【3】、Functions of one complex variable, John B. Conway 两卷本,内容较全。 【4】、The Theory of Functions, Titchmarsh 这是Rudin写书时自己参考的一本书。网上可以找到中译本。比较老了,但依旧很有参考价值。 【5】、Classical Fourier Analysis, Loukas Grafakos 这本书是我做一些有关Fourier分析习题时...
无障碍 登录/注册 唐亮 软件工程师 Big Rudin:Real And Complex Analysis使用攻略下(复分析部分)73 赞同 · 13 评论文章 发布于 2020-12-20 21:47 0 分享 收藏举报 登录知乎,您可以享受以下权益: 立即登录/注册
第一本，Baby Rudin的习题是大部分本科生最好做完的。第二本, Big Rudin的习题（特别是实分析）部...
This paper provides a multi-disciplinary overview of the research issues and achievements in the field of Big Data and its visualization techniques and tools. The main aim is to summarize challenges in visualization methods for existing Big Data, as well
Rudin, D.R. Jones, P.S. Steeg, H. Peinado, C.M. Ghajar, J. Bromberg, M. de Sousa, D. Pisapia, D. Lyden Tumour exosomal CEMIP protein promotes cancer cell colonization in brain metastasis Nat. Cell Biol., 21 (11) (2019), pp. 1403-1412 CrossrefView in ScopusGoogle Scholar [...
Lost Causewas part of a “blind deal” Taylor had with Paramount’s Scott Rudin, now at Disney. The fate of Taylor’s deal is unclear. Writing with his other half, Taylor said, opens a script to new possibilities. “I’ll see it through different eyes when I’m sitting next to Alexa...
The explosive growing number of data from mobile devices, social media, Internet of Things and other applications has highlighted the emergence of big data. This paper aims to determine the worldwide research trends on the field of big data and its most
More recently, a man named Scott Rudin has produced just about every intelligent film adaptation of the last twenty-five years—The Social Network, The Truman Show, No Country For Old Men, Julie & Julia, Revolutionary Road, There Will Be Blood, Notes On A Scandal, etc. He’s accomplished...
即使你现在掌握了，也代表不了什么。如果你后续不搞分析，那么这些知识几乎用不上。如果几乎用不上，那你几个月以后就会忘的一干二净，等到要用时你还得重新再学一遍。
These include real-time processing, handling complex data types, and concurrent data processing, etc. Traditional data mining and machine learning methods have limitations in Big Data analytics. Deep learning is capable of the analysis and learning of massive amounts of unsupervised data; therefore, ...