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REPORTS > AUTHORS > HENRIQUE NAVAS:
All reports by Author Henrique Navas:

TR26-222 | 30th September 2026
Dean Doron, Tal Leonov, Jonathan Mosheiff, Henrique Navas, Nicolas Resch, Joao Ribeiro

Discrepancy for Random Linear Codes

We show that random linear codes possess nearly optimal discrepancy-type properties in a broad range of settings. Our main results are two general discrepancy theorems: one controls all translates of a fixed test, and the other controls large families of Fourier-pseudorandom tests. Two motivating applications follow:

First, random linear codes ... more >>>




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