JAVA架构师知识整理

说明：  C语言从入门到精通，本书主要面向零基础读者，用实例引导读者学习，深入浅出地介绍C语言的相关知识和实战技能。 本书第Ⅰ篇“基础入门”主要讲解C语言概述、C程序开发环境和开发步骤等；第Ⅱ篇“基础知识”主要讲解C语言基本语法、良好的编程习惯、数据的输入和输出、结构化程序设计、数组、模块化设计——函数等(From entry to proficient in C language, this book is mainly for zero-based readers, using examples to guide readers to learn, and explain the relevant knowledge and practical skills of C language in a simple way. The first "Basic Introduction" of this book mainly explains the overview of C language, C program development environment and development steps; the second "Basic Knowledge" mainly explains the basic grammar of C language, good programming habits, data input and output, structure Modular programming, arrays, modular design-functions, etc.)

Phil Kim 编写的英文专著《MATLAB Deep Learning》。(The monograph "MATLAB Deep Learning" written by Phil Kim.)

说明：  TinyOS programming Example and start up

公交系统各种模型及相应的搜索算法,实现最短路,多次倒车最短路的搜索(Public transportation systems of various models and the corresponding search algorithm to achieve the most short-circuit, short circuit repeatedly reversing most of the search)

说明：  经典的C++编程资料，有助于建立面对对象的编程习惯(Classical C++ Programming book)

我找到的一些有关于图像分割的论文,可以作为了解图像分割的材料.(I found some papers on image segmentation, image segmentation can be used as understanding the material.)

说明：  这是MATLAB编程的经典书籍，适用于入门和基础学习。(This is a classic book of MATLAB programming, suitable for introductory and basic learning.)

华为内部模拟电子教材，华为内部模拟电子教材，华为内部模拟电子教材，华为内部模拟电子教材(Huawei internal analog electronic materials, the internal analog electronic materials Huawei Huawei internal analog electronic materials, Huawei internal analog electronic materials)

说明：  《Python数据挖掘入门与实践》高清中文版 本书作为数据挖掘入门读物，介绍了数据挖掘的基础知识、基本工具和实践方法，通过循序渐进地讲解算法，带你轻松踏上数据挖掘之旅。本书采用理论与实践相结合的方式，呈现了如何使用决策树和随机森林算法预测美国职业篮球联赛比赛结果，如何使用亲和性分析方法推荐电影，如何使用朴素贝叶斯算法进行社会媒体挖掘，等等。本书也涉及神经网络、深度学习、大数据处理等内容。本书面向愿意学习和尝试数据挖掘的程序员。("Python Data Mining Getting Started and Practice" HD Chinese version As a primer on data mining, this book introduces the basic knowledge, basic tools and practical methods of data mining. By step-by-step explanation of the algorithm, you can easily embark on the journey of data mining. This book uses a combination of theory and practice, showing how to use the decision tree and random forest algorithm to predict the results of the American professional basketball league game, how to use the affinity analysis method to recommend movies, how to use the naive Bayesian algorithm for social media mining ,and many more. This book also covers neural networks, deep learning, big data processing and more. This book is for programmers who are willing to learn and experiment with data mining.)

用于产生垂向渗透率 根据的是渗透率变异系数 其中层数可以任意给定(Used to produce vertical permeability is based on the permeability coefficient of variation which can be given low-rise)