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:

Future Mobility

PAST CHALLENGES

Grand Challenge

Decoding Master

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 a pair (P, Q), such that A[P] <= A[Q] and the value Q - P is maximal.

Programming language:
Spoken language:

A non-empty array A consisting of N integers is given.

A *monotonic pair* is a pair of integers (P, Q), such that 0 ≤ P ≤ Q < N and A[P] ≤ A[Q].

The goal is to find the monotonic pair whose indices are the furthest apart. More precisely, we should maximize the value Q − P. It is sufficient to find only the distance.

For example, consider array A such that:

There are eleven monotonic pairs: (0,0), (0, 2), (1, 1), (1, 2), (1, 3), (1, 4), (2, 2), (3, 3), (3, 4), (4, 4), (5, 5). The biggest distance is 3, in the pair (1, 4).

Write a function:

int solution(int A[], int N);

that, given a non-empty array A of N integers, returns the biggest distance within any of the monotonic pairs.

For example, given:

the function should return 3, as explained above.

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

- N is an integer within the range [1..300,000];
- each element of array A is an integer within the range [−1,000,000,000..1,000,000,000].

Copyright 2009–2018 by Codility Limited. All Rights Reserved. Unauthorized copying, publication or disclosure prohibited.

A non-empty array A consisting of N integers is given.

A *monotonic pair* is a pair of integers (P, Q), such that 0 ≤ P ≤ Q < N and A[P] ≤ A[Q].

The goal is to find the monotonic pair whose indices are the furthest apart. More precisely, we should maximize the value Q − P. It is sufficient to find only the distance.

For example, consider array A such that:

There are eleven monotonic pairs: (0,0), (0, 2), (1, 1), (1, 2), (1, 3), (1, 4), (2, 2), (3, 3), (3, 4), (4, 4), (5, 5). The biggest distance is 3, in the pair (1, 4).

Write a function:

int solution(vector<int> &A);

that, given a non-empty array A of N integers, returns the biggest distance within any of the monotonic pairs.

For example, given:

the function should return 3, as explained above.

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

- N is an integer within the range [1..300,000];
- each element of array A is an integer within the range [−1,000,000,000..1,000,000,000].

Copyright 2009–2018 by Codility Limited. All Rights Reserved. Unauthorized copying, publication or disclosure prohibited.

A non-empty array A consisting of N integers is given.

A *monotonic pair* is a pair of integers (P, Q), such that 0 ≤ P ≤ Q < N and A[P] ≤ A[Q].

The goal is to find the monotonic pair whose indices are the furthest apart. More precisely, we should maximize the value Q − P. It is sufficient to find only the distance.

For example, consider array A such that:

There are eleven monotonic pairs: (0,0), (0, 2), (1, 1), (1, 2), (1, 3), (1, 4), (2, 2), (3, 3), (3, 4), (4, 4), (5, 5). The biggest distance is 3, in the pair (1, 4).

Write a function:

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

that, given a non-empty array A of N integers, returns the biggest distance within any of the monotonic pairs.

For example, given:

the function should return 3, as explained above.

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

- N is an integer within the range [1..300,000];
- each element of array A is an integer within the range [−1,000,000,000..1,000,000,000].

Copyright 2009–2018 by Codility Limited. All Rights Reserved. Unauthorized copying, publication or disclosure prohibited.

A non-empty array A consisting of N integers is given.

A *monotonic pair* is a pair of integers (P, Q), such that 0 ≤ P ≤ Q < N and A[P] ≤ A[Q].

For example, consider array A such that:

Write a function:

func Solution(A []int) int

For example, given:

the function should return 3, as explained above.

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

- N is an integer within the range [1..300,000];
- each element of array A is an integer within the range [−1,000,000,000..1,000,000,000].

A non-empty array A consisting of N integers is given.

A *monotonic pair* is a pair of integers (P, Q), such that 0 ≤ P ≤ Q < N and A[P] ≤ A[Q].

For example, consider array A such that:

Write a function:

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

For example, given:

the function should return 3, as explained above.

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

- N is an integer within the range [1..300,000];
- each element of array A is an integer within the range [−1,000,000,000..1,000,000,000].

A non-empty array A consisting of N integers is given.

A *monotonic pair* is a pair of integers (P, Q), such that 0 ≤ P ≤ Q < N and A[P] ≤ A[Q].

For example, consider array A such that:

Write a function:

function solution(A);

For example, given:

the function should return 3, as explained above.

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

- N is an integer within the range [1..300,000];
- each element of array A is an integer within the range [−1,000,000,000..1,000,000,000].

A non-empty array A consisting of N integers is given.

A *monotonic pair* is a pair of integers (P, Q), such that 0 ≤ P ≤ Q < N and A[P] ≤ A[Q].

