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mathorcup

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数学建模竞赛全流程 AI Skill:以证据优先的 mmflow 运行时为唯一事实来源,12 阶段状态机(P0–P11)逐阶段 fail-closed 门禁,哈希链账本不可变、结果可复现、隐私扫描、heal_mismatch 规范恢复。38 个 CLI 命令、56 个模板(7 类目)、15 份手册、46 种证据类型;LaTeX 论文真实编译、退化测试与反证、多角色独立评审闭环。23 项契约校验、237 个测试函数、端到端全流程验证 COMPLETE。支持 CUMCM、MCM/ICM、GMCM、MathorCup、APMCM、深圳杯;适配 Claude Code/Codex 等 Agent Skills。MIT 开源。

  • Updated Aug 31, 2026
  • Python

A systematic implementation of demand forecasting and warehouse category allocation based on the 2024 MathorCup Question B. This project utilizes Mixed-Integer Linear Programming (MILP) to optimize storage strategies across single and multi-warehouse networks.基于2024年MathorCup B题的需求预测与仓库品类分配的系统化实现。该项目运用混合整数线性规划(MILP)优化单仓库及多仓库网络中的存储策略。

  • Updated Mar 25, 2026
  • Python

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