2024年 第二十四届华为杯 中国研究生数学建模竞赛 C题.zip

上传者: sinat_33203678 | 上传时间: 2025-08-20 11:57:20 | 文件大小: 223.88MB | 文件类型: ZIP
在分析压缩包内的文件之前,首先要了解华为杯中国研究生数学建模竞赛是一项面向研究生的高水平科技竞赛,旨在培养参赛者的数学建模能力、计算机应用能力和论文撰写能力。2024年的比赛已经是第二十四届,可见这是一个持续多年且广受关注的赛事。 接下来,根据压缩包中的文件列表,我们可以推断出一些有用的信息。“鼠标双击-获取压缩文件密码-A.html”这个文件名暗示着用户需要执行某个动作(可能是双击打开)以获取进入压缩文件的密码。这种设计常见于防止未经授权的访问,确保只有获得密码的人员才能解压文件。 “utils.py”和“figure.py”文件名表明这是两个Python程序文件,分别可能用于提供工具函数和生成图表。这进一步证实了参赛者需要使用编程语言来解决问题,而Python因其简洁性和强大的库支持,在数据处理和数学建模中非常流行。 “ybz”文件格式并不常见,可能是某种特定格式的数据文件,但没有更多信息,难以判断其具体用途。 “get-pip.py”是Python环境下的一个脚本,用于安装pip工具,这是Python包管理工具,用于安装和管理其他Python库。这表明竞赛中可能需要使用到额外的Python库来进行模型构建或数据分析。 附件三和附件四都是Excel文件,很可能包含了竞赛需要处理的数据集。在数学建模竞赛中,数据的分析和处理往往是关键步骤,这些数据文件将作为参赛者构建模型的基础。 “C-2-Ultimate”这个名字可能指代某种终极解决方案或最终版本,考虑到参赛者需要解决的问题是“C题”,这个文件可能包含了与问题C有关的最终结论、模型、代码或是论文草稿。 “question4”可能是对问题C中四个子问题中的第四个问题的具体描述或是参考答案。在数学建模竞赛中,参赛者通常需要解决一个综合问题中的若干子问题。 “appendix1_m2.csv”文件名中的CSV表明这是一个以逗号分隔的纯文本文件,通常用于存储表格数据。由于其名称中包含“appendix1”,可以推测这是一个附件文件,可能包含了补充的数据或是题目中给出的一些必要信息。 综合以上信息,我们可以推断这个压缩包是2024年第二十四届华为杯中国研究生数学建模竞赛中问题C相关的所有资料。它包括了解决问题所必需的密码、工具代码、数据集和可能的附件及参考文件。参赛者需要使用这些资源来构建数学模型、编写程序、分析数据并撰写论文。通过这些文件,我们可以窥见参赛者为解决复杂问题所进行的准备工作,以及他们可能运用的编程工具、数据处理技术和解决问题的思路。

