DASHähnliche

DASHähnliche refers to a family of data structures and algorithms that share similarities with the Dynamic Array or ArrayList, commonly known as a "DASH" in some contexts. These structures typically provide dynamic resizing capabilities, allowing them to grow or shrink as elements are added or removed, without requiring the user to pre-allocate a fixed-size array. The core concept is that of a contiguous block of memory that can be expanded when it becomes full, often by allocating a larger block and copying the existing elements over.

The term "DASHähnliche" suggests a resemblance or likeness to such dynamic arrays. This could encompass various implementations or variations found in different programming languages or libraries. While the underlying principles are similar, specific implementations might differ in their resizing strategies (e.g., doubling the capacity, increasing by a fixed factor, or a more complex growth heuristic), their performance characteristics for certain operations like insertion or deletion at arbitrary positions, and their memory usage patterns.

These data structures are fundamental in computer science due to their flexibility and generally good average-case performance for common operations. They are often used as the basis for higher-level data structures or directly for storing collections of elements where the size is not known in advance. The efficiency of operations like appending an element is typically amortized constant time, meaning that while occasional resizing operations can be costly, the average cost over many appends remains low.