Big-O Notation

Front

Indicate constant time complexity in terms of Big-O notation

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O(1)

Front

Indicate exponential time complexity in terms of big-O notation

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O (2^n)

Front

Find the slowest time complexity: O (n), O (n^2), O (n!), O (2^n)

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O (n!)

Front

Which notation is consistent for every execution? Options: O (n), O (n^2), O (1), O (2^n)

Back

O (1)

Front

The O (n!) is so inefficient, there is no practical use for it

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False

Front

Which notation grows in proportion to the size of the input? Options: O (n), O (n^2), O (1), O (2^n)

Back

O (n)

Front

Big-O is used to identify the most ____ algorithm for a specific purpose

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Efficient, Time efficient

Front

When calculating the Big-O for an algorithm, which of the following rules is not true?
Focus on the dominant term,
Disregard any constants,
Focus only on polynomials,
Count the number of assignments

Back

Focus only on polynomials

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Front

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n