Your browser (Unknown 0) is no longer supported. Some parts of the website may not work correctly. Please update your browser.

UPCOMING CHALLENGES:

CURRENT CHALLENGES:

Niobium 2019

PAST CHALLENGES

Zirconium 2019

Yttrium 2019

Strontium 2019

Rubidium 2018

Arsenicum 2018

Krypton 2018

Bromum 2018

Future Mobility

Grand Challenge

Digital Gold

Selenium 2018

Germanium 2018

Gallium 2018

Zinc 2018

Cuprum 2018

Cutting Complexity

Nickel 2018

Cobaltum 2018

Ferrum 2018

Manganum 2017

Chromium 2017

Vanadium 2016

Titanium 2016

Scandium 2016

Calcium 2015

Kalium 2015

Argon 2015

Chlorum 2014

Sulphur 2014

Phosphorus 2014

Silicium 2014

Aluminium 2014

Magnesium 2014

Natrium 2014

Neon 2014

Fluorum 2014

Oxygenium 2014

Nitrogenium 2013

Carbo 2013

Boron 2013

Beryllium 2013

Lithium 2013

Helium 2013

Hydrogenium 2013

Omega 2013

Psi 2012

Chi 2012

Phi 2012

Upsilon 2012

Tau 2012

Sigma 2012

Rho 2012

Pi 2012

Omicron 2012

Xi 2012

Nu 2011

Mu 2011

Lambda 2011

Kappa 2011

Iota 2011

Theta 2011

Eta 2011

Zeta 2011

Epsilon 2011

Delta 2011

Gamma 2011

Beta 2010

Alpha 2010

ambitious

Find the K-th piece of a cake in terms of size.

Programming language:
Spoken language:

You are presented with a rectangular cake whose sides are of length X and Y. The cake has been cut into (N + 1)^{2} pieces by making N straight cuts along the first side and N straight cuts along the second side.

The cuts are represented by two non-empty arrays A and B consisting of N integers. More precisely, A[I] such that 0 ≤ I < N represents the position of a cut along the first side, and B[I] such that 0 ≤ I < N represents the position of a cut along the second side.

The goal is to find the K-th piece of cake in order of size, starting with the largest piece first. We will consider the size of a piece to be its area.

For example, a cake with sides X = 6, Y = 7 and arrays A and B such that:

is represented by the figure below.

There are nine pieces of cake, and their consecutive sizes are: 12, 8, 6, 4, 4, 3, 2, 2, 1. In the figure above, the third piece of cake is highlighted; its size equals 6.

Write a function:

int solution(int X, int Y, int K, int A[], int B[], int N);

that, given three integers X, Y, K and two non-empty arrays A and B of N integers, returns the size of the K-th piece of cake.

For example, given:

the function should return 6, as explained above.

Write an ** efficient** algorithm for the following assumptions:

- N is an integer within the range [1..40,000];
- X and Y are integers within the range [2..400,000,000];
- K is an integer within the range [1..(N+1)*(N+1)];
- each element of array A is an integer within the range [1..X−1];
- each element of array B is an integer within the range [1..Y−1];
- A[I − 1] < A[I] and B[I − 1] < B[I], for every I such that 0 < I < N;
- 1 ≤ A[I] − A[I − 1], B[I] − B[I − 1] ≤ 10,000, for every I such that 0 < I < N;
- 1 ≤ A[0], B[0], X − A[N − 1], Y − B[N − 1] ≤ 10,000.

Copyright 2009–2019 by Codility Limited. All Rights Reserved. Unauthorized copying, publication or disclosure prohibited.

You are presented with a rectangular cake whose sides are of length X and Y. The cake has been cut into (N + 1)^{2} pieces by making N straight cuts along the first side and N straight cuts along the second side.

The cuts are represented by two non-empty arrays A and B consisting of N integers. More precisely, A[I] such that 0 ≤ I < N represents the position of a cut along the first side, and B[I] such that 0 ≤ I < N represents the position of a cut along the second side.

The goal is to find the K-th piece of cake in order of size, starting with the largest piece first. We will consider the size of a piece to be its area.

For example, a cake with sides X = 6, Y = 7 and arrays A and B such that:

is represented by the figure below.

There are nine pieces of cake, and their consecutive sizes are: 12, 8, 6, 4, 4, 3, 2, 2, 1. In the figure above, the third piece of cake is highlighted; its size equals 6.

