A $$2^{n/2}$$-Time Algorithm for $$\sqrt{n}$$-SVP and $$\sqrt{n}$$-Hermite SVP, and an Improved Time-Approximation Tradeoff for (H)SVP

Author:

Aggarwal Divesh,Li Zeyong,Stephens-Davidowitz Noah

Publisher

Springer International Publishing

Reference36 articles.

1. Aggarwal, D., Dadush, D., Regev, O., Stephens-Davidowitz, N.: Solving the shortest vector problem in $$2^n$$ time via discrete gaussian sampling. In: STOC (2015). http://arxiv.org/abs/1412.7994

2. Ajtai, M., Kumar, R., Sivakumar, D.: A sieve algorithm for the shortest lattice vector problem. In: STOC (2001)

3. Lecture Notes in Computer Science;D Aggarwal,2020

4. Alon, N., Spencer, J.H.: The Probabilistic Method. Wiley, Hoboken (2004)

5. Aggarwal, D., Stephens-Davidowitz, N.: Just take the average! An embarrassingly simple $$2^n$$-time algorithm for SVP (and CVP). In: SOSA (2018). http://arxiv.org/abs/1709.01535

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