The Art of Computer Programming, Volume 4, Fascicle 2: Generating All Tuples and Permutations (Art of Computer Programming)
By Donald Ervin Knuth. 2005
404 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/43355917bdfeecc08c64acfcbc2ea7ddbd1a806b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Paolo Boldi
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- Percy Liang
- Daniel Selsam
- Marco Rosa
- David L. Dill
- Massimo Santini
- Yoshua Bengio
Citations in the corpus
- Processing Data Where It Makes Sense: Enabling In-Memory Computation (2019, background): “ks,RowClone reduces the energyconsumptionbetween 15% and 69%. 5.1.2. Ambit Inadditiontobulkdatamovement,manyapplications trigger bulk bitwise operations, i.e., bitwise operations on large bit vectors [158, 159]. Examples of such applications include bitmap indices [160, 161, 162, 163] andbitwise sca”
- Layered label propagation: a multiresolution coordinate-free ordering for compressing social networks (2010, background): “Recall that [14] an n-bit Gray ordering is a total order on the set of the 2n binary n-bit vectors such that any two successive vectors differ in exactly one position.”
- Learning a SAT Solver from Single-Bit Supervision (2018, methodology): “…with u sampled at random for each problem from a collection of three unsat cores ranging from three clauses to nine clauses: the unsat core R from Knuth (2015), and the two unsat cores resulting from encoding the pigeonhole principles PP(2, 1) and PP(3, 2).7 We trained our architecture on this…”