf("%lld%lld",&n,&L); for(int i=0;i<n;i++) { scanf("%lld",&dp[i]); } for(int i=1;i<n;i++) { dp[i]=min(dp[i],dp[i-1]*2); } for(int i=n-2;i>=0;i--) { dp[i]=min(dp[i+1],dp[i]); } for(int i=n;i<31;i++) { dp[i]=dp[i-1]<<1; //printf("%lld %lld \n",dp[i],dp[i-1]); } ll sum=0; for(int i=0;i<31;i++) { if(L&(1LL<<i))sum+=dp[i]; else if(sum>dp[i])sum=dp[i]; } printf("%lld\n",sum); return 0; }
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