Write a function:

int solution(int X, int Y, int K, vector<int> &A, vector<int> &B);

that, given three integers X, Y, K and two non-empty arrays A and B of N integers, returns the size of the K-th piece of cake.

For example, given:

the function should return 6, as explained above.

Write an ** efficient** algorithm for the following assumptions:

- N is an integer within the range [1..40,000];
- X and Y are integers within the range [2..400,000,000];
- K is an integer within the range [1..(N+1)*(N+1)];
- each element of array A is an integer within the range [1..X−1];
- each element of array B is an integer within the range [1..Y−1];
- A[I − 1] < A[I] and B[I − 1] < B[I], for every I such that 0 < I < N;
- 1 ≤ A[I] − A[I − 1], B[I] − B[I − 1] ≤ 10,000, for every I such that 0 < I < N;
- 1 ≤ A[0], B[0], X − A[N − 1], Y − B[N − 1] ≤ 10,000.

Copyright 2009–2019 by Codility Limited. All Rights Reserved. Unauthorized copying, publication or disclosure prohibited.

You are presented with a rectangular cake whose sides are of length X and Y. The cake has been cut into (N + 1)^{2} pieces by making N straight cuts along the first side and N straight cuts along the second side.

The cuts are represented by two non-empty arrays A and B consisting of N integers. More precisely, A[I] such that 0 ≤ I < N represents the position of a cut along the first side, and B[I] such that 0 ≤ I < N represents the position of a cut along the second side.

The goal is to find the K-th piece of cake in order of size, starting with the largest piece first. We will consider the size of a piece to be its area.

For example, a cake with sides X = 6, Y = 7 and arrays A and B such that:

is represented by the figure below.

There are nine pieces of cake, and their consecutive sizes are: 12, 8, 6, 4, 4, 3, 2, 2, 1. In the figure above, the third piece of cake is highlighted; its size equals 6.

Write a function:

class Solution { public int solution(int X, int Y, int K, int[] A, int[] B); }

that, given three integers X, Y, K and two non-empty arrays A and B of N integers, returns the size of the K-th piece of cake.

For example, given:

the function should return 6, as explained above.

Write an ** efficient** algorithm for the following assumptions:

- N is an integer within the range [1..40,000];
- X and Y are integers within the range [2..400,000,000];
- K is an integer within the range [1..(N+1)*(N+1)];
- each element of array A is an integer within the range [1..X−1];
- each element of array B is an integer within the range [1..Y−1];
- A[I − 1] < A[I] and B[I − 1] < B[I], for every I such that 0 < I < N;
- 1 ≤ A[I] − A[I − 1], B[I] − B[I − 1] ≤ 10,000, for every I such that 0 < I < N;
- 1 ≤ A[0], B[0], X − A[N − 1], Y − B[N − 1] ≤ 10,000.

Copyright 2009–2019 by Codility Limited. All Rights Reserved. Unauthorized copying, publication or disclosure prohibited.

^{2} pieces by making N straight cuts along the first side and N straight cuts along the second side.

For example, a cake with sides X = 6, Y = 7 and arrays A and B such that:

is represented by the figure below.

Write a function:

func Solution(X int, Y int, K int, A []int, B []int) int

For example, given:

the function should return 6, as explained above.

Write an ** efficient** algorithm for the following assumptions:

- N is an integer within the range [1..40,000];
- X and Y are integers within the range [2..400,000,000];
- K is an integer within the range [1..(N+1)*(N+1)];
- each element of array A is an integer within the range [1..X−1];
- each element of array B is an integer within the range [1..Y−1];
- A[I − 1] < A[I] and B[I − 1] < B[I], for every I such that 0 < I < N;
- 1 ≤ A[I] − A[I − 1], B[I] − B[I − 1] ≤ 10,000, for every I such that 0 < I < N;
- 1 ≤ A[0], B[0], X − A[N − 1], Y − B[N − 1] ≤ 10,000.

^{2} pieces by making N straight cuts along the first side and N straight cuts along the second side.

For example, a cake with sides X = 6, Y = 7 and arrays A and B such that:

is represented by the figure below.

Write a function:

class Solution { public int solution(int X, int Y, int K, int[] A, int[] B); }

For example, given:

the function should return 6, as explained above.

