Algorithms and Lower Bounds in the Streaming and Sparse Recovery Models

In the data stream computation model, input data is given to us sequentially (the data stream), and our goal is to compute or approximate some function or statistic on that data using a sublinear (in both the length of the stream and the size of the universe of items that can appear in the stream) amount of space; in particular, we can store neither the… CONTINUE READING