Abstract: In this paper, we analyze several variants of a simple method for generating prime numbers with fewer random bits. To generate a prime p less than x, the basic idea is to fix a constant q ∝ ...
Section 1 established the experimental design (H=10³⁰, N=10⁸, K=29). This section details the computational implementation: how we apply the optimization framework from Papers 76-80, implement the ...
If your SageMath Python version is older than 3.9.0, some features in some scripts might not work. Then you can simply execute the file using Sage. It does not matter where you execute it from, the ...
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Section 0 established the motivation for Phase 2 experiments at H=10³⁰. This section details the experimental design: how we select heights, determine sample sizes ...
In this research, the optimal patches are selected by the developed Pelican gradient descent optimization patch (PGDOpatch), which is modeled by hybridizing the Pelican optimization algorithm (POA) ...
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