Linear_Algebra_and_Its_Applications_5th_Edition_David_C._Lay, 线性代数及其应用, 第五版.
2022-02-14 09:49:40 29.27MB 线性代数
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An Evaluation Study on Log Parsing and Its Use in Log Mining
2022-02-10 08:46:32 298KB 研究论文
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《离散数学及其应用》英文第七版,pdf版本,清晰可复制
2022-02-09 09:04:00 10.48MB 离散数学
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这是一本经典的数学史作品,而作者John Stillwell 在读者中享有 通俗易懂 的盛誉,有兴趣的同学可以搜一搜其在 GTM(斯普林格 研究生数学丛书)收录的教科书,而这一部 数学史 是 著名图书《复分析:可视化方法》作者强烈推荐的配套阅读图书,所以 郑重地推荐给大家阅读。 顺便说下:这本图书有第二版,但无论第一版第二版均没有授权给国内出版 以及译作,而Google上给出的是部分内容,所以我费了不少的周折从网上搜到下载,很抱歉,是第一版,Djvu格式,同学可以下载阅读器即可,而且个人来说 这一个格式相较 PDF 更小,而且效果不打折扣,作为电子书阅读 在一定程度上 比PDF更佳。
2022-02-07 20:04:24 8.76MB 数学 数学史 复分析可视化方法
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整理收集了Unity中开发交通系统的插件,允许用户快速创建和模拟小或大的动态交通网络的任何类型的车辆通过放置不同的道路和交通灯 节省了大量的时间! 不需要编写交通AI代码! 直接开始制作你的游戏,而不是编写代码! 你可以创建真正复杂的道路网络! 创建任意形状和数量的车道,即市区道路,高速公路,各种道路都可以模拟!
2022-01-11 10:33:36 64.15MB Unity插件 交通系统 iTS
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通过区块链的联邦学习及其延迟分析
2022-01-10 19:14:48 1.92MB 区块链 联邦学习
国标,合作式智能运输系统 专用短程通信 第1部分:总体技术要求,对于智能交通从业者是非常好的学习材料。
2022-01-08 14:02:57 582KB 智能交通 ITS DSRC
合作式智能运输系统 专用短程通信 第2部分:媒体访问控制层和物理层规范.pdf,对于智能交通从业者是非常难得的学习资料。
2022-01-08 14:02:56 2.9MB 智能交通 ITS DSRC
时间序列分析 经典教材 The fourth edition of this popular graduate textbook, like its predecessors, presents a balanced and comprehensive treatment of both time and frequency domain methods with accompanying theory. Numerous examples using nontrivial data illustrate solutions to problems such as discovering natural and anthropogenic climate change, evaluating pain perception experiments using functional magnetic resonance imaging, and monitoring a nuclear test ban treaty. The book is designed as a textbook for graduate level students in the physical, biological, and social sciences and as a graduate level text in statistics. Some parts may also serve as an undergraduate introductory course. Theory and methodology are separated to allow presentations on different levels. In addition to coverage of classical methods of time series regression, ARIMA models, spectral analysis and state-space models, the text includes modern developments including categorical time series analysis, multivariate spectral methods, long memory series, nonlinear models, resampling techniques, GARCH models, ARMAX models, stochastic volatility, wavelets, and Markov chain Monte Carlo integration methods. This edition includes R code for each numerical example in addition to Appendix R, which provides a reference for the data sets and R scripts used in the text in addition to a tutorial on basic R commands and R time series. An additional file is available on the book’s website for download, making all the data sets and scripts easy to load into R.
2022-01-07 17:37:44 9.84MB Time Series
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T_ITS 0152-2020 道路视频摄像机智能分析功能及分级要求
2022-01-06 18:02:02 528KB 智能分析 AI
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