Codility Lesson 14

14.1 - Min Max Division

You are given integers K, M and a non-empty array A consisting of N integers. Every element of the array is not greater than M.

You should divide this array into K blocks of consecutive elements. The size of the block is any integer between 0 and N. Every element of the array should belong to some block.

The sum of the block from X to Y equals A[X] + A[X + 1] + ... + A[Y]. The sum of empty block equals 0.

The large sum is the maximal sum of any block.

For example, you are given integers K = 3, M = 5 and array A such that:

  A[0] = 2
  A[1] = 1
  A[2] = 5
  A[3] = 1
  A[4] = 2
  A[5] = 2
  A[6] = 2

The array can be divided, for example, into the following blocks:

  • [2, 1, 5, 1, 2, 2, 2], [], [] with a large sum of 15;
  • [2], [1, 5, 1, 2], [2, 2] with a large sum of 9;
  • [2, 1, 5], [], [1, 2, 2, 2] with a large sum of 8;
  • [2, 1], [5, 1], [2, 2, 2] with a large sum of 6.

The goal is to minimize the large sum. In the above example, 6 is the minimal large sum.

Write a function:

class Solution 
{
  public int solution(int K, int M, int[] A); 
}

that, given integers K, M and a non-empty array A consisting of N integers, returns the minimal large sum.

For example, given K = 3, M = 5 and array A such that:

  A[0] = 2
  A[1] = 1
  A[2] = 5
  A[3] = 1
  A[4] = 2
  A[5] = 2
  A[6] = 2

the function should return 6, as explained above.

Write an efficient algorithm for the following assumptions:

  • N and K are integers within the range [1..100,000];
  • M is an integer within the range [0..10,000];
  • each element of array A is an integer within the range [0..M].

14.2 - Nailing Planks

You are given two non-empty arrays A and B consisting of N integers. These arrays represent N planks. More precisely, A[K] is the start and B[K] the end of the Kth plank.

Next, you are given a non-empty array C consisting of M integers. This array represents M nails. More precisely, C[I] is the position where you can hammer in the Ith nail.

We say that a plank (A[K], B[K]) is nailed if there exists a nail C[I] such that A[K] ≤ C[I] ≤ B[K].

The goal is to find the minimum number of nails that must be used until all the planks are nailed. In other words, you should find a value J such that all planks will be nailed after using only the first J nails. More precisely, for every plank (A[K], B[K]) such that 0 ≤ K < N, there should exist a nail C[I] such that I < J and A[K] ≤ C[I] ≤ B[K].

For example, given arrays A, B such that:

    A[0] = 1    B[0] = 4
    A[1] = 4    B[1] = 5
    A[2] = 5    B[2] = 9
    A[3] = 8    B[3] = 10

four planks are represented: [1, 4], [4, 5], [5, 9] and [8, 10].

Given array C such that:

    C[0] = 4
    C[1] = 6
    C[2] = 7
    C[3] = 10
    C[4] = 2

if we use the following nails:

  • 0, then planks [1, 4] and [4, 5] will both be nailed.
  • 0, 1, then planks [1, 4], [4, 5] and [5, 9] will be nailed.
  • 0, 1, 2, then planks [1, 4], [4, 5] and [5, 9] will be nailed.
  • 0, 1, 2, 3, then all the planks will be nailed.

Thus, four is the minimum number of nails that, used sequentially, allow all the planks to be nailed.

Write a function:

class Solution 
{
  public int solution(int[] A, int[] B, int[] C); 
}

that, given two non-empty arrays A and B consisting of N integers and a non-empty array C consisting of M integers, returns the minimum number of nails that, used sequentially, allow all the planks to be nailed.

If it is not possible to nail all the planks, the function should return −1.

For example, given arrays A, B, C such that:

    A[0] = 1    B[0] = 4
    A[1] = 4    B[1] = 5
    A[2] = 5    B[2] = 9
    A[3] = 8    B[3] = 10

    C[0] = 4
    C[1] = 6
    C[2] = 7
    C[3] = 10
    C[4] = 2

the function should return 4, as explained above.

Write an efficient algorithm for the following assumptions:

  • N and M are integers within the range [1..30,000];
  • each element of arrays A, B and C is an integer within the range [1..2*M];
  • A[K] ≤ B[K].

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