[Cron] cron-convergence — 1 finding

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难度
4/5
预计耗时
3-5 天
新手友好度
32/100
Issue 类型
缺陷
描述清晰度
基本清楚
活跃度
活跃
技术栈
julia
领域
machine-learning, testing

调研方向

Read the Workflow README section linked in the issue, then reproduce the moonlander JuMP robustness finding with Pkg.test(; test_args=["JuMP", "robustness", "problem=moonlander"]). Compare problems/moonlander/result.json and cron/JuMP-robustness.md with the linked run report to determine whether the loss of convergence is expected or a regression. The issue does not specify a code change; it remains open as a monitoring dashboard.

由索引模型根据 Issue 内容生成。

描述

cron-convergence

Solver Convergence and Robustness Report

About this tracking:
Numerical convergence is reported, not tested (#360): a solver failing to converge or finding an objective that shifts does not fail the CI. These scheduled crons periodically re-solve the entire problem catalogue to catch silent regressions, sensitivity to solver parameters, or better local optima.

What to do when an alert (⚠️) is flagged:

  1. Check which problem and solver configuration lost convergence or shifted objective.
  2. Reproduce locally with the Julia command provided in the section.
  3. Decide if the change is expected (e.g. updated solver version, improved initial guess) or a regression.
  4. If expected, recompute reference objectives (tools/references/README.md). This issue stays open as a permanent dashboard.
    Details: Workflow README.

Overall Scope Status

Scope Focus Cadence Status
JuMP — Nominal Convergence Default solver configuration (IPOPT/MadNLP on default discretization grids) Weekly (Tuesday 04:00 UTC) ✅ Clean
JuMP — Solver Robustness Perturbs IPOPT solver parameters (mu_strategy, mu_init) to test numerical stability (#378) Monthly (1st, 04:00 UTC) ⚠️ 1 finding
OptimalControl — Nominal Convergence High-level OptimalControl.jl modeling on standard grids and default solvers Weekly (Wednesday 04:00 UTC) Awaiting run
OptimalControl — Solver Robustness Perturbs solver parameters for OptimalControl.jl formulations (#378) Monthly (1st, 04:00 UTC) ✅ Clean
OptimalControlScalarized — Nominal Convergence Scalarized modeling where vector states/controls are unrolled into scalar components Weekly (Thursday 04:00 UTC) Awaiting run

JuMP — Nominal Convergence

Focus: Default solver configuration (IPOPT/MadNLP on default discretization grids)
Cadence & runners: CronJuMP.yml · weekly (Tuesday 04:00 UTC) · Julia 1.13, Ubuntu + Windows, CPU

✅ Clean · Run 42494171122 · 2026-11-08 15:27 UTC · Full scope report · Previous run

No findings.

JuMP — Solver Robustness

Focus: Perturbs IPOPT solver parameters (mu_strategy, mu_init) to test numerical stability (#378)
Cadence & runners: CronRobustness.yml · monthly (1st, 04:00 UTC) · Julia 1.13, Ubuntu + Windows, CPU

⚠️ 1 finding · Run 42494459775 · 2026-11-08 15:32 UTC · Full scope report · Previous run

Platform Problem Modeling Test configuration Change
1.13-ubuntu-latest moonlander JuMP solver=ipopt mu_strategy=monotone mu_init=0.001 converged → not_converged
🛠️ How to investigate
  • Local reproduction: 
    using Pkg; Pkg.test(; test_args=["JuMP", "robustness", "problem=moonlander"])
  • Data files: problems/moonlander/result.json · cron/JuMP-robustness.md
  • Outcome guide:
    • converged → <status>: problem converged in the previous run, but not in this run
    • objective a → b (±x): converged in both runs, but the objective value moved by more than relative threshold 1e-4
    • new solution: converged to a previously unknown local solution (#378)
📜 Recent history
  • 2026-11-08 · run — new: moonlander (converged → not_converged)
## OptimalControl — Nominal Convergence

Focus: High-level OptimalControl.jl modeling on standard grids and default solvers
Cadence & runners: Weekly (Wednesday 04:00 UTC) · Julia 1.13, Ubuntu + Windows (CPU + GPU)

Awaiting next scheduled run.

OptimalControl — Solver Robustness

Focus: Perturbs solver parameters for OptimalControl.jl formulations (#378)
Cadence & runners: CronRobustness.yml · monthly (1st, 04:00 UTC) · Julia 1.13, Ubuntu + Windows, CPU

✅ Clean · Run 42494459775 · 2026-11-08 15:56 UTC · Full scope report · Previous run

No findings.

📜 Recent history
  • 2026-11-08 · run — resolved: insurance (all clear)
  • 2026-11-08 · run — new: insurance (converged → not_converged)
## OptimalControlScalarized — Nominal Convergence

Focus: Scalarized modeling where vector states/controls are unrolled into scalar components
Cadence & runners: Weekly (Thursday 04:00 UTC) · Julia 1.13, Ubuntu + Windows (CPU + GPU)

Awaiting next scheduled run.

主要语言
Julia
星标
13
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1
平均合并
3 小时 33 分钟
30 天内合并 PR
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环境准备

  • 没有 Dockerfile 或 Docker Compose 文件
  • 没有 Pull Request 模板
  • 阅读贡献指南

从这里开始

  1. 先读完整个 Issue，再读项目的贡献指南。
  2. 在 Issue 下留言说明你要接手 —— 这能避免两个人做同样的事。
  3. Fork 仓库，在一个分支上完成修改。
  4. 提交 Pull Request，并在描述里引用这个 Issue 编号。

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