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Signed p-adic Residual Encodings of Finite-Domain All-Different Systems with a Sudoku Case Study

Baker, Greg
arXiv (OAI Expanded) · Papers
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machine-learning
We study signed, weighted affine $p$-adic residual objectives as native encodings of finite-domain constraints. For primes that separate the finite alphabet, sufficiently weighted positive unary rows pin each coefficient to its allowed set, while negative rows reward unequal endpoints or clause sati
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