There are several cities in a row hackerrank solution is a popular coding problem that challenges programmers to find the number of cities in a consecutive sequence. This problem requires a thorough understanding of algorithms and data structures to efficiently solve it. In this article, I’ll discuss the problem statement and provide a step-by-step approach to tackle it.
The task is to determine the maximum number of cities that can be visited consecutively without skipping any city. Given an array representing the population of each city, we need to find the length of the longest contiguous subarray where all elements are non-decreasing or non-increasing.
There Are a Number of Cities in a Row Hackerrank Solution
To effectively solve the “There are a number of cities in a row” problem on Hackerrank, it’s crucial to start by analyzing its requirements and constraints. This step involves understanding the given problem statement, input format, and expected output format. By carefully examining the problem description and sample inputs provided, we can gain insights into what needs to be achieved.
For this specific problem, we’re tasked with determining the maximum possible distance between two cities in a row while satisfying certain conditions. It’s important to note that each city has an associated population value, which adds an additional layer of complexity to our analysis. By considering these details, we can devise an appropriate plan for solving the problem efficiently.
Identify the Key Components
After analyzing the problem statement, it becomes essential to identify key components that will play a vital role in finding the solution. In this case, there are several elements that require attention:
- Cities: The main entities involved in determining distances.
- Distances: The measure of separation between cities.
- Population: A factor influencing distance calculations.
- Constraints: Any limitations or rules imposed by the problem.
By breaking down the problem into these key components, we can better understand their relationships and how they contribute to solving it effectively.
Implementation of the Solution
Let’s dive into the implementation details of the “There are a number of cities in a row” problem on Hackerrank. I’ll walk you through the steps and provide insights to help you understand the solution better.
First, let’s recap the problem statement: Given an array of integers representing cities in a row, we need to find the minimum cost required to make all cities have equal populations. The cost is determined by moving citizens from one city to its adjacent city.
To solve this problem efficiently, we can follow these steps:
- Calculate the total population: Iterate over the array and sum up all the elements. This will give us the total population across all cities.
- Find the target population per city: Divide the total population by the number of cities to determine how many people each city should ideally have after balancing them out.
- Compute the minimum cost: Iterate over each city and calculate how many people need to be moved from that city to its adjacent ones in order to reach the target population. Keep track of this cumulative cost as you go through each city.
- Return the minimum cost: Once you’ve iterated through all cities, return this cumulative cost as your final answer.
In conclusion, refining an initial solution by reducing redundant calculations, considering alternative approaches, and evaluating performance improvements is key to optimizing the “There Are a Number of Cities in a Row” problem on Hackerrank. By continuously iterating and improving our solution, we can achieve more efficient code that solves the problem effectively.
