This book intends to bridge two widely studied research areas: machine learning and complex networks. Therefore, we hope it will generate broad interests to the scientific community. This book is intended to be employed by researchers and students who are interested in machine learning and complex networks. To accomplish that, not only have we included classic knowledge but also recent research results. This book is aimed to be self-contained and to give interested readers insights on modeling, analysis, and applications of network-based machine learning techniques. We also provide pointers to the literature for further reading on each explored topic. Moreover, numerous illustrative figures and step-by-step examples help readers to understand the main ideas and implementation details

设计的复数类，含以下方法： 1、含两个复数的加、减、乘、除运算 2、与实数的加、减、乘、除运算 3、使用静态函数将两个复数的加、减、乘、除 4、使用友元函数进行复数与实数的加、减、乘、除运算

The S transform, which is introduced in this correspondence, is an extension of the ideas of the continuous wavelet transform (CWT) and is based on a moving and scalable localizing Gaussian window. It is shown here to have some desirable characteristics that are absent in the continuous wavelet transform.

双树复小波发明人Kingsbury于05年发表在IEEE上一篇长达29页的关于双树复小波的文章。此文章覆盖复小波涉及到的诸多方面，结构层次分明，理论清晰，值得收藏。

"Engineering the complex SOC fast flexible design with configurable processors"是一本关于复杂SOC设计的一本书，值得阅读。

Princeton Lectures in Analysis - Elias M. Stein, Rami Shakarchi著 包括以下三本： 1. Fourier Analysis an Introduction 2. Complex Analysis 3. Real Analysis

We suggest tailoring of the illumination’s complex degree of coherence for imaging specific two- and three-point objects with resolution far exceeding the Rayleigh limit. We first derive a formula for the image intensity via the pseudo-mode decomposition and the fast Fourier transform valid for any partially coherent illumination (Schell-like, non-uniformly correlated, twisted) and then show how it can be used for numerical image manipulations. Further, for Schell-model sources, we show the impr

富俱乐部连通性的作用在复杂网络的结构属性和功能行为中很重要。 在这项研究中，我们发现相互连接的富节点的一小部分是否会严重影响异构网络中基本构件（基序）的出现频率。 相反，同构网络是否具有富人俱乐部通常不会对其结构产生重大影响。 这些发现为通过操纵富俱乐部连接来优化和控制复杂网络的结构提供了可能性。 此外，基于子图比率配置文件，我们开发了一种更严格的方法来判断网络是否具有富人俱乐部。 新方法不计算富节点之间有多少个链接，而是取决于富节点之间的链接如何影响整体结构以及给定网络的功能。

MODELING OF COMPLEX PHYSICS SPEEDS CHIP DEVELOPMENT

英文版-复数矩阵的求导公式的详细的推导过程及结论