文件下载

资源详情

[{"title":"( 164 个子文件 223.88MB ) 2024年 第二十四届华为杯 中国研究生数学建模竞赛 C题.zip","children":[{"title":"bp神经网络模型图.bmp <span style='color:#111;'> 1.25MB </span>","children":null,"spread":false},{"title":"appendix1_m1.csv <span style='color:#111;'> 41.22MB </span>","children":null,"spread":false},{"title":"appendix1_m3.csv <span style='color:#111;'> 37.55MB </span>","children":null,"spread":false},{"title":"appendix1_m2.csv <span style='color:#111;'> 35.14MB </span>","children":null,"spread":false},{"title":"appendix1_m4.csv <span style='color:#111;'> 33.76MB </span>","children":null,"spread":false},{"title":"appendix3.csv <span style='color:#111;'> 4.76MB </span>","children":null,"spread":false},{"title":"appendix2.csv <span style='color:#111;'> 984.41KB </span>","children":null,"spread":false},{"title":"double_factor_loss_data.csv <span style='color:#111;'> 1.29KB </span>","children":null,"spread":false},{"title":"influence_factors_summary.csv <span style='color:#111;'> 286B </span>","children":null,"spread":false},{"title":"influence_factors_summary.csv <span style='color:#111;'> 235B </span>","children":null,"spread":false},{"title":"single_factor_material_loss.csv <span style='color:#111;'> 144B </span>","children":null,"spread":false},{"title":"single_factor_temperature_loss.csv <span style='color:#111;'> 138B </span>","children":null,"spread":false},{"title":"single_factor_material_loss.csv <span style='color:#111;'> 128B </span>","children":null,"spread":false},{"title":"single_factor_shape_loss.csv <span style='color:#111;'> 118B </span>","children":null,"spread":false},{"title":"single_factor_temperature_loss.csv <span style='color:#111;'> 103B </span>","children":null,"spread":false},{"title":"single_factor_shape_loss.csv <span style='color:#111;'> 101B </span>","children":null,"spread":false},{"title":"数据驱动下磁性元件的磁芯损耗建模.docx <span style='color:#111;'> 726.87KB </span>","children":null,"spread":false},{"title":"鼠标双击-获取压缩文件密码-A.html <span style='color:#111;'> 118B </span>","children":null,"spread":false},{"title":"问题3 .ipynb <span style='color:#111;'> 1.65MB </span>","children":null,"spread":false},{"title":"问题3 -checkpoint.ipynb <span style='color:#111;'> 1.27MB </span>","children":null,"spread":false},{"title":"问题2终极版-checkpoint.ipynb <span style='color:#111;'> 520.30KB </span>","children":null,"spread":false},{"title":"问题2终极版.ipynb <span style='color:#111;'> 514.40KB </span>","children":null,"spread":false},{"title":"问题5_最终版-checkpoint.ipynb <span style='color:#111;'> 351.87KB </span>","children":null,"spread":false},{"title":"问题5.ipynb <span style='color:#111;'> 351.85KB </span>","children":null,"spread":false},{"title":"问题5_最终版.ipynb <span style='color:#111;'> 219.12KB </span>","children":null,"spread":false},{"title":"问题4_最终版.ipynb <span style='color:#111;'> 131.43KB </span>","children":null,"spread":false},{"title":"问题4_最终版-checkpoint.ipynb <span style='color:#111;'> 130.82KB </span>","children":null,"spread":false},{"title":"C-1.ipynb <span style='color:#111;'> 125.17KB </span>","children":null,"spread":false},{"title":"new_C-1.ipynb <span style='color:#111;'> 97.49KB </span>","children":null,"spread":false},{"title":"new_C-1-checkpoint.ipynb <span style='color:#111;'> 62.97KB </span>","children":null,"spread":false},{"title":"C-1-checkpoint.ipynb <span style='color:#111;'> 62.40KB </span>","children":null,"spread":false},{"title":"C-2.ipynb <span style='color:#111;'> 56.61KB </span>","children":null,"spread":false},{"title":"C-2-checkpoint.ipynb <span style='color:#111;'> 56.38KB </span>","children":null,"spread":false},{"title":"问题4-checkpoint.ipynb <span style='color:#111;'> 25.12KB </span>","children":null,"spread":false},{"title":"问题4.ipynb <span style='color:#111;'> 13.48KB </span>","children":null,"spread":false},{"title":"report.log <span style='color:#111;'> 7.71KB </span>","children":null,"spread":false},{"title":"3.png <span style='color:#111;'> 24.36MB </span>","children":null,"spread":false},{"title":"2.png <span style='color:#111;'> 23.48MB </span>","children":null,"spread":false},{"title":"1.png <span style='color:#111;'> 18.76MB </span>","children":null,"spread":false},{"title":"4.png <span style='color:#111;'> 17.32MB </span>","children":null,"spread":false},{"title":"3d_scatter_combined_styled_fixed.png <span style='color:#111;'> 6.26MB </span>","children":null,"spread":false},{"title":"3d_scatter_combined_customized.png <span style='color:#111;'> 6.17MB </span>","children":null,"spread":false},{"title":"1.png <span style='color:#111;'> 5.82MB </span>","children":null,"spread":false},{"title":"4.png <span style='color:#111;'> 5.81MB </span>","children":null,"spread":false},{"title":"3.png <span style='color:#111;'> 5.65MB </span>","children":null,"spread":false},{"title":"2.png <span style='color:#111;'> 5.28MB </span>","children":null,"spread":false},{"title":"q5_.png <span style='color:#111;'> 4.79MB </span>","children":null,"spread":false},{"title":"3d_scatter_combined_styled.png <span style='color:#111;'> 3.49MB </span>","children":null,"spread":false},{"title":"3d_scatter_combined.png <span style='color:#111;'> 3.31MB </span>","children":null,"spread":false},{"title":"3D_Scatter_Plots_Combined.png <span style='color:#111;'> 2.85MB </span>","children":null,"spread":false},{"title":"q5.png <span style='color:#111;'> 2.17MB </span>","children":null,"spread":false},{"title":"磁通密度峰值与磁芯损耗的关系.png <span style='color:#111;'> 1.91MB </span>","children":null,"spread":false},{"title":"频率与磁芯损耗的关系.png <span style='color:#111;'> 1.61MB </span>","children":null,"spread":false},{"title":"多段温度参数多函数拟合结果.png <span style='color:#111;'> 1.25MB </span>","children":null,"spread":false},{"title":"不同材料的正弦波磁通密度变化情况.png <span style='color:#111;'> 1.17MB </span>","children":null,"spread":false},{"title":"不同材料的梯形波磁通密度变化情况.png <span style='color:#111;'> 1.03MB </span>","children":null,"spread":false},{"title":"不同材料励磁波形的粒子群优化迭代过程.png <span style='color:#111;'> 1.01MB </span>","children":null,"spread":false},{"title":"不同材料的三角波磁通密度变化情况.png <span style='color:#111;'> 1011.49KB </span>","children":null,"spread":false},{"title":"3D_Scatter_Plot.png <span style='color:#111;'> 925.56KB </span>","children":null,"spread":false},{"title":"3D_Scatter_Plot_amplitude.png <span style='color:#111;'> 828.26KB </span>","children":null,"spread":false},{"title":"3D_Scatter_Plot_kurtosis.png <span style='color:#111;'> 822.27KB </span>","children":null,"spread":false},{"title":"3D_Scatter_Plot_min.png <span style='color:#111;'> 812.69KB </span>","children":null,"spread":false},{"title":"3D_Scatter_Plot_mean.png <span style='color:#111;'> 801.27KB </span>","children":null,"spread":false},{"title":"3D_Scatter_Plot_max.png <span style='color:#111;'> 794.58KB </span>","children":null,"spread":false},{"title":"double_factor_loss_plot.png <span style='color:#111;'> 789.67KB </span>","children":null,"spread":false},{"title":"double_factor_loss_plot.png <span style='color:#111;'> 789.67KB </span>","children":null,"spread":false},{"title":"3D_Scatter_Plot_skewness.png <span style='color:#111;'> 777.60KB </span>","children":null,"spread":false},{"title":"3D_Scatter_Plot_energy.png <span style='color:#111;'> 765.57KB </span>","children":null,"spread":false},{"title":"3D_Scatter_Plot_std.png <span style='color:#111;'> 759.35KB </span>","children":null,"spread":false},{"title":"温度与磁芯损耗的关系.png <span style='color:#111;'> 732.22KB </span>","children":null,"spread":false},{"title":"修正前后的效果对比散点图.png <span style='color:#111;'> 681.06KB </span>","children":null,"spread":false},{"title":"combined_waveforms.png <span style='color:#111;'> 581.79KB </span>","children":null,"spread":false},{"title":"修正前后预测分布散点图.png <span style='color:#111;'> 531.72KB </span>","children":null,"spread":false},{"title":"不同温度下斯坦麦茨方程拟合分布散点图.png <span style='color:#111;'> 512.08KB </span>","children":null,"spread":false},{"title":"不同材料与励磁波形的拟合损失.png <span style='color:#111;'> 427.17KB </span>","children":null,"spread":false},{"title":"材料1励磁波形的粒子群优化迭代过程.png <span style='color:#111;'> 415.54KB </span>","children":null,"spread":false},{"title":"材料2励磁波形的粒子群优化迭代过程.png <span style='color:#111;'> 389.61KB </span>","children":null,"spread":false},{"title":"材料3励磁波形的粒子群优化迭代过程.png <span style='color:#111;'> 375.58KB </span>","children":null,"spread":false},{"title":"combined_statistics_heatmap.png <span style='color:#111;'> 364.55KB </span>","children":null,"spread":false},{"title":"材料4励磁波形的粒子群优化迭代过程.png <span style='color:#111;'> 363.20KB </span>","children":null,"spread":false},{"title":"斯坦麦茨方程预测分布.png <span style='color:#111;'> 359.30KB </span>","children":null,"spread":false},{"title":"combined_statistics_heatmap.png <span style='color:#111;'> 355.70KB </span>","children":null,"spread":false},{"title":"特征相关性热图.png <span style='color:#111;'> 330.32KB </span>","children":null,"spread":false},{"title":"covariance_matrices_heatmap.png <span style='color:#111;'> 260.85KB </span>","children":null,"spread":false},{"title":"最小二乘法与L-BFGS优化算法拟合效果对比.png <span style='color:#111;'> 240.11KB </span>","children":null,"spread":false},{"title":"max_scatter.png <span style='color:#111;'> 231.35KB </span>","children":null,"spread":false},{"title":"调整前后的效果对比(映射到0-1).png <span style='color:#111;'> 217.38KB </span>","children":null,"spread":false},{"title":"使用多段温度修正前后的效果对比.png <span style='color:#111;'> 215.91KB </span>","children":null,"spread":false},{"title":"修正前后的误差指标对比直方图.png <span style='color:#111;'> 215.28KB </span>","children":null,"spread":false},{"title":"single_factor_loss_plot.png <span style='color:#111;'> 211.02KB </span>","children":null,"spread":false},{"title":"single_factor_loss_plot.png <span style='color:#111;'> 211.02KB </span>","children":null,"spread":false},{"title":"修正前后的效果对比(映射到0-1).png <span style='color:#111;'> 200.23KB </span>","children":null,"spread":false},{"title":"multiple_confusion_matrices_1x4.png <span style='color:#111;'> 171.22KB </span>","children":null,"spread":false},{"title":"multiple_confusion_matrices_1x4.png <span style='color:#111;'> 171.06KB </span>","children":null,"spread":false},{"title":"材料类别平均误差箱形图.png <span style='color:#111;'> 168.40KB </span>","children":null,"spread":false},{"title":"shape_statistics_heatmap.png <span style='color:#111;'> 158.32KB </span>","children":null,"spread":false},{"title":"temperature_statistics_heatmap.png <span style='color:#111;'> 150.52KB </span>","children":null,"spread":false},{"title":"material_statistics_heatmap.png <span style='color:#111;'> 149.61KB </span>","children":null,"spread":false},{"title":"平均误差箱形图.png <span style='color:#111;'> 149.57KB </span>","children":null,"spread":false},{"title":"平均误差箱形图.png <span style='color:#111;'> 149.57KB </span>","children":null,"spread":false},{"title":"......","children":null,"spread":false},{"title":"<span style='color:steelblue;'>文件过多,未全部展示</span>","children":null,"spread":false}],"spread":true}]

评论信息

免责申明

【只为小站】的资源来自网友分享,仅供学习研究,请务必在下载后24小时内给予删除,不得用于其他任何用途,否则后果自负。基于互联网的特殊性,【只为小站】 无法对用户传输的作品、信息、内容的权属或合法性、合规性、真实性、科学性、完整权、有效性等进行实质审查;无论 【只为小站】 经营者是否已进行审查,用户均应自行承担因其传输的作品、信息、内容而可能或已经产生的侵权或权属纠纷等法律责任。
本站所有资源不代表本站的观点或立场,基于网友分享,根据中国法律《信息网络传播权保护条例》第二十二条之规定,若资源存在侵权或相关问题请联系本站客服人员,zhiweidada#qq.com,请把#换成@,本站将给予最大的支持与配合,做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明