lagrangian-core

Name: lagrangian-core
Rating: 5 (2 reviews)
Author: Sliky1

Augmented Lagrangian for constrained optimization. Handles convex QP, smooth NLP, non-convex NLP, distributed ADMM, Safe RL, multi-objective. Trigger on: constrained optimization, KKT, ALM, ADMM, safe constraints, Pareto front, shadow prices, sensitivity analysis, infeasibility diagnosis, near-infeasible problems.

2stars

Updated 21 days ago

View on GitHub ↗License: MIT

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Lagrangian Core Skill — v0.7.0

能力边界

Step -1 — 预检 [LAT-1] (4项并行)

变量类型 2. 约束可行性(LP松弛) 3. 问题规模 4. 量纲一致性任意HALT条件 → 立即停止，输出结构化错误码。

Step 0 — 澄清

模糊点→单轮确认；贝叶斯信号→HALT "请调用贝叶斯Skill"

Step 3 — 稀疏JSON通道

{"step":3,"type":"augmented_lagrangian",
 "formula":"L_ρ=f(x)+Σλ·h(x)+Σμ·g(x)+ρ/2·||h||²",
 "multipliers":{"lambda":[0.0],"mu

[Description truncada. Veja o README completo no GitHub.]

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