{"id":68545,"date":"2026-01-30T08:17:39","date_gmt":"2026-01-30T00:17:39","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/68545.html"},"modified":"2026-01-30T08:17:39","modified_gmt":"2026-01-30T00:17:39","slug":"2026%e7%be%8e%e8%b5%9b%e6%95%b0%e5%ad%a6%e5%bb%ba%e6%a8%a1%e9%80%89%e9%a2%98%e5%88%86%e6%9e%90abcdef%e9%a2%98%e6%80%9d%e8%b7%af%e4%bb%a3%e7%a0%81%e6%8c%96%e6%8e%98","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/68545.html","title":{"rendered":"2026\u7f8e\u8d5b\u6570\u5b66\u5efa\u6a21\u9009\u9898\u5206\u6790+ABCDEF\u9898\u601d\u8def\u4ee3\u7801\u6316\u6398"},"content":{"rendered":"

2026 \u5e74 MCM\/ICM 6 \u9898\u9009\u9898\u6df1\u5ea6\u5206\u6790（\u7a0d\u540e\u66f4\u65b0\u6bcf\u4e00\u9898\u5177\u4f53\u89e3\u7b54\u601d\u8def）<\/span><\/h2>\n

\u4e00\u3001\u5404\u9898\u76ee\u9010\u9898\u6838\u5fc3\u5206\u6790<\/h3>\n

（\u4e00）MCM Problem A：\u667a\u80fd\u624b\u673a\u7535\u6c60\u653e\u7535\u5efa\u6a21<\/h4>\n

\"\"<\/p>\n

    \n
  • \u9898\u76ee\u80cc\u666f：\u805a\u7126\u9502\u79bb\u5b50\u7535\u6c60 SOC（\u8377\u7535\u72b6\u6001）\u9884\u6d4b，\u9700\u89e3\u91ca\u5c4f\u5e55\u3001\u5904\u7406\u5668\u3001\u73af\u5883\u6e29\u5ea6\u7b49\u591a\u56e0\u7d20\u5bf9\u7eed\u822a\u7684\u590d\u6742\u5f71\u54cd，\u89e3\u51b3\u5b9e\u9645\u4f7f\u7528\u4e2d\u7eed\u822a\u4e0d\u53ef\u63a7\u7684\u75db\u70b9\u3002<\/li>\n
  • \u95ee\u9898\u5206\u6790：\u6838\u5fc3\u662f\u6784\u5efa\u8fde\u7eed\u65f6\u95f4\u6570\u5b66\u6a21\u578b（\u4e0d\u53ef\u7528\u7eaf\u79bb\u6563\u62df\u5408 \/ \u9ed1\u7bb1 ML），\u9700\u91cf\u5316\u591a\u56e0\u7d20\u8026\u5408\u4f5c\u7528，\u5b8c\u6210\u5269\u4f59\u65f6\u95f4\u9884\u6d4b\u3001\u654f\u611f\u6027\u5206\u6790\u53ca\u5b9e\u7528\u5efa\u8bae\u63a8\u5bfc\u3002<\/li>\n
  • \u6a21\u578b\u5efa\u7acb：\u57fa\u7840\u4e3a \u201c\u5bb9\u91cf\u8870\u51cf\u5fae\u5206\u65b9\u7a0b\u201d，\u6269\u5c55\u7eb3\u5165\u591a\u56e0\u7d20\u8026\u5408\u9879（\u5982\u5c4f\u5e55\u4eae\u5ea6 – \u529f\u8017\u7cfb\u6570\u3001\u6e29\u5ea6\u4fee\u6b63\u56e0\u5b50），\u5f62\u6210\u5206\u6bb5\u8fde\u7eed\u52a8\u529b\u5b66\u6a21\u578b\u3002<\/li>\n
  • \u4ee3\u7801\u5b9e\u73b0：\u7528 Python SciPy \u6c42\u89e3\u5fae\u5206\u65b9\u7a0b\u7ec4，Pandas \u5904\u7406\u9a8c\u8bc1\u6570\u636e，Matplotlib \u53ef\u89c6\u5316 SOC \u66f2\u7ebf；\u9700\u5b9e\u73b0\u53c2\u6570\u6821\u51c6（\u5982\u6700\u5c0f\u4e8c\u4e58\u6cd5\u62df\u5408\u5b9e\u9645\u6570\u636e）\u3002<\/li>\n
  • \u7ed3\u679c\u5206\u6790：\u8f93\u51fa\u4e0d\u540c\u573a\u666f（\u5982\u6e38\u620f\u3001\u5f85\u673a）\u4e0b\u7eed\u822a\u9884\u6d4b\u66f2\u7ebf，\u91cf\u5316\u5404\u56e0\u7d20\u5f71\u54cd\u6743\u91cd（\u5982\u5904\u7406\u5668\u8d1f\u8f7d\u5bf9\u7eed\u822a\u5f71\u54cd\u5360\u6bd4 35%），\u7ed9\u51fa\u53ef\u843d\u5730\u7684\u7701\u7535\u5efa\u8bae\u3002<\/li>\n<\/ul>\n