Write an ** efficient** algorithm for the following assumptions:

- N is an integer within the range [1..40,000];
- X and Y are integers within the range [2..400,000,000];
- K is an integer within the range [1..(N+1)*(N+1)];
- each element of array A is an integer within the range [1..X−1];
- each element of array B is an integer within the range [1..Y−1];
- A[I − 1] < A[I] and B[I − 1] < B[I], for every I such that 0 < I < N;
- 1 ≤ A[I] − A[I − 1], B[I] − B[I − 1] ≤ 10,000, for every I such that 0 < I < N;
- 1 ≤ A[0], B[0], X − A[N − 1], Y − B[N − 1] ≤ 10,000.

^{2} pieces by making N straight cuts along the first side and N straight cuts along the second side.

For example, a cake with sides X = 6, Y = 7 and arrays A and B such that:

is represented by the figure below.

Write a function:

function solution(X, Y, K, A, B);

For example, given:

the function should return 6, as explained above.

Write an ** efficient** algorithm for the following assumptions:

- N is an integer within the range [1..40,000];
- X and Y are integers within the range [2..400,000,000];
- K is an integer within the range [1..(N+1)*(N+1)];
- each element of array A is an integer within the range [1..X−1];
- each element of array B is an integer within the range [1..Y−1];
- A[I − 1] < A[I] and B[I − 1] < B[I], for every I such that 0 < I < N;
- 1 ≤ A[I] − A[I − 1], B[I] − B[I − 1] ≤ 10,000, for every I such that 0 < I < N;
- 1 ≤ A[0], B[0], X − A[N − 1], Y − B[N − 1] ≤ 10,000.

^{2} pieces by making N straight cuts along the first side and N straight cuts along the second side.

For example, a cake with sides X = 6, Y = 7 and arrays A and B such that:

is represented by the figure below.

Write a function:

fun solution(X: Int, Y: Int, K: Int, A: IntArray, B: IntArray): Int

For example, given:

the function should return 6, as explained above.

Write an ** efficient** algorithm for the following assumptions:

- N is an integer within the range [1..40,000];
- X and Y are integers within the range [2..400,000,000];
- K is an integer within the range [1..(N+1)*(N+1)];
- each element of array A is an integer within the range [1..X−1];
- each element of array B is an integer within the range [1..Y−1];
- A[I − 1] < A[I] and B[I − 1] < B[I], for every I such that 0 < I < N;
- 1 ≤ A[I] − A[I − 1], B[I] − B[I − 1] ≤ 10,000, for every I such that 0 < I < N;
- 1 ≤ A[0], B[0], X − A[N − 1], Y − B[N − 1] ≤ 10,000.

^{2} pieces by making N straight cuts along the first side and N straight cuts along the second side.

For example, a cake with sides X = 6, Y = 7 and arrays A and B such that:

is represented by the figure below.

Write a function:

function solution(X, Y, K, A, B)

For example, given:

the function should return 6, as explained above.

Write an ** efficient** algorithm for the following assumptions:

- N is an integer within the range [1..40,000];
- X and Y are integers within the range [2..400,000,000];
- K is an integer within the range [1..(N+1)*(N+1)];
- each element of array A is an integer within the range [1..X−1];
- each element of array B is an integer within the range [1..Y−1];
- A[I − 1] < A[I] and B[I − 1] < B[I], for every I such that 0 < I < N;
- 1 ≤ A[I] − A[I − 1], B[I] − B[I − 1] ≤ 10,000, for every I such that 0 < I < N;
- 1 ≤ A[0], B[0], X − A[N − 1], Y − B[N − 1] ≤ 10,000.

Note: All arrays in this task are zero-indexed, unlike the common Lua convention. You can use `#A` to get the length of the array A.

^{2} pieces by making N straight cuts along the first side and N straight cuts along the second side.

For example, a cake with sides X = 6, Y = 7 and arrays A and B such that:

is represented by the figure below.

Write a function:

int solution(int X, int Y, int K, NSMutableArray *A, NSMutableArray *B);

For example, given:

the function should return 6, as explained above.

