feat: batch_rhs (multi-RHS MatMatSolve) + adaptive_sweep#5
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batch_rhs: per frequency, assemble all excitations' RHS and apply the stored factorization in one MatMatSolve (BLAS3) instead of one triangular solve per antenna — measured 2.9-6.2x on the solve phase standalone. Direct preonly solves only; auto-disabled under sweep_mode/iterative. adaptive_sweep: error-controlled frequency sampling — seed solves, greedy largest-gap refinement with per-solve prediction verification (2 consecutive under tol ends the sweep), cubic-spline interpolation of the remaining S rows. S-parameters only; skipped frequencies store no fields. Worst case degrades to solving all frequencies, never to wrong answers. Both opt-in via solver_settings; default behavior unchanged. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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Two opt-in solver_settings features, validated end-to-end (bench/V2-RESULTS-2026-07-14.md):
Headline at 2.26M DOFs / Nf=22 / 3 antennas / 8 ranks, same box: stock LU 1,473 s / 19.6 GB → LDLT+batch+adaptive 285 s / 11.6 GB (5.2×); fp32 stack + adaptive = 843 s / 5.9 GB (0.30×). Cableport regression PASS; defaults unchanged (both features off unless requested).
🤖 Generated with Claude Code