    （\u4e8c）MCM Problem B：\u6708\u7403\u6b96\u6c11\u5730\u8fd0\u8f93\u65b9\u6848\u4f18\u5316<\/h4>\n
      \n
    • \u9898\u76ee\u80cc\u666f：2050 \u5e74\u5efa\u6210 10 \u4e07\u4eba\u6708\u7403\u6b96\u6c11\u5730，\u9700\u8fd0\u8f93 1 \u4ebf\u5428\u5efa\u6750\u53ca\u540e\u7eed\u4f9b\u6c34，\u5bf9\u6bd4\u592a\u7a7a\u7535\u68af（3 \u4e2a\u94f6\u6cb3\u6e2f）\u4e0e\u4f20\u7edf\u706b\u7bad\u7684\u8fd0\u8f93\u6210\u672c\u3001\u65f6\u95f4\u53ca\u73af\u5883\u5f71\u54cd\u3002<\/li>\n
    • \u95ee\u9898\u5206\u6790：\u591a\u76ee\u6807\u4f18\u5316\u95ee\u9898（\u6700\u5c0f\u5316\u6210\u672c\u3001\u65f6\u95f4，\u6700\u5c0f\u5316\u73af\u5883\u5f71\u54cd），\u9700\u8003\u8651\u6545\u969c\u4e0d\u786e\u5b9a\u6027\u3001\u4f9b\u6c34\u6301\u7eed\u9700\u6c42，\u6d89\u53ca 3 \u79cd\u8fd0\u8f93\u65b9\u6848\u7684\u5bf9\u6bd4\u51b3\u7b56\u3002<\/li>\n
    • \u6a21\u578b\u5efa\u7acb：\u6574\u6570\u89c4\u5212\u6a21\u578b（\u8fd0\u8f93\u91cf\u5206\u914d）+ \u6210\u672c – \u65f6\u95f4\u51fd\u6570\u6a21\u578b + \u6545\u969c\u6982\u7387\u6a21\u578b（\u8499\u7279\u5361\u6d1b\u6a21\u62df），\u4f9b\u6c34\u9700\u6c42\u91c7\u7528\u7cfb\u7edf\u52a8\u529b\u5b66\u6a21\u578b\u3002<\/li>\n
    • \u4ee3\u7801\u5b9e\u73b0：Gurobi\/OR-Tools \u6c42\u89e3\u89c4\u5212\u6a21\u578b，Python \u5b9e\u73b0\u8499\u7279\u5361\u6d1b\u6a21\u62df\u6545\u969c\u573a\u666f，Matplotlib \u7ed8\u5236\u6210\u672c – \u65f6\u95f4 trade-off \u66f2\u7ebf\u3002<\/li>\n
    • \u7ed3\u679c\u5206\u6790：\u8f93\u51fa\u4e09\u79cd\u65b9\u6848\u7684\u6210\u672c – \u65f6\u95f4\u5bf9\u6bd4\u8868\u3001\u73af\u5883\u5f71\u54cd\u91cf\u5316\u62a5\u544a（\u5982\u78b3\u6392\u653e\u91cf），\u7ed9\u51fa\u6df7\u5408<\/li>\n
    • \u8fd0\u8f93\u6700\u4f18\u65b9\u6848\u53ca\u5e94\u6025\u8c03\u6574\u7b56\u7565\u3002<\/li>\n
    • \"\"<\/li>\n<\/ul>\n

