We use cookies to ensure you have the best browsing experience on our website. Please read our cookie policy for more information about how we use cookies.
- Prepare
- Algorithms
- Greedy
- Goodland Electricity
- Discussions
Goodland Electricity
Goodland Electricity
Sort by
recency
|
139 Discussions
|
Please Login in order to post a comment
The approach outlined provides a systematic method to determine the minimum number of power plants required for comprehensive coverage in Goodland. By iteratively identifying the farthest suitable city within the specified range from the current position, the algorithm ensures efficient coverage while minimizing the number of power plants needed. This systematic process, coupled with careful consideration of each city's coverage status, guarantees thorough coverage across all cities. Moreover, the algorithm's ability to detect scenarios where complete coverage cannot be achieved ensures robustness and accuracy in determining the optimal solution. Overall, this method offers a reliable and effective means for the government of Goodland to strategically deploy power plants and fulfill the electricity needs of its cities.
In the country of Goodland, there are cities evenly spaced along a line, and some are suitable for power plants while others are not. The government needs to know the minimum number of power plants needed to provide electricity to all cities within a certain range.
Here's a summary of the steps:
Start with zero power plants. Look for the farthest suitable city within the given range from the current position. If found, mark it as covered and move to the next uncovered city. Repeat steps 2 and 3 until all cities are covered. Count the number of power plants used. If any city cannot be covered, return -1. This algorithm calculates the minimum number of power plants needed for complete coverage.
Javascript resolution
always jumped to the most distante city within k, and checked backwards if there was a possible power plant, if checking reached index 0 or the currentIndex reached back the last possible plant without findind another possible plant return -1
whenever finding a plant jump to the next maximun possible city within 2 power plants reach (the recently found and a possible one at 2 * k - 1, beacuse k has to account for the powerplant city itself) of distance, so no unnecessary power plant is counted.
the lookup stops if the last city found is close enough to the last one
O(n), there's a nested while loop but it's actually O(n)