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梦溪笔谈(译本).doc

openkg四大名著人物关系数据集.zip

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四大名著的电子版，《红楼梦》、《水浒传》、《三国演义》、《西游记》。

Networks constitute the backbone of complex systems, from the human brain to computer communications, transport infrastructures to online social systems, metabolic reactions to financial markets. Characterising their structure improves our understanding of the physical, biological, economic and social phenomena that shape our world. Rigorous and thorough, this textbook presents a detailed overview of the new theory and methods of network science. Covering algorithms for graph exploration, node ranking and network generation, among the others, the book allows students to experiment with network models and real-world data sets, providing them with a deep understanding of the basics of network theory and its practical applications. Systems of growing complexity are examined in detail, challenging students to increase their level of skill. An engaging pre- sentation of the important principles of network science makes this the perfect reference for researchers and undergraduate and graduate students in physics, mathematics, engineering, biology, neuroscience and social sciences.

Here you find all the data sets described and analysed in the textbook: "Complex Networks: Principles, Methods and Applications", V. Latora, V. Nicosia, G. Russo (Cambridge University Press, 2017) For each data set you find below a brief description and a list of salient properties (number of node, number of edges, etc.). All data sets All the data sets of the textbook are available for download in a single compressed file: All the data sets in the book (zip) The archive contains one folder for each dataset, The file README.txt in each folder contains some relevant information about the corresponding data set.

统编版语文五年级下册2021快乐读书吧：读古典名著，品百味人生.pptx

Mathematical Methods of Statistics - Cramer 统计数学奠基性著作 In this classic of statistical mathematical theory, Harald Cramér joins the two major lines of development in the field: while British and American statisticians were developing the science of statistical inference, French and Russian probabilitists transformed the classical calculus of probability into a rigorous and pure mathematical theory. The result of Cramér's work is a masterly exposition of the mathematical methods of modern statistics that set the standard that others have since sought to follow. For anyone with a working knowledge of undergraduate mathematics the book is self contained. The first part is an introduction to the fundamental concept of a distribution and of integration with respect to a distribution. The second part contains the general theory of random variables and probability distributions while the third is devoted to the theory of sampling, statistical estimation, and tests of significance.

中考语文最新复习资料--名著阅读决战中考2021系列.doc