test

矩阵分析与应用(张贤达)的习题解答的答案，个人感觉还是比较详细的(The answer of matrix analysis and application (Zhang Xianda))

子类方法不可比父类方法抛出更多的例外。子类抛出的例外或者与父类抛出的例外一致，或者是父类抛出例外的子类型。或者子类型不抛出例外。(Class methods are not comparable to the parent class method throws more exceptions. The subclass thrown exception or thrown with the parent class exceptions, or the parent class throw exception sub type. Do not throw exceptions or sub type. )

陆吾生教授是加拿大维多利亚大学电气与计算机工程系的教授。此课件为其在国内大学短期精品课程的课件。包含最优化问题求解，压缩感知方法及其在稀疏信号和图像处理中的应用（压缩、重构、降噪等）。(Professor Lu Wusheng University of Victoria, Canada Professor of Electrical and Computer Engineering. The courseware for the University in the domestic short-term quality courses courseware. Contains the optimization problem solving, compressed sensing method and its sparse signal and image processing application (compression, reconstruction, noise reduction, etc.).)

congex的机器视觉的培训教程～，挺不错的 (congex the Machine Vision Training Guide ~, quite good)

说明：  比较实用的电机控制资料，电机MTPA控制，弱磁控制，MTPV控制(motor control.MTPA.MTPV.FOC)

初级了解数据挖掘可下载，大致明白什么是数据挖掘以及简单的案例(Preliminary connection data mining)

新型多端柔性直流输电的控制方法，论文说的很细致，值得参考。(Flexible new multiterminal HVDC control method, the paper said, very detailed, good reference.)

article about umat abaqus

统计学习是计算机及其应用领域的一门重要的学科本书全面系统地介绍了统计学习的主要方法，特别是监督学习方法，包括感知机、K近邻法、朴素贝叶斯法、决策树、逻辑斯谛回归、与最大熵模型、支持向量机、提升方法、EM算法、隐马尔可夫模型和条件随机场等。(Statistical learning is an important subject in the field of computer and application of this book comprehensively systematically introduces the main methods of statistical learning, especially the supervision method of study, including the perception, K neighbor method, naive bayesian method, decision tree, logistic regression, and the maximum entropy model, support vector machine (SVM), promotion methods, the EM algorithm, the hidden markov model and conditional random field, etc.)

说明：  PPT for business office, simple style, suitable for many occasions