A new polynomial-time variant of LLL with deep insertions for decreasing the squared-sum of Gram-Schmidt lengths.
Masaya YasudaJunpei YamaguchiPublished in: Des. Codes Cryptogr. (2019)
Keyphrases
- min sum
- special case
- least squares
- low density
- objective function
- weighted sum
- computational complexity
- euclidean distance
- aggregation functions
- case study
- lower bound
- constant factor approximation algorithm
- square error
- deep learning
- database
- search algorithm
- decision trees
- information systems
- machine learning
- data mining
- data sets
- real time