Write an ** efficient** algorithm for the following assumptions:

- N is an integer within the range [1..40,000];
- X and Y are integers within the range [2..400,000,000];
- K is an integer within the range [1..(N+1)*(N+1)];
- each element of array A is an integer within the range [1..X−1];
- each element of array B is an integer within the range [1..Y−1];
- A[I − 1] < A[I] and B[I − 1] < B[I], for every I such that 0 < I < N;
- 1 ≤ A[I] − A[I − 1], B[I] − B[I − 1] ≤ 10,000, for every I such that 0 < I < N;
- 1 ≤ A[0], B[0], X − A[N − 1], Y − B[N − 1] ≤ 10,000.

^{2} pieces by making N straight cuts along the first side and N straight cuts along the second side.

For example, a cake with sides X = 6, Y = 7 and arrays A and B such that:

is represented by the figure below.

Write a function:

function solution(X: longint; Y: longint; K: longint; A: array of longint; B: array of longint; N: longint): longint;

For example, given:

the function should return 6, as explained above.

Write an ** efficient** algorithm for the following assumptions:

- N is an integer within the range [1..40,000];
- X and Y are integers within the range [2..400,000,000];
- K is an integer within the range [1..(N+1)*(N+1)];
- each element of array A is an integer within the range [1..X−1];
- each element of array B is an integer within the range [1..Y−1];
- A[I − 1] < A[I] and B[I − 1] < B[I], for every I such that 0 < I < N;
- 1 ≤ A[I] − A[I − 1], B[I] − B[I − 1] ≤ 10,000, for every I such that 0 < I < N;
- 1 ≤ A[0], B[0], X − A[N − 1], Y − B[N − 1] ≤ 10,000.

^{2} pieces by making N straight cuts along the first side and N straight cuts along the second side.

For example, a cake with sides X = 6, Y = 7 and arrays A and B such that:

is represented by the figure below.

Write a function:

function solution($X, $Y, $K, $A, $B);

For example, given:

the function should return 6, as explained above.

Write an ** efficient** algorithm for the following assumptions:

- N is an integer within the range [1..40,000];
- X and Y are integers within the range [2..400,000,000];
- K is an integer within the range [1..(N+1)*(N+1)];
- each element of array A is an integer within the range [1..X−1];
- each element of array B is an integer within the range [1..Y−1];
- A[I − 1] < A[I] and B[I − 1] < B[I], for every I such that 0 < I < N;
- 1 ≤ A[I] − A[I − 1], B[I] − B[I − 1] ≤ 10,000, for every I such that 0 < I < N;
- 1 ≤ A[0], B[0], X − A[N − 1], Y − B[N − 1] ≤ 10,000.

^{2} pieces by making N straight cuts along the first side and N straight cuts along the second side.

For example, a cake with sides X = 6, Y = 7 and arrays A and B such that:

is represented by the figure below.

Write a function:

sub solution { my ($X, $Y, $K, $A, $B)=@_; my @A=@$A; my @B=@$B; ... }

For example, given:

the function should return 6, as explained above.

Write an ** efficient** algorithm for the following assumptions:

- N is an integer within the range [1..40,000];
- X and Y are integers within the range [2..400,000,000];
- K is an integer within the range [1..(N+1)*(N+1)];
- each element of array A is an integer within the range [1..X−1];
- each element of array B is an integer within the range [1..Y−1];
- A[I − 1] < A[I] and B[I − 1] < B[I], for every I such that 0 < I < N;
- 1 ≤ A[I] − A[I − 1], B[I] − B[I − 1] ≤ 10,000, for every I such that 0 < I < N;
- 1 ≤ A[0], B[0], X − A[N − 1], Y − B[N − 1] ≤ 10,000.

^{2} pieces by making N straight cuts along the first side and N straight cuts along the second side.

For example, a cake with sides X = 6, Y = 7 and arrays A and B such that:

is represented by the figure below.

Write a function:

def solution(X, Y, K, A, B)

For example, given:

the function should return 6, as explained above.

Write an ** efficient** algorithm for the following assumptions:

- N is an integer within the range [1..40,000];
- X and Y are integers within the range [2..400,000,000];
- K is an integer within the range [1..(N+1)*(N+1)];
- each element of array A is an integer within the range [1..X−1];
- each element of array B is an integer within the range [1..Y−1];
- A[I − 1] < A[I] and B[I − 1] < B[I], for every I such that 0 < I < N;
- 1 ≤ A[I] − A[I − 1], B[I] − B[I − 1] ≤ 10,000, for every I such that 0 < I < N;
- 1 ≤ A[0], B[0], X − A[N − 1], Y − B[N − 1] ≤ 10,000.

