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Stock Prediction
Stock Prediction
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This code calculates the number of different teams you can form by selecting a certain number of lemurs from a group. It considers scenarios like choosing none or all. The result is given modulo (10^8+7). Thanks for this helpful code; it's been valuable for my stock-related website https://www.nationalpatiocovers.com/
This problem-solving task for George's stock options is brilliantly presented with a clear input format and concise output requirements. The sample input and output help illustrate the problem effectively. The constraints provide useful information about the problem's scale. Overall, this task is well-structured and engaging, making it easy to understand and implement. Great job!
Kudos to this problem statement for presenting a real-world scenario and a clear task. It challenges us to find optimal stock options using a well-defined algorithm. A great exercise for coding and problem-solving skills!
It was great fun to solve this problem. While I found this problem quite challenging, it also helped me learn how to deal with challenges of different kinds. I am Climate Stock Expert. I share stock analysis and investment tips.
I really enjoyed this problem. I found it quite challenging.
For small arrays, it has a trivial solution: just start from d and loop left and right until you find a price that is out of range. That algorithm is O(n) and times out in 9, 10 and 11. With that algorithm, the worst case scenario is when you have a very large array and you cover it from beginning to end every query.
To solve it, you need to find a way to perform each query in O( log n). To do that, you need to preprocess the list and create a data structure that supports such queries. If you do the right algorithm, then the query that covers the entire list is the best case scenario and can be solved in O(1)