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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 2009–2019 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 2009–2019 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 2009–2019 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:

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].

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