^{2} pieces by making N straight cuts along the first side and N straight cuts along the second side.

For example, a cake with sides X = 6, Y = 7 and arrays A and B such that:

is represented by the figure below.

Write a function:

def solution(x, y, k, a, b)

For example, given:

the function should return 6, as explained above.

Write an ** efficient** algorithm for the following assumptions:

- N is an integer within the range [1..40,000];
- X and Y are integers within the range [2..400,000,000];
- K is an integer within the range [1..(N+1)*(N+1)];
- each element of array A is an integer within the range [1..X−1];
- each element of array B is an integer within the range [1..Y−1];
- A[I − 1] < A[I] and B[I − 1] < B[I], for every I such that 0 < I < N;
- 1 ≤ A[I] − A[I − 1], B[I] − B[I − 1] ≤ 10,000, for every I such that 0 < I < N;
- 1 ≤ A[0], B[0], X − A[N − 1], Y − B[N − 1] ≤ 10,000.

^{2} pieces by making N straight cuts along the first side and N straight cuts along the second side.

For example, a cake with sides X = 6, Y = 7 and arrays A and B such that:

is represented by the figure below.

Write a function:

object Solution { def solution(x: Int, y: Int, k: Int, a: Array[Int], b: Array[Int]): Int }

For example, given:

the function should return 6, as explained above.

Write an ** efficient** algorithm for the following assumptions:

- N is an integer within the range [1..40,000];
- X and Y are integers within the range [2..400,000,000];
- K is an integer within the range [1..(N+1)*(N+1)];
- each element of array A is an integer within the range [1..X−1];
- each element of array B is an integer within the range [1..Y−1];
- A[I − 1] < A[I] and B[I − 1] < B[I], for every I such that 0 < I < N;
- 1 ≤ A[I] − A[I − 1], B[I] − B[I − 1] ≤ 10,000, for every I such that 0 < I < N;
- 1 ≤ A[0], B[0], X − A[N − 1], Y − B[N − 1] ≤ 10,000.

^{2} pieces by making N straight cuts along the first side and N straight cuts along the second side.

For example, a cake with sides X = 6, Y = 7 and arrays A and B such that:

is represented by the figure below.

Write a function:

public func solution(_ X : Int, _ Y : Int, _ K : Int, _ A : inout [Int], _ B : inout [Int]) -> Int

For example, given:

the function should return 6, as explained above.

Write an ** efficient** algorithm for the following assumptions:

- N is an integer within the range [1..40,000];
- X and Y are integers within the range [2..400,000,000];
- K is an integer within the range [1..(N+1)*(N+1)];
- each element of array A is an integer within the range [1..X−1];
- each element of array B is an integer within the range [1..Y−1];
- A[I − 1] < A[I] and B[I − 1] < B[I], for every I such that 0 < I < N;
- 1 ≤ A[I] − A[I − 1], B[I] − B[I − 1] ≤ 10,000, for every I such that 0 < I < N;
- 1 ≤ A[0], B[0], X − A[N − 1], Y − B[N − 1] ≤ 10,000.

^{2} pieces by making N straight cuts along the first side and N straight cuts along the second side.

For example, a cake with sides X = 6, Y = 7 and arrays A and B such that:

is represented by the figure below.

Write a function:

Private Function solution(X As Integer, Y As Integer, K As Integer, A As Integer(), B As Integer()) As Integer

For example, given:

the function should return 6, as explained above.

Write an ** efficient** algorithm for the following assumptions:

- N is an integer within the range [1..40,000];
- X and Y are integers within the range [2..400,000,000];
- K is an integer within the range [1..(N+1)*(N+1)];
- each element of array A is an integer within the range [1..X−1];
- each element of array B is an integer within the range [1..Y−1];
- A[I − 1] < A[I] and B[I − 1] < B[I], for every I such that 0 < I < N;
- 1 ≤ A[I] − A[I − 1], B[I] − B[I − 1] ≤ 10,000, for every I such that 0 < I < N;
- 1 ≤ A[0], B[0], X − A[N − 1], Y − B[N − 1] ≤ 10,000.

Information about upcoming challenges, solutions and lessons directly in your inbox.

© 2009–2019 Codility Ltd., registered in England and Wales (No. 7048726). VAT ID GB981191408. Registered office: 107 Cheapside, London EC2V 6DN