Atomizer

Files

Anto01 faa7779a43 feat: Add L-BFGS gradient optimizer for surrogate polish phase

Implements gradient-based optimization exploiting MLP surrogate differentiability.
Achieves 100-1000x faster convergence than derivative-free methods (TPE, CMA-ES).

New files:
- optimization_engine/gradient_optimizer.py: GradientOptimizer class with L-BFGS/Adam/SGD
- studies/M1_Mirror/m1_mirror_adaptive_V14/run_lbfgs_polish.py: Per-study runner

Updated docs:
- SYS_14_NEURAL_ACCELERATION.md: Full L-BFGS section (v2.4)
- 01_CHEATSHEET.md: Quick reference for L-BFGS usage
- atomizer_fast_solver_technologies.md: Architecture context

Usage: python -m optimization_engine.gradient_optimizer studies/my_study --n-starts 20

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

2025-12-28 16:36:18 -05:00

04_USER_GUIDES

feat: Add Analysis page, run comparison, notifications, and config editor

2025-12-05 19:57:20 -05:00

05_API_REFERENCE

feat: Major update with validators, skills, dashboard, and docs reorganization

2025-11-25 19:23:58 -05:00

06_PHYSICS

feat: Major update - Physics docs, Zernike OPD, insights, NX journals, tools

2025-12-23 19:47:37 -05:00

07_DEVELOPMENT

refactor: Major project cleanup and reorganization