The cell probe complexity of dynamic data structures
STOC '89 Proceedings of the twenty-first annual ACM symposium on Theory of computing
On the cell probe complexity of polynomial evaluation
Theoretical Computer Science
Communication complexity
On data structures and asymmetric communication complexity
Journal of Computer and System Sciences
Lower bounds for high dimensional nearest neighbor search and related problems
STOC '99 Proceedings of the thirty-first annual ACM symposium on Theory of computing
Journal of the ACM (JACM)
Complexity measures and decision tree complexity: a survey
Theoretical Computer Science - Complexity and logic
Optimal bounds for the predecessor problem and related problems
Journal of Computer and System Sciences - STOC 1999
Hardness Results for Dynamic Problems by Extensions of Fredman and Saks' Chronogram Method
ICALP '98 Proceedings of the 25th International Colloquium on Automata, Languages and Programming
Tighter lower bounds for nearest neighbor search and related problems in the cell probe model
Journal of Computer and System Sciences - Special issue on STOC 2000
Cell-probe lower bounds for the partial match problem
Journal of Computer and System Sciences - Special issue: STOC 2003
Logarithmic Lower Bounds in the Cell-Probe Model
SIAM Journal on Computing
Time-space trade-offs for predecessor search
Proceedings of the thirty-eighth annual ACM symposium on Theory of computing
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We study the nondeterministic cell-probe complexity of static data structures. We introduce cell-probe proofs (CPP), a proof system for the cell-probe model, which describes verification instead of computation in the cell-probe model. We present a combinatorial characterization of CPP. With this novel tool, we prove the following lower bounds for the nondeterministic cell-probe complexity of static data structures. –There exists a data structure problem with high nondeterministic cell-probe complexity. –For the exact nearest neighbor search (NNS) problem or the partial match problem in high dimensional Hamming space, for any data structure with Poly(n) cells, each of which contains O(nC) bits where C d/log n)), where d is the dimension and n is the number of points in the data set. –For the polynomial evaluation problem of d-degree polynomial over finite field of size 2k where d ≤ 2k, for any data structure with s cells, each of which contains b bits, the nondeterministic cell-probe complexity is at least min ((k/b (d − 1)), (k−log(d−1)/logs)).