Optimal space lower bounds for all frequency moments
By David P. Woodruff. 2004
191 citations recorded by the source corpus.
Subfields: Algorithms & Complexity
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Algorithms & Complexity
- Oded Regev
- Amit Chakrabarti
- S. Muthu Muthukrishnan
- Qin Zhang
- Graham Cormode
- David P. Woodruff
- Petros Drineas
- Michael J. Kane
Citations in the corpus
- FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness (2022, background): “This type of lower bound over a subrange of 𝑀 is common in the streaming algorithms literature [92].”
- An improved data stream summary: the count-min sketch and its applications (2004, background): “But accurate estimation of the L2 norm of a stream requires Ω( 1 ε(2) ) space [30].”
- Tight bounds for distributed functional monitoring (2011, background): “Implications for the Data Stream Model: In 2003, Indyk and Woodruff introduced the GHD problem [34], where a1-round lower bound shortly followed [50].”
- Handbook of Big Data (2016, background): “For example, one can prove that the Hamming sketch from above is optimal [62,64,94].”
- An optimal algorithm for the distinct elements problem (2010, background): “The problem of space-efficient F0-estimation is well-studied, beginning with the work of Flajolet and Martin [20], and continuing with a long line of research, [3, 4, 5, 6, 9, 12, 16, 17, 19, 23, 24, 26, 36].”
- An optimal lower bound on the communication complexity of gap-hamming-distance (2010, methodology): “Woodruff [Woo04] soon followed up with an Ω ( n ) bound for GHD itself, still in the one-way model; the proof used rather intricate combinatorial constructions and computations.”