      （\u4e09）MCM Problem C：\u300a\u4e0e\u661f\u5171\u821e\u300b\u7c89\u4e1d\u6295\u7968\u4f30\u7b97\u4e0e\u8bc4\u5206\u7cfb\u7edf\u4f18\u5316<\/h4>\n
        \n
      • \u9898\u76ee\u80cc\u666f：\u57fa\u4e8e 34 \u5b63\u8282\u76ee\u6570\u636e（\u8bc4\u59d4\u8bc4\u5206\u3001\u53c2\u8d5b\u4fe1\u606f\u7b49），\u4f30\u7b97\u672a\u77e5\u7c89\u4e1d\u6295\u7968\u6570，\u5bf9\u6bd4\u4e24\u79cd\u8bc4\u5206\u65b9\u6cd5，\u5206\u6790\u5f71\u54cd\u56e0\u7d20\u5e76\u8bbe\u8ba1\u516c\u5e73\u8bc4\u5206\u7cfb\u7edf\u3002<\/li>\n
      • \u95ee\u9898\u5206\u6790：\u7edf\u8ba1\u63a8\u65ad + \u591a\u56e0\u7d20\u56de\u5f52\u95ee\u9898，\u6838\u5fc3\u662f\u901a\u8fc7\u5df2\u77e5\u6dd8\u6c70\u7ed3\u679c\u53cd\u63a8\u7c89\u4e1d\u6295\u7968，\u9700\u5904\u7406\u8bc4\u5206\u4e3b\u89c2\u6027\u3001\u6570\u636e\u7f3a\u5931（N\/A \u503c）\u7b49\u95ee\u9898\u3002<\/li>\n
      • \u6a21\u578b\u5efa\u7acb：\u8d1d\u53f6\u65af\u63a8\u65ad\u6a21\u578b（\u4f30\u7b97\u7c89\u4e1d\u6295\u7968）+ \u591a\u5143\u7ebf\u6027\u56de\u5f52（\u5206\u6790\u540d\u4eba\u7279\u5f81\u5f71\u54cd）+ \u5c42\u6b21\u8bc4\u5206\u6a21\u578b（\u65b0\u7cfb\u7edf\u8bbe\u8ba1）\u3002<\/li>\n
      • \u4ee3\u7801\u5b9e\u73b0：Python Pandas \u6e05\u6d17\u6570\u636e，Scikit-learn \u6784\u5efa\u56de\u5f52\u6a21\u578b，PyMC3 \u5b9e\u73b0\u8d1d\u53f6\u65af\u63a8\u65ad，\u53ef\u89c6\u5316\u8bc4\u5206\u65b9\u6cd5\u5bf9\u6bd4\u7ed3\u679c\u3002<\/li>\n
      • \u7ed3\u679c\u5206\u6790：\u8f93\u51fa\u7c89\u4e1d\u6295\u7968\u4f30\u7b97\u503c\u53ca\u7f6e\u4fe1\u533a\u95f4，\u4e24\u79cd\u8bc4\u5206\u65b9\u6cd5\u7684\u504f\u5411\u6027\u5206\u6790（\u5982\u767e\u5206\u6bd4\u6cd5\u66f4\u4fa7\u91cd\u7c89\u4e1d\u6295\u7968），\u65b0\u8bc4\u5206\u7cfb\u7edf\u7684\u516c\u5e73\u6027\u9a8c\u8bc1\u3002<\/li>\n<\/ul>\n

        （\u56db）ICM Problem D：\u4f53\u80b2\u8fd0\u52a8\u56e2\u961f\u5546\u4e1a\u4e0e\u7ba1\u7406\u5efa\u6a21<\/h4>\n
          \n
        • \u9898\u76ee\u80cc\u666f：\u805a\u7126\u804c\u4e1a\u7403\u961f（\u22655 \u4eba），\u6784\u5efa\u8d5b\u5b63\u5546\u4e1a – \u7ba1\u7406\u52a8\u6001\u6a21\u578b，\u6db5\u76d6\u7403\u5458\u5f15\u8fdb\u3001\u8054\u76df\u89c4\u5219\u9002\u914d\u3001\u989d\u5916\u4e1a\u52a1\u51b3\u7b56（\u7968\u4ef7\u3001\u80a1\u6743\u7b49），\u5e73\u8861\u7ade\u6280\u8868\u73b0\u4e0e\u5229\u6da6\u3002<\/li>\n
        • \u95ee\u9898\u5206\u6790：\u591a\u76ee\u6807\u52a8\u6001\u51b3\u7b56\u95ee\u9898，\u9700\u6574\u5408\u4f53\u80b2\u7ee9\u6548\u5206\u6790\u4e0e\u8d22\u52a1\u5efa\u6a21，\u5904\u7406\u5de5\u8d44\u5e3d\u3001\u8054\u76df\u6269\u5145\u7b49\u7ea6\u675f\u6761\u4ef6，\u5e94\u5bf9\u7403\u5458\u4f24\u75c5\u3001\u4eba\u6c14\u7b49\u4e0d\u786e\u5b9a\u6027\u3002<\/li>\n
        • \u6a21\u578b\u5efa\u7acb：\u7cfb\u7edf\u52a8\u529b\u5b66\u6a21\u578b（\u7403\u961f\u7ee9\u6548 – \u5229\u6da6\u8054\u52a8）+ \u591a\u51c6\u5219\u51b3\u7b56\u6a21\u578b（\u7403\u5458\u4ef7\u503c\u8bc4\u4f30）+ \u8d22\u52a1\u9884\u6d4b\u6a21\u578b（\u6536\u5165 – \u6210\u672c\u6838\u7b97）\u3002<\/li>\n
        • \u4ee3\u7801\u5b9e\u73b0：Python NetworkX \u6784\u5efa\u51b3\u7b56\u7f51\u7edc，Pandas \u5904\u7406\u7403\u961f\u8d22\u52a1 \/ \u7ee9\u6548\u6570\u636e，Matplotlib \u6a21\u62df\u8054\u76df\u6269\u5145\u540e\u7684\u7b56\u7565\u8c03\u6574\u6548\u679c\u3002<\/li>\n
        • \u7ed3\u679c\u5206\u6790：\u8f93\u51fa\u7403\u5458\u5f15\u8fdb\u4f18\u5148\u7ea7\u6e05\u5355，\u5229\u6da6\u9884\u6d4b\u66f2\u7ebf，\u8054\u76df\u6269\u5145\u5bf9\u7403\u961f\u7684\u5f71\u54cd\u91cf\u5316\u62a5\u544a，\u7ed9\u51fa\u517c\u987e\u7ade\u6280\u4e0e\u76c8\u5229\u7684\u7b56\u7565\u5efa\u8bae\u3002<\/li>\n<\/ul>\n

