What are some strategies to improve the time complexity of my algorithms?
You can optimize your algorithms by using more efficient data structures, reducing nested loops, and applying divide-and-conquer techniques.
Can you explain how using a hash table can help?
Certainly! Hash tables allow for average-case constant time complexity for lookups, which can significantly speed up operations compared to linear searches.
What about the divide-and-conquer approach?
Divide-and-conquer breaks a problem into smaller subproblems, solves each recursively, and combines the results, often leading to better time complexity.
Are there any specific algorithms that use this approach?
Yes, algorithms like Merge Sort and Quick Sort utilize the divide-and-conquer strategy to achieve better time complexity.
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