docs: recommend MultiStartProdigy as the default JAX optimizer (parametric sources)#84
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Make MultiStartProdigy the default recommendation when a user wants a JAX gradient optimizer / fast MAP point estimate, in the al_configure_search skill and the wiki/core search concept + catalogue pages. Document the multi-start family (Prodigy recommended, Adam the GIGA-Lens original, ADABelief alternative) and credit GIGA-Lens (Gu, Huang et al. 2022) for the multi-start approach plus the Prodigy paper. State that these work for parametric sources (MGE, Sersic) but not yet pixelised sources (non-finite gradient regions), which is ongoing work — for pixelised fits recommend Nautilus. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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Makes
MultiStartProdigythe assistant's default recommendation when a user asks for a JAX gradient optimizer / fast MAP point estimate.Files:
skills/al_configure_search.md— new "Branch — MultiStartProdigy (JAX gradient optimizer, parametric sources)" section with the recommendation logic; frontmatter description and "Other searches" pointer updated.wiki/core/concepts/non_linear_search.md— MultiStartProdigy added to the optimisation family + a "when to use which" row + a parametric/pixelised callout.wiki/core/api/searches.md—af.MultiStartProdigycatalogue entry (family, deps, source path) + at-a-glance row +multi_start_gradient/source path.Consistent framing everywhere:
Note:
wiki/core/edits are maintainer docs work (explicitly requested);last_updatedbumped on both pages.euclid_assistanthas no search-configuration content, so nothing to mirror there.🤖 Generated with Claude Code