          （\u4e94）ICM Problem E：\u88ab\u52a8\u5f0f\u592a\u9633\u80fd\u906e\u9633\u7cfb\u7edf\u8bbe\u8ba1<\/h4>\n
            \n
          • \u9898\u76ee\u80cc\u666f：\u4e3a\u4e24\u6240\u6c14\u5019\u8fe5\u5f02\u7684\u5927\u5b66（\u4f4e\u7eac\u5ea6\u9ad8\u6e29\u6851\u683c\u7f57\u592b\u3001\u9ad8\u7eac\u5ea6\u4e25\u5bd2\u535a\u96f7\u4e9a\u5229\u65af）\u8bbe\u8ba1\u5efa\u7b51\u6539\u9020 \/ \u65b0\u5efa\u65b9\u6848，\u5b9e\u73b0\u4f9b\u6696\u5236\u51b7\u4f18\u5316\u4e0e\u957f\u671f\u6c14\u5019\u9002\u5e94\u3002<\/li>\n
          • \u95ee\u9898\u5206\u6790：\u70ed\u529b\u5b66 + \u591a\u76ee\u6807\u4f18\u5316\u95ee\u9898，\u9700\u7ed3\u5408\u592a\u9633\u8f68\u8ff9\u3001\u5efa\u7b51\u51e0\u4f55\u3001\u6750\u6599\u7279\u6027，\u5e73\u8861\u906e\u9633\u6548\u679c\u4e0e\u91c7\u5149\u9700\u6c42，\u9002\u914d\u4e0d\u540c\u6c14\u5019\u6761\u4ef6\u3002<\/li>\n
          • \u6a21\u578b\u5efa\u7acb：\u592a\u9633\u8f90\u5c04\u4f20\u70ed\u6a21\u578b（\u57fa\u4e8e\u592a\u9633\u9ad8\u5ea6\u89d2\u8ba1\u7b97）+ \u5efa\u7b51\u80fd\u8017\u5e73\u8861\u6a21\u578b + \u591a\u76ee\u6807\u4f18\u5316\u6a21\u578b（\u6700\u5c0f\u5316\u80fd\u8017 + \u6700\u5927\u5316\u8212\u9002\u5ea6）\u3002<\/li>\n
          • \u4ee3\u7801\u5b9e\u73b0：Python PVlib \u8ba1\u7b97\u592a\u9633\u8f90\u5c04，SciPy \u6c42\u89e3\u80fd\u8017\u65b9\u7a0b，Gekko \u5b9e\u73b0\u4f18\u5316\u8bbe\u8ba1，\u53ef\u89c6\u5316\u906e\u9633\u7cfb\u7edf\u6548\u679c（\u5982\u590f\u5b63\u964d\u6e29\u7387）\u3002<\/li>\n
          • \u7ed3\u679c\u5206\u6790：\u8f93\u51fa\u5efa\u7b51\u6539\u9020\u65b9\u6848（\u5982\u906e\u9633\u677f\u5c3a\u5bf8\u3001\u6750\u6599\u9009\u62e9），\u80fd\u8017\u964d\u4f4e\u7387\u91cf\u5316\u7ed3\u679c（\u5982\u6851\u683c\u7f57\u592b\u5236\u51b7\u8d1f\u8377\u964d\u4f4e 40%），\u957f\u671f\u6c14\u5019\u9002\u5e94\u53ef\u884c\u6027\u62a5\u544a\u3002<\/li>\n<\/ul>\n

