英文版-复数矩阵的求导公式的详细的推导过程及结论

Traditional routing schemes, such as OSPF, optimize data plane routing e±ciency by maintaining full view of the network at the control plane. However, maintaining full network view and handling frequent routing information updates are costly in large-scale complex networks, which are considered to be the root causes for the routing scalability issue. Recently, it is suggested that routing on local or partial information is plausible if slight performance degradatio

Researches of complex networks such as social networks are becoming popular in recent years. Due tothe large scale and complex structure of these networks, analysis and studies on a complete networkrequire a lot of computational resources and storage space, which will also consume a large amount ofe

An algorithm is proposed for the fast reconstruction of off-axis digital holograms based on a combination of complex encoding (CE) and spatial multiplexing (SM). In this algorithm, every two off-axis holograms recorded in sequence are first assembled into a CE hologram using the CE method, and then four of the CE holograms are again encoded into one complex spatial multiplexing (CSM) hologram based on the SM algorithm. It is demonstrated that the eight holograms encoded into such one CSM hologra

Frequency Domain to Baseband-complex time-domain Modeling in RF Blockset.zip

在激光雷达点云上实现「实时3D目标检测」，德国伊尔梅瑙工业大学做到了

作者: (美) 尼达姆 (Needham, T.)，人民邮电出版社有本书的翻译本。本书用一种真正不同寻常的、独具创造性的视角和可以看得见的论证方式解释初等复分析的理论，公开挑战当前占统治地位的纯符号逻辑推理。作者通过大量的图示使原本比较抽象的数学概念，变得直观易懂，读者在透彻理解理论的同时，还能充分领略数学之美。

System Architecture Strategy and Product Development for Complex Systems PDF 版本

This book covers construction, exploration, analysis, and visualization of complex networks using NetworkX (a Python library), as well as several other Python modules, and Gephi, an interactive environment for network analysts. The book is not an introduction to Python. I assume that you already know the language, at least at the level of a freshman programming course. The book consists of five parts, each covering specific aspects of complex networks. Each part comes with one or more detailed case studies. Part I presents an overview of the main Python CNA modules: NetworkX, iGraph, graph-tool, and networkit. It then goes over the construction of very simple networks both programmatically (using NetworkX) and interactively (in Gephi), and it concludes by presenting a network of Wikipedia pages related to complex networks. In Part II, you’ll look into networks based on explicit relationships (such as social networks and communication networks). This part addresses advanced network construction and measurement techniques. The capstone case study—a network of “Panama papers”—illustrates possible money-laundering patterns in Central Asia. Networks based on spatial and temporal co-occurrences—such as semantic and product networks—are the subject of Part III. The third part also explores macroscopic and mesoscopic complex network structure. It paves the way to network-based cultural domain analysis and a marketing study of Sephora cosmetic products. If you cannot find any direct or indirect relationships between the items, but still would like to build a network of them, the contents of Part IV come to the rescue. You will learn how to find out if items are similar, and you will convert quantitative similarities into network edges. A network of psychological trauma types is one of the outcomes of the fourth part. The book concludes with Part V: directed networks with plenty of examples, including a network of qualitative adjectives that you could use in computer games or

最全的复杂网络的MATLAB工具箱，内含大量源代码，直接可用，找了很久才找到的的，觉得不错记得分享应用心得哦！