How does a condensed array differ from a regular array?

A condensed array is designed to manage data in a way that optimizes storage and speed by allowing for the addition of items in bulk rather than one at a time. This characteristic is crucial in scenarios where performance and efficiency are priorities, particularly when dealing with large datasets. By allowing items to be added all at once, condensed arrays can minimize overhead and improve the speed of operations that involve multiple elements, as opposed to regular arrays which typically involve a more sequential and potentially less efficient handling of individual elements.

Additionally, the concept of implicit storage relates to how these items are stored in memory; the design often focuses on making efficient use of available space without requiring the explicit allocation and deallocation of memory for each new element. This contrasts with standard arrays that might require upfront, fixed-size allocation and potentially lead to wasted space if not fully utilized or lead to complications when resizing is needed.

This approach makes condensed arrays particularly useful in applications where data sets need to be manipulated or stored effectively without the constant need for manual memory management typically associated with regular arrays. Thus, this bulk addition method accentuates the condensed array's utility in performance-critical applications.