Efficient algorithms are crucial for solving problems quickly and with minimal resources.
Big O notation provides an upper bound on the time complexity of an algorithm.
Common algorithm complexities ranked from best to worst include linear search, binary search, selection sort, bubble sort, and merge sort.
Algorithms exist not only in computing but also in nature and biology, influencing processes such as biochemical regulation in the human body and decision-making in animals.