In front-end development, space and time complexity can arise in various cases, such as:
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DOM manipulation: The time complexity of inserting or removing elements from the DOM can vary depending on the size of the DOM and the specific operation being performed. For example, inserting an element at the end of a large DOM tree could have a time complexity of O(n), while inserting an element at the beginning of a linked list could have a time complexity of O(1).
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Sorting and searching algorithms: Sorting and searching algorithms can have different space and time complexity depending on the specific algorithm used. For example, the time complexity of the QuickSort algorithm is typically O(n log n), while the space complexity is O(log n). On the other hand, the time and space complexity of the Linear Search algorithm is O(n).
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Data storage: The space complexity of storing data can vary depending on the data structure used. For example, using