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Lecture Description
This lecture is the first of two about succinct data structures-data structures using very close to the minimum amount of space ("just the data"). In particular, we'll see how to store an n-node binary trie in 2n + o(n) bits (which is optimal up to the little-oh term) and still be able to navigate to a node's left child / right child / parent in constant time per operation, as well as be able to compute the size of the subtree rooted at a node in constant time. Along the way, we'll see how to store an n-bit string in n + o(n) bits (which is again optimal up to little-oh) and be able to compute the number of 1 bits left of a given bit, and find the ith 1 bit, in constant time per operation. These data structures form the basis of many succinct data structures.



