What are some best practices for algorithm design?
Some best practices include understanding the problem thoroughly, breaking it down into smaller parts, and considering time and space complexity.
Can you explain why time and space complexity are important?
Time complexity helps us understand how the runtime of an algorithm grows with input size, while space complexity measures the memory usage.
What are some common algorithms I should know?
Common algorithms include sorting algorithms like QuickSort and MergeSort, as well as search algorithms like Binary Search.
How do I choose the right algorithm for a problem?
Consider the problem requirements, input size, and constraints. Analyze the trade-offs between different algorithms.
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