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⏲ Duration: 2 min 20 sec
✓ Published: 21-Sep-2015
✓ Published: 21-Sep-2015
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This video is about Big O Notation: A Few ExamplesnnTime complexity is commonly estimated by counting the number of elementary operations (elementary operation = an operation that takes a fixed amount of time to preform) performed in the algorithm.nnTime complexity is classified by the nature of the function T(n). O represents the function, and (n) represents the number of elements to be acted on. nnWorst-case time complexity, the longest it could possibly take with any valid input, is the most
This video is about Big O Notation: A Few ExamplesnnTime complexity is commonly estimated by counting the number of elementary operations (elementary operation = an operation that takes a fixed amount of time to preform) performed in the algorithm.nnTime complexity is classified by the nature of the function T(n). O represents the function, and (n) represents the number of elements to be acted on. nnWorst-case time complexity, the longest it could possibly take with any valid input, is the most
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