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Theoretical analysis reveals complete weight distributions for affine-half extensions of partial-spread minimal binary codes, highlighting exact solutions for constrained coordinate optimization.
In this paper, we derive complete weight distributions and solve constrained optimization problems for affine-half coordinate extensions of a known family of partial-spread minimal binary codes. The extended code has length 2m+2m−1−1 and dimension m+1, and it remains minimal. The repetition step and its preservation of minimality are elementary; the principal results instead consist of an affine Walsh-sum identity, exact translation incidence counts, and the resulting complete weight distributions when the affine normal lies inside or outside the union of the dual-spread components. The construction and weight distributions hold for 2≤r≤2t−1. In the principal range 2≤r≤2t−2, where m=2t, we characterize every optimal coordinate set for each prescribed extension size and solve the affine-half optimization exactly.
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Chung et al. (2026) studied this question.
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