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Grouped Carriages

3000ms 524288K

Description:

Pak Chanek observes that the carriages of a train is always full on morning departure hours and afternoon departure hours. Therefore, the balance between carriages is needed so that it is not too crowded in only a few carriages.

A train contains $$$N$$$ carriages that are numbered from $$$1$$$ to $$$N$$$ from left to right. Carriage $$$i$$$ initially contains $$$A_i$$$ passengers. All carriages are connected by carriage doors, namely for each $$$i$$$ ($$$1\leq i\leq N-1$$$), carriage $$$i$$$ and carriage $$$i+1$$$ are connected by a two-way door.

Each passenger can move between carriages, but train regulation regulates that for each $$$i$$$, a passenger that starts from carriage $$$i$$$ cannot go through more than $$$D_i$$$ doors.

Define $$$Z$$$ as the most number of passengers in one same carriage after moving. Pak Chanek asks, what is the minimum possible value of $$$Z$$$?

Input:

The first line contains a single integer $$$N$$$ ($$$1 \leq N \leq 2\cdot10^5$$$) — the number of carriages.

The second line contains $$$N$$$ integers $$$A_1, A_2, A_3, \ldots, A_N$$$ ($$$0 \leq A_i \leq 10^9$$$) — the initial number of passengers in each carriage.

The third line contains $$$N$$$ integers $$$D_1, D_2, D_3, \ldots, D_N$$$ ($$$0 \leq D_i \leq N-1$$$) — the maximum limit of the number of doors for each starting carriage.

Output:

An integer representing the minimum possible value of $$$Z$$$.

Sample Input:

7
7 4 2 0 5 8 3
4 0 0 1 3 1 3

Sample Output:

5

Note:

One strategy that is optimal is as follows:

  • $$$5$$$ people in carriage $$$1$$$ move to carriage $$$4$$$ (going through $$$3$$$ doors).
  • $$$3$$$ people in carriage $$$5$$$ move to carriage $$$3$$$ (going through $$$2$$$ doors).
  • $$$2$$$ people in carriage $$$6$$$ move to carriage $$$5$$$ (going through $$$1$$$ door).
  • $$$1$$$ person in carriage $$$6$$$ moves to carriage $$$7$$$ (going through $$$1$$$ door).

The number of passengers in each carriage becomes $$$[2,4,5,5,4,5,4]$$$.

Informação

Codeforces

Provedor Codeforces

Código CF1866G

Tags

binary searchdata structuresdpflowsgreedy

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Datas 09/05/2023 10:41:55

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