
doi: 10.1007/bf01934693
We present a simple dynamization method that preserves the query and storage costs of a static data structure and ensures reasonable update costs. In this method, the majority of data elements are maintained in a single data structure, and the updates are handled using ``smaller'' auxiliary data structures. We analyze the query, storage, and amortized update costs for the dynamic version of a static data structure in terms of a function f, such that \(f(n)
Data structures, multiple attribute trees, merging cost, K- d trees, quadtrees, query and storage costs, Voronoi diagrams, amortized insertion and deletion costs, update costs, merging of two data structures
Data structures, multiple attribute trees, merging cost, K- d trees, quadtrees, query and storage costs, Voronoi diagrams, amortized insertion and deletion costs, update costs, merging of two data structures
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