            （\u516d）ICM Problem F：AI \u5bf9\u804c\u4e1a\u7684\u5f71\u54cd\u4e0e\u9ad8\u7b49\u6559\u80b2\u9002\u914d<\/h4>\n
              \n
            • \u9898\u76ee\u80cc\u666f：\u9009\u62e9 STEM\u3001\u6280\u672f\u3001\u827a\u672f\u4e09\u7c7b\u804c\u4e1a\u5404\u4e00\u79cd，\u6784\u5efa\u6570\u636e\u9a71\u52a8\u6a21\u578b\u9884\u6d4b AI \u5f71\u54cd\u8d8b\u52bf，\u4e3a\u5bf9\u5e94\u9662\u6821\u8bbe\u8ba1\u8bfe\u7a0b\u8c03\u6574\u5efa\u8bae\u3002<\/li>\n
            • \u95ee\u9898\u5206\u6790：\u8d8b\u52bf\u9884\u6d4b + \u653f\u7b56\u5efa\u8bae\u95ee\u9898，\u9700\u6574\u5408\u804c\u4e1a\u6570\u636e\u3001AI \u53d1\u5c55\u8f68\u8ff9，\u5206\u6790 AI \u5bf9\u804c\u4e1a\u7684\u66ff\u4ee3 \/ \u4fc3\u8fdb\u6548\u5e94，\u63a8\u5bfc\u9662\u6821\u6559\u5b66\u4f18\u5316\u65b9\u6848\u3002<\/li>\n
            • \u6a21\u578b\u5efa\u7acb：\u65f6\u95f4\u5e8f\u5217\u9884\u6d4b\u6a21\u578b（ARIMA\/LSTM）+ \u56e0\u679c\u5206\u6790\u6a21\u578b（AI \u5f71\u54cd\u9a71\u52a8\u56e0\u7d20）+ \u8bfe\u7a0b\u4f53\u7cfb\u4f18\u5316\u6a21\u578b\u3002<\/li>\n
            • \u4ee3\u7801\u5b9e\u73b0：Python Prophet\/LSTM \u505a\u8d8b\u52bf\u9884\u6d4b，Scikit-learn \u5206\u6790\u5f71\u54cd\u56e0\u7d20\u6743\u91cd，\u53ef\u89c6\u5316\u804c\u4e1a\u9700\u6c42\u53d8\u5316\u66f2\u7ebf\u4e0e\u8bfe\u7a0b\u8c03\u6574\u65b9\u6848\u3002<\/li>\n
            • \u7ed3\u679c\u5206\u6790：\u8f93\u51fa\u4e09\u7c7b\u804c\u4e1a\u7684 AI \u5f71\u54cd\u8d8b\u52bf\u56fe，\u9662\u6821\u8bfe\u7a0b\u4f18\u5316\u5efa\u8bae\u6e05\u5355（\u5982 STEM \u804c\u4e1a\u589e\u52a0 AI \u5de5\u5177\u5e94\u7528\u8bfe\u7a0b），\u5efa\u8bae\u63a8\u5e7f\u8303\u56f4\u4e0e\u53ef\u884c\u6027\u5206\u6790\u3002<\/li>\n<\/ul>\n

              \u4e8c\u3001\u9009\u9898\u6838\u5fc3\u7ef4\u5ea6\u5bf9\u6bd4\u8868\u683c<\/h3>\n<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n
              \n

              \u5bf9\u6bd4\u7ef4\u5ea6<\/p>\n<\/td>\n

              		\n

              MCM A（\u7535\u6c60\u653e\u7535）<\/p>\n<\/td>\n

              		\n

              MCM B（\u6708\u7403\u8fd0\u8f93）<\/p>\n<\/td>\n

              		\n

              MCM C（\u7c89\u4e1d\u6295\u7968）<\/p>\n<\/td>\n

              		\n

              ICM D（\u4f53\u80b2\u7ba1\u7406）<\/p>\n<\/td>\n

              		\n

              ICM E（\u592a\u9633\u80fd\u906e\u9633）<\/p>\n<\/td>\n

              		\n

              ICM F（AI \u4e0e\u804c\u4e1a）<\/p>\n<\/td>\n<\/tr>\n

              \n

              \u6838\u5fc3\u6a21\u578b\u7c7b\u578b<\/p>\n<\/td>\n

              		\n

              \u8fde\u7eed\u65f6\u95f4\u5fae\u5206\u65b9\u7a0b\u6a21\u578b<\/p>\n<\/td>\n

              		\n

              \u6574\u6570\u89c4\u5212 + \u8499\u7279\u5361\u6d1b\u6a21\u62df<\/p>\n<\/td>\n

              		\n

              \u8d1d\u53f6\u65af\u63a8\u65ad + \u56de\u5f52\u6a21\u578b<\/p>\n<\/td>\n

              		\n

              \u7cfb\u7edf\u52a8\u529b\u5b66 + \u591a\u76ee\u6807\u51b3\u7b56<\/p>\n<\/td>\n

              		\n

              \u4f20\u70ed\u5b66 + \u4f18\u5316\u6a21\u578b<\/p>\n<\/td>\n

              		\n

              \u65f6\u95f4\u5e8f\u5217\u9884\u6d4b + \u56e0\u679c\u5206\u6790<\/p>\n<\/td>\n<\/tr>\n

              \n

              \u6240\u9700\u6838\u5fc3\u77e5\u8bc6<\/p>\n<\/td>\n

              		\n

              \u5fae\u5206\u65b9\u7a0b\u3001\u7269\u7406\u5efa\u6a21\u3001\u654f\u611f\u6027\u5206\u6790<\/p>\n<\/td>\n

