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.

可靠性数据分析经典书籍Statistical Methods for Reliability Data

计算电磁学专著，介质金属复合结构的模拟，电磁散射，天线优化，矩量法

本标准规定了对过程控制方法的要求，以维持产品的一致性。这包括培训、控制方法的选择、对其有效性的分析和改进，以及随后的监测和控制。它适用于控制计划中记录的所有控制。这将包括但不限于关键特性（KCs）和关键项目（CIs）。

IEC 62506：2013提供了各种加速测试技术在测量或提高产品可靠性方面的应用指南。 识别产品/项目的使用中可能遇到的潜在故障模式及其缓解措施对于确保项目的可靠性至关重要。 这些方法的目的是在压缩或加速的时间内识别潜在的设计弱点或提供有关项目可靠性的信息，或实现必要的可靠性/可用性改进。 该标准解决了不可修复和可修复系统的加速测试。

Mathematical programming has know a spectacular diversification in the last few decades. This process has happened both at the level of mathematical research and at the level of the applications generated by the solution methods that were created. To write a monograph dedicated to a certain domain of mathematical programming is, under suchcircumstances,especially difficult. In the present monograph we opt for the domain of fractional programming. Interest of this subject was generated by the fact that various optimization problems from engineering and economics consider the minimization of a ratio between physical and/or economical functions, for example cost/time, cost/volume,cost/profit, or other quantities that measure the efficiency of a system. For example, the productivity of industrial systems, defined as the ratio between the realized services in a system within a given period of time and the utilized resources, is used as one of the best indicators of the quality of their operation. Such problems, where the objective function appears as a ratio of functions, constitute fractional programming problem. Due to its importance in modeling various decision processes in management science, operational research, and economics, and also due to its frequent appearance in other problems that are not necessarily economical, such as information theory, numerical analysis, stochastic programming, decomposition algorithms for large linear systems, etc., the fractional programming method has received particular attention in the last three decades. ,解压密码 share.weimo.info

L. Kuncheva 2004 年的 Combining Pattern Classifiers Methods and Algorithms

非线性优化经典著作——《methods for nonlinear least square problems》

ThisbookteachesC++andusesittosolvepartialdifferentialequations(PDEs). Basic and advanced numerical methods are introduced and implemented easily and efficiently in a unified object-oriented approach. The powerful features and advanced tools available in C++ are particularly useful for implementing the complex mathematical objects that are often used in numerical modeling. The code segments and their detailed explanations show how easy it is to implement advanced algorithms such as finite elements and multigrid.