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The time complexity of an algorithm is commonly expressed using big O notation, which excludes coefficients and lower order terms. When expressed this way, the time complexity is said to be described asymptotically, i.e., as the input size goes to infinity.

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The time complexity of an algorithm is commonly expressed using big O notation, which excludes coefficients and lower order terms. When expressed this way, the time complexity is said to be described asymptotically, i.e., as the input size goes to infinity.

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The&nbsp;time complexity&nbsp;of an algorithm is commonly expressed using big O notation, which excludes coefficients and lower order terms. When expressed this way, the&nbsp;time complexity&nbsp;is said to be described asymptotically, i.e., as the input size goes to infinity.

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The time complexity of an algorithm is commonly expressed using big O notation, which excludes coefficients and lower order terms. When expressed this way, the time complexity is said to be described asymptotically, i.e., as the input size goes to infinity.