find max Algorithm

The Find Max Algorithm is a fundamental search technique used in computer science and programming for locating the maximum value within a data set, such as an array or list. This algorithm iterates through each element in the data structure, comparing the current maximum value with the value of the current element. If the current element is greater than the existing maximum value, the maximum value is updated to the current element's value. The process continues until all elements in the data set have been compared, resulting in the identification of the maximum value. The Find Max Algorithm has a linear time complexity of O(n), where n represents the number of elements in the data set, as it requires a single pass through the entire list. This makes the algorithm relatively efficient for small data sets, but it can become more time-consuming when dealing with large, unsorted data sets. Despite this, the Find Max Algorithm remains an essential and straightforward tool for solving a wide range of problems in computer science and programming, including finding the largest number in a list, identifying the maximum value in a numerical simulation, or determining the highest-scoring player in a game.
# NguyenU


def find_max(nums):
    """
    >>> for nums in ([3, 2, 1], [-3, -2, -1], [3, -3, 0], [3.0, 3.1, 2.9]):
    ...     find_max(nums) == max(nums)
    True
    True
    True
    True
    """
    max_num = nums[0]
    for x in nums:
        if x > max_num:
            max_num = x
    return max_num


def main():
    print(find_max([2, 4, 9, 7, 19, 94, 5]))  # 94


if __name__ == "__main__":
    main()

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