Lua程序设计（第2版）中文

The Python 3 Standard Library by Example

gamit研究的丰富资料，里面包含各类研究论文(gamit processing data)

these of diagnosis electrical machine

项目工作总结报告范文,项目的前期市场调研总结等例子,对项目管理人员有帮助(Pham Van project summary report)

本书结合作者的研究工作，详细介绍了基于线性矩阵不等式的不确定系统鲁棒控制的概念、理论及设计方法。主要内容包括目前应用广泛的线性矩阵不等式的概念、理论、算法及相关软件；基于线性矩阵不等式处理方法的线性时不变系统性能分析和综合方法；重点介绍了不确定系统的模型、鲁棒性能分析、鲁棒H2/H∞控制、LMI区域及相应的区域极点配置方法、结合二次型性能指标的保性能控制、鲁棒方差控制等。 (This book combines the author' s research work, described in detail based on the linear matrix inequalities robust control of uncertain systems of concepts, theories and design methods. Including the current application of the main contents of a wide range of linear matrix inequalities of the concepts, theories, algorithms and related software treatment based on linear matrix inequalities linear time-invariant system performance analysis and synthesis methods focuses on the uncertain system model, Robust performance analysis, robust H2/H ∞ control, LMI region and the corresponding regional pole placement method, combined with quadratic performance index of the guaranteed cost control, Robust variance control.)

说明：  讲述了统计学的本质，系统的讲述了统计的基本应用与知识(This paper describes the essence of statistics, and systematically describes the basic application and knowledge of statistics)

说明：  Python入门书籍，最新版，简单易学。 Make Your Own Python Text Adventure_ A Guide to Learning Programming(Phillip Johnson (auth.) - Make Your Own Python Text Adventure_ A Guide to Learning Programming-Apress (2018))

包含c语言的所有库函数，并附有实例，非常实用的程序员手册。(C language contains all the library functions, together with examples, very practical programmers manual.)

Wigner-ville函数的ppt教程，可应用于信号的处理(Ppt tutorials Wigner-ville function can be applied to signal processing)

A commented bash script to generate our final 2nd place solution can be found in make_kaggle_solution.sh. Running all the commands sequentially will probably take 7 - 10 days on recent consumer grade hardware. If you have multiple GPUs you can speed things up by doing training and feature extraction for the two networks in parallel. However, due to the computationally heavy data augmentation it may be far less than twice as fast especially when working with 512x512 pixel input images. You can also obtain a quadratic weighted kappa score of 0.839 on the private leaderboard by just training the 4x4 kernel networks and by performing only 20 feature extraction iterations with the weights that gave you the best MSE validation scores during training. The entire ensemble only achieves a slightly higher score of 0.845.