北京理工大学数学建模校赛A题-----工厂机器排班问题
Problem A of the Mathematical Modeling Competition of Beijing University of Science and Technology ----- Scheduling of Factory Machines (2024-04-08, Others, 0KB, 下载0次)
这是阮杰在浙江大学玉泉校区收集的包含2D激光扫描和里程计的数据集。
This is the data set containing 2D laser scan and odometry collected by ruanjy in Yuquan campus, Zhejiang University. (2024-01-28, Others, 0KB, 下载0次)
本人参加过三次数学建模竞赛,分别是国赛、研赛和美赛,国赛和研赛均是一等奖,并且研赛的比赛论文是优秀论文。除此之外,其他任何比赛包括校赛、区域级别的数模均未参加过。 我会在这里不定期更新我收集、整理的自认为很有用的数学建模资料,持续更新ing,
I have participated in three mathematical modeling competitions, namely, the national championship, the research contest and the US championship. Both the national championship and the research contest are first prizes, and the competition papers of the research contest are excellent papers. In addition, no other competitions, including school competitions and regional level mathematical models, have participated. I will update the mathematical modeling data I collect and sort out here irregularly, and keep updating, (2023-08-04, Others, 0KB, 下载0次)
集合了目前武汉的建筑数据,收集了shp\gitf\blender三种文件,并且单独优化了武汉轻工大学(WHPU)校区的建筑模型
It has collected the current construction data of Wuhan, collected shp gitf blender files, and separately optimized the building model of Wuhan University of Light Industry (WHPU) campus (2023-03-06, Others, 0KB, 下载0次)
五一数学建模校赛 这是全部题目及论文
May Day Mathematical Modeling Contest This is all the topics and papers (2020-09-28, Others, 0KB, 下载0次)
这本书的主题，贝叶斯统计，帮助我们更好地推理关于不确定性，就像在学校学习逻辑帮助我们看到 日常逻辑思维中的错误。因为几乎每个人都要处理他们日常生活中的不确定性，正如我们刚才讨论的，这让观众因为这本书很广。数据科学家和研究人员已经在使用统计学将受益于更深入的理解和直觉工具起作用。工程师和程序员将学到很多关于他们可以更好地量化他们必须做出的决定
The subject of this book, Bayesian statistics, helps us get better at reasoning
about uncertainty, just as studying logic in school helps us to see the errors in everyday logical thinking. Given that virtually everyone deals with uncertainty in their daily life, as we just discussed, this makes the audience for this book pretty wide. Data scientists and researchers already using statistics will benefit from a deeper understanding and intuition for how these tools work. Engineers and programmers will learn a lot about how they can better quantify decisions they have to make (2020-08-04, Others, 3338KB, 下载0次)