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Mark Filipiak的网格生成，是网格生成的经典著作。包含结构与非结构网格，以及自适应网格。(Mesh generation of Mark Filipiak, is a classic work of grid generation. Including structured and unstructured meshes, and adaptive mesh.)

win7和office2016 激活工具(win7和office2016jihe gongji)

一本非常NB的关于计算机的离散数学与应用书籍！(Discrete Mathematics and its Applications is a focused introduction to the primary themes in a discrete mathematics course, as introduced through extensive applications, expansive discussion, and detailed exercise sets. These themes include mathematical reasoning, combinatorial analysis, discrete structures, algorithmic thinking, and enhanced problem-solving skills through modeling. Its intent is to demonstrate the relevance and practicality of discrete mathematics to all students. The Fifth Edition includes a more thorough and linear presentation of logic, proof types and proof writing, and mathematical reasoning. This enhanced coverage will provide students with a solid understanding of the material as it relates to their immediate field of study and other relevant subjects. The inclusion of applications and examples to key topics has been significantly addressed to add clarity to every subject. True to the Fourth Edition, the text-specific web site supplements the subject matter i)

说明：  opengl入门练习题，有详细说明 实验1 实验环境的熟悉(2) 实验2 OpenGl中图形的绘制(4) 实验3 基本图元绘制(6)(Introductory exercises)

一本介绍微分方程的电子书籍,包含一阶高阶\线性非线性方程的定义及求解方法(introduced a differential equation of e-books includes a band high-ranking linear nonlinear equations and the definition of Solution)

用python爬虫抓站的实用技巧，学习python爬虫抓站的实用知识(Practical Skills of Python Crawler Grab Station)

GBT_17626.4-2008_电磁兼容_试验和测量技术_电快速瞬变脉冲群抗扰度试验.pdf(GBT_17626.4-2008_ _ EMC test and measurement techniques _ electrical fast transient burst immunity test)

ATMEL单片机的规格书，AT89LS8252.pdf，需要的朋友可以下载来看看(ATMEL microcontroller specifications, AT89LS8252.pdf, need to take a look at a friend can be downloaded)

cour de television(systemePAL,SECAM,NTSC,..)

说明：  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.)