Often when working with maximum likelihood functions, out of ease we maximize the log-likelihood rather than the

Question:

Often when working with maximum likelihood functions, out of ease we maximize the log-likelihood rather than the likelihood to find the maximum likelihood estimator. Why is maximizing L(x; θ) as a function of θ equivalent to maximizing log L(x; θ)?

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