              		\n

              \u8fd0\u7b79\u5b66\u3001\u6210\u672c\u4f18\u5316\u3001\u4e0d\u786e\u5b9a\u6027\u5206\u6790<\/p>\n<\/td>\n

              		\n

              \u7edf\u8ba1\u63a8\u65ad\u3001\u6570\u636e\u6316\u6398\u3001\u56de\u5f52\u5206\u6790<\/p>\n<\/td>\n

              		\n

              \u8d22\u52a1\u5efa\u6a21\u3001\u51b3\u7b56\u7406\u8bba\u3001\u4f53\u80b2\u5206\u6790<\/p>\n<\/td>\n

              		\n

              \u70ed\u529b\u5b66\u3001\u592a\u9633\u8f90\u5c04\u5b66\u3001\u5efa\u7b51\u7269\u7406<\/p>\n<\/td>\n

              		\n

              \u65f6\u95f4\u5e8f\u5217\u9884\u6d4b\u3001\u804c\u4e1a\u89c4\u5212\u3001\u6559\u80b2\u653f\u7b56<\/p>\n<\/td>\n<\/tr>\n

              \n

              \u6d89\u53ca\u4e13\u4e1a<\/p>\n<\/td>\n

              		\n

              \u6570\u5b66\u3001\u7269\u7406\u3001\u8ba1\u7b97\u673a\u3001\u7535\u5b50\u5de5\u7a0b<\/p>\n<\/td>\n

              		\n

              aerospace\u3001\u6570\u5b66\u3001\u8fd0\u7b79\u5b66<\/p>\n<\/td>\n

              		\n

              \u7edf\u8ba1\u5b66\u3001\u8ba1\u7b97\u673a\u3001\u4f20\u5a92\u5b66<\/p>\n<\/td>\n

              		\n

              \u4f53\u80b2\u7ba1\u7406\u3001\u7ecf\u6d4e\u5b66\u3001\u6570\u5b66<\/p>\n<\/td>\n

              		\n

              \u5efa\u7b51\u5b66\u3001\u73af\u5883\u5de5\u7a0b\u3001\u6570\u5b66<\/p>\n<\/td>\n

              		\n

              \u6559\u80b2\u5b66\u3001\u8ba1\u7b97\u673a\u3001\u793e\u4f1a\u5b66\u3001\u7ba1\u7406\u5b66<\/p>\n<\/td>\n<\/tr>\n

              \n

              \u96be\u5ea6（1-5 \u661f）<\/p>\n<\/td>\n

              		\n

              \u2605\u2605\u2605\u2606\u2606<\/p>\n<\/td>\n

              		\n

              \u2605\u2605\u2605\u2605\u2605<\/p>\n<\/td>\n

              		\n

              \u2605\u2605\u2605\u2606\u2606<\/p>\n<\/td>\n

              		\n

              \u2605\u2605\u2605\u2605\u2606<\/p>\n<\/td>\n

              		\n

              \u2605\u2605\u2605\u2605\u2606<\/p>\n<\/td>\n

              		\n

              \u2605\u2605\u2605\u2606\u2606<\/p>\n<\/td>\n<\/tr>\n

              \n

              \u9898\u91cf（\u5de5\u4f5c\u91cf）<\/p>\n<\/td>\n

              		\n

              \u4e2d\u7b49（\u6838\u5fc3\u6a21\u578b + \u9a8c\u8bc1）<\/p>\n<\/td>\n

              		\n

              \u5927（\u591a\u65b9\u6848 + \u591a\u7ea6\u675f + \u5199\u4fe1）<\/p>\n<\/td>\n

              		\n

              \u4e2d\u7b49（\u6570\u636e\u5904\u7406 + \u591a\u5206\u6790）<\/p>\n<\/td>\n

              		\n

              \u5927（\u591a\u6a21\u5757 + \u8054\u76df\u89c4\u5219 + \u5199\u4fe1）<\/p>\n<\/td>\n

              		\n

              \u5927（\u591a\u6c14\u5019 + \u591a\u76ee\u6807 + \u5199\u4fe1）<\/p>\n<\/td>\n

              		\n

              \u4e2d\u7b49（\u4e09\u804c\u4e1a + \u4e09\u9662\u6821 + \u5efa\u8bae）<\/p>\n<\/td>\n<\/tr>\n

              \n

              \u5efa\u6a21\u590d\u6742\u5ea6<\/p>\n<\/td>\n

              		\n

              \u4e2d\u7b49（\u7269\u7406\u539f\u7406\u660e\u786e）<\/p>\n<\/td>\n

              		\n

              \u9ad8（\u591a\u76ee\u6807 + \u4e0d\u786e\u5b9a\u6027）<\/p>\n<\/td>\n

              		\n

              \u4e2d\u7b49（\u7edf\u8ba1\u6a21\u578b\u6210\u719f）<\/p>\n<\/td>\n

              		\n

              \u9ad8（\u8de8\u9886\u57df\u8026\u5408）<\/p>\n<\/td>\n

              		\n

              \u9ad8（\u70ed\u529b\u5b66 + \u5efa\u7b51\u8026\u5408）<\/p>\n<\/td>\n

              		\n

              \u4e2d\u7b49（\u8d8b\u52bf\u9884\u6d4b\u6a21\u578b\u6210\u719f）<\/p>\n<\/td>\n<\/tr>\n

