本压缩文件夹