Height complexity

Height complexity refers to how difficult it is to analyze or compute properties of a hierarchical structure, like a tree, based on its height—the length of the longest path from the root to a leaf. Structures with high height tend to be more complex because they have many levels, making certain calculations or processes, like searching or balancing, more challenging and time-consuming. Conversely, shorter structures are generally easier to manage. Understanding height complexity helps in designing efficient algorithms and data structures by anticipating how their organization affects performance.