Deep learning-based approximation of Goldbach partition function

DOI10.1142/S1793830921501524zbMath1495.11117OpenAlexW3202952117MaRDI QIDQ5101877

Eunmi Kim

Publication date: 2 September 2022

Published in: Discrete Mathematics, Algorithms and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s1793830921501524

zbMATH Keywords

approximationdeep learningGoldbach partition function

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Goldbach-type theorems; other additive questions involving primes (11P32)

Uses Software

• Adam

Cites Work

• An Upper Bound in Goldbach's Problem
• The exceptional set of Goldbach's problem
• The ternary Goldbach problem
• Empirical verification of the even Goldbach conjecture and computation of prime gaps up to 4⋅10¹⁸
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