              \n

              \u6570\u636e\u5904\u7406\u96be\u5ea6<\/p>\n<\/td>\n

              		\n

              \u4e2d\u7b49（\u9700\u81ea\u884c\u6536\u96c6\u9a8c\u8bc1\u6570\u636e）<\/p>\n<\/td>\n

              		\n

              \u4f4e（\u5047\u8bbe\u6570\u636e + \u516c\u5f00\u53d1\u5c04\u573a\u6570\u636e）<\/p>\n<\/td>\n

              		\n

              \u4f4e（\u63d0\u4f9b 34 \u5b63 CSV \u6570\u636e）<\/p>\n<\/td>\n

              		\n

              \u4e2d\u7b49（\u9700\u6536\u96c6\u7403\u961f\u8d22\u52a1 \/ \u7ee9\u6548\u6570\u636e）<\/p>\n<\/td>\n

              		\n

              \u4e2d\u7b49（\u9700\u6536\u96c6\u6c14\u5019 + \u5efa\u7b51\u6570\u636e）<\/p>\n<\/td>\n

              		\n

              \u4e2d\u7b49（\u9700\u6536\u96c6\u804c\u4e1a + AI \u53d1\u5c55\u6570\u636e）<\/p>\n<\/td>\n<\/tr>\n

              \n

              \u4ee3\u7801\u5b9e\u73b0\u96be\u5ea6<\/p>\n<\/td>\n

              		\n

              \u4e2d\u7b49（\u5fae\u5206\u65b9\u7a0b\u6c42\u89e3）<\/p>\n<\/td>\n

              		\n

              \u9ad8（\u89c4\u5212 + \u6a21\u62df\u8054\u52a8）<\/p>\n<\/td>\n

              		\n

              \u4e2d\u7b49（\u7edf\u8ba1\u5e93\u76f4\u63a5\u5e94\u7528）<\/p>\n<\/td>\n

              		\n

              \u4e2d\u7b49（\u51b3\u7b56\u6a21\u578b\u5b9e\u73b0）<\/p>\n<\/td>\n

              		\n

              \u9ad8（\u4f20\u70ed\u6a21\u578b + \u4f18\u5316）<\/p>\n<\/td>\n

              		\n

              \u4e2d\u7b49（\u9884\u6d4b\u6a21\u578b\u8c03\u7528）<\/p>\n<\/td>\n<\/tr>\n

              \n

              \u7ed3\u679c\u53ef\u89c6\u5316\u8981\u6c42<\/p>\n<\/td>\n

              		\n

              \u4f4e（\u66f2\u7ebf + \u8868\u683c）<\/p>\n<\/td>\n

              		\n

              \u4e2d（\u5bf9\u6bd4\u56fe + \u65f6\u95f4\u7ebf）<\/p>\n<\/td>\n

              		\n

              \u4e2d（\u5206\u5e03\u56fe + \u5bf9\u6bd4\u56fe）<\/p>\n<\/td>\n

              		\n

              \u4e2d（\u7b56\u7565\u56fe + \u5229\u6da6\u66f2\u7ebf）<\/p>\n<\/td>\n

              		\n

              \u9ad8（\u5efa\u7b51\u8bbe\u8ba1\u56fe + \u80fd\u8017\u66f2\u7ebf）<\/p>\n<\/td>\n

              		\n

              \u4e2d（\u8d8b\u52bf\u56fe + \u5efa\u8bae\u6e05\u5355）<\/p>\n<\/td>\n<\/tr>\n

              \n

              \u8de8\u5b66\u79d1\u7a0b\u5ea6<\/p>\n<\/td>\n

              		\n

              \u4f4e（\u6570\u5b66 + \u7269\u7406）<\/p>\n<\/td>\n

              		\n

              \u4e2d（ aerospace + \u8fd0\u7b79 + \u73af\u5883）<\/p>\n<\/td>\n

              		\n

              \u4f4e（\u7edf\u8ba1 + \u4f20\u5a92）<\/p>\n<\/td>\n

              		\n

              \u9ad8（\u4f53\u80b2 + \u7ecf\u6d4e + \u6570\u5b66）<\/p>\n<\/td>\n

              		\n

              \u9ad8（\u5efa\u7b51 + \u73af\u5883 + \u6570\u5b66）<\/p>\n<\/td>\n

              		\n

              \u4e2d（\u6559\u80b2 + \u8ba1\u7b97\u673a + \u793e\u4f1a）<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

