Question: In applications involving the use of quadtrees in memory-constrained devices, such as smartphones, we often want to optimize the data structure to make it more

In applications involving the use of quadtrees in memory-constrained devices, such as smartphones, we often want to optimize the data structure to make it more space efficient. One obvious improvement is to take a standard quadtree, T, and replace each chain of nodes having only one child with a single edge. This gives us a data structure known as the compressed quadtree. Describe an efficient method for constructing a compressed quadtree for a set of n two-dimensional points. What is the time and space complexity for your algorithm?

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