For example, consider array A such that:

Write a function:

function solution(A)

For example, given:

the function should return 3, as explained above.

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

- N is an integer within the range [1..300,000];
- each element of array A is an integer within the range [−1,000,000,000..1,000,000,000].

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.

A non-empty array A consisting of N integers is given.

A *monotonic pair* is a pair of integers (P, Q), such that 0 ≤ P ≤ Q < N and A[P] ≤ A[Q].

For example, consider array A such that:

Write a function:

int solution(NSMutableArray *A);

For example, given:

the function should return 3, as explained above.

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

- N is an integer within the range [1..300,000];
- each element of array A is an integer within the range [−1,000,000,000..1,000,000,000].

A non-empty array A consisting of N integers is given.

A *monotonic pair* is a pair of integers (P, Q), such that 0 ≤ P ≤ Q < N and A[P] ≤ A[Q].

For example, consider array A such that:

Write a function:

function solution(A: array of longint; N: longint): longint;

For example, given:

the function should return 3, as explained above.

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

- N is an integer within the range [1..300,000];
- each element of array A is an integer within the range [−1,000,000,000..1,000,000,000].

A non-empty array A consisting of N integers is given.

A *monotonic pair* is a pair of integers (P, Q), such that 0 ≤ P ≤ Q < N and A[P] ≤ A[Q].

For example, consider array A such that:

Write a function:

function solution($A);

For example, given:

the function should return 3, as explained above.

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

- N is an integer within the range [1..300,000];
- each element of array A is an integer within the range [−1,000,000,000..1,000,000,000].

A non-empty array A consisting of N integers is given.

A *monotonic pair* is a pair of integers (P, Q), such that 0 ≤ P ≤ Q < N and A[P] ≤ A[Q].

For example, consider array A such that:

Write a function:

sub solution { my (@A)=@_; ... }

For example, given:

the function should return 3, as explained above.

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

- N is an integer within the range [1..300,000];
- each element of array A is an integer within the range [−1,000,000,000..1,000,000,000].

A non-empty array A consisting of N integers is given.

A *monotonic pair* is a pair of integers (P, Q), such that 0 ≤ P ≤ Q < N and A[P] ≤ A[Q].

For example, consider array A such that:

Write a function:

def solution(A)

For example, given:

the function should return 3, as explained above.

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

- N is an integer within the range [1..300,000];
- each element of array A is an integer within the range [−1,000,000,000..1,000,000,000].

A non-empty array A consisting of N integers is given.

A *monotonic pair* is a pair of integers (P, Q), such that 0 ≤ P ≤ Q < N and A[P] ≤ A[Q].

For example, consider array A such that:

Write a function:

def solution(a)

For example, given:

the function should return 3, as explained above.

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

- N is an integer within the range [1..300,000];
- each element of array A is an integer within the range [−1,000,000,000..1,000,000,000].

A non-empty array A consisting of N integers is given.

A *monotonic pair* is a pair of integers (P, Q), such that 0 ≤ P ≤ Q < N and A[P] ≤ A[Q].

For example, consider array A such that:

Write a function:

object Solution { def solution(a: Array[Int]): Int }

For example, given:

the function should return 3, as explained above.

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

- N is an integer within the range [1..300,000];
- each element of array A is an integer within the range [−1,000,000,000..1,000,000,000].

A non-empty array A consisting of N integers is given.

A *monotonic pair* is a pair of integers (P, Q), such that 0 ≤ P ≤ Q < N and A[P] ≤ A[Q].

For example, consider array A such that:

Write a function:

public func solution(inout A : [Int]) -> Int

For example, given:

the function should return 3, as explained above.

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

- N is an integer within the range [1..300,000];
- each element of array A is an integer within the range [−1,000,000,000..1,000,000,000].

A non-empty array A consisting of N integers is given.

A *monotonic pair* is a pair of integers (P, Q), such that 0 ≤ P ≤ Q < N and A[P] ≤ A[Q].

For example, consider array A such that:

Write a function:

public func solution(_ A : inout [Int]) -> Int

For example, given:

the function should return 3, as explained above.

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

- N is an integer within the range [1..300,000];
- each element of array A is an integer within the range [−1,000,000,000..1,000,000,000].

A non-empty array A consisting of N integers is given.

A *monotonic pair* is a pair of integers (P, Q), such that 0 ≤ P ≤ Q < N and A[P] ≤ A[Q].

For example, consider array A such that:

Write a function:

Private Function solution(A As Integer()) As Integer

For example, given:

the function should return 3, as explained above.

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

- N is an integer within the range [1..300,000];
- each element of array A is an integer within the range [−1,000,000,000..1,000,000,000].

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

© 2009–2018 Codility Ltd., registered in England and Wales (No. 7048726). VAT ID GB981191408. Registered office: 107 Cheapside, London EC2V 6DN