              \u4e09\u3001\u9009\u9898\u5efa\u8bae<\/h3>\n
                \n
              • \u6570\u636e\u9a71\u52a8\u3001\u64cd\u4f5c\u4fbf\u6377：\u4f18\u5148\u9009 MCM C（\u63d0\u4f9b\u5b8c\u6574\u6570\u636e，\u7edf\u8ba1\u6a21\u578b\u6210\u719f，\u4ee3\u7801\u6613\u5b9e\u73b0）\u3001ICM F（\u8d8b\u52bf\u9884\u6d4b\u5de5\u5177\u73b0\u6210，\u5efa\u8bae\u8f93\u51fa\u660e\u786e）；<\/li>\n
              • \u7269\u7406\u5efa\u6a21\u3001\u57fa\u7840\u624e\u5b9e：\u9009 MCM A（\u5fae\u5206\u65b9\u7a0b\u6838\u5fc3，\u77e5\u8bc6\u70b9\u96c6\u4e2d，\u65e0\u590d\u6742\u8de8\u9886\u57df\u8026\u5408）；<\/li>\n
              • \u5de5\u7a0b\u5e94\u7528\u3001\u6311\u6218\u521b\u65b0：\u9009 MCM B（\u822a\u5929\u4e3b\u9898\u65b0\u9896，\u4f18\u5316\u6a21\u578b\u6709\u6df1\u5ea6）\u3001ICM E（\u5efa\u7b51 + \u80fd\u6e90\u70ed\u70b9，\u5b9e\u7528\u4ef7\u503c\u9ad8）；<\/li>\n
              • \u5546\u4e1a\u51b3\u7b56\u3001\u8de8\u57df\u6574\u5408：\u9009 ICM D（\u4f53\u80b2 + \u8d22\u52a1\u53cc\u7ef4\u5ea6，\u51b3\u7b56\u6a21\u578b\u8d34\u8fd1\u5b9e\u9645，\u5efa\u8bae\u6613\u843d\u5730）\u3002<\/li>\n<\/ul>\n

                \u5b8c\u6574\u7248\u8d44\u6599\u66f4\u65b0\u5165\u53e3：<\/p>\n

                \u3010\u8d85\u7ea7\u4f1a\u5458V5\u3011\u901a\u8fc7\u767e\u5ea6\u7f51\u76d8\u5206\u4eab\u7684\u6587\u4ef6：2026\u7f8e\u8d5b\u8d5b\u524d\u2026
                \n\u94fe\u63a5:https:\/\/pan.baidu.com\/s\/1Ss8qekVRC6Ya4m2VDM4Apg?pwd=nyho\u00a0
                \n\u590d\u5236\u8fd9\u6bb5\u5185\u5bb9\u6253\u5f00\u300c\u767e\u5ea6\u7f51\u76d8APP \u5373\u53ef\u83b7\u53d6\u300d<\/p><\/p>\n","protected":false},"excerpt":{"rendered":"

                2026 \u5e74 MCM\/ICM 6 \u9898\u9009\u9898\u6df1\u5ea6\u5206\u6790（\u7a0d\u540e\u66f4\u65b0\u6bcf\u4e00\u9898\u5177\u4f53\u89e3\u7b54\u601d\u8def）\u4e00\u3001\u5404\u9898\u76ee\u9010\u9898\u6838\u5fc3\u5206\u6790（\u4e00）MCM Problem A：\u667a\u80fd\u624b\u673a\u7535\u6c60\u653e\u7535\u5efa\u6a21\u9898\u76ee\u80cc\u666f：\u805a\u7126\u9502\u79bb\u5b50\u7535\u6c60 SOC（\u8377\u7535\u72b6\u6001）\u9884\u6d4b，\u9700\u89e3\u91ca\u5c4f\u5e55\u3001\u5904\u7406\u5668\u3001\u73af\u5883\u6e29\u5ea6\u7b49\u591a\u56e0\u7d20\u5bf9\u7eed\u822a\u7684\u590d\u6742\u5f71\u54cd，\u89e3\u51b3\u5b9e\u9645\u4f7f\u7528\u4e2d\u7eed\u822a\u4e0d\u53ef\u63a7\u7684\u75db\u70b9\u3002\u95ee\u9898\u5206\u6790：\u6838\u5fc3\u662f\u6784\u5efa\u8fde\u7eed\u65f6\u95f4\u6570\u5b66\u6a21\u578b<\/p>\n","protected":false},"author":2,"featured_media":68543,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[1482],"topic":[],"class_list":["post-68545","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-server","tag-1482"],"yoast_head":"\n2026\u7f8e\u8d5b\u6570\u5b66\u5efa\u6a21\u9009\u9898\u5206\u6790+ABCDEF\u9898\u601d\u8def\u4ee3\u7801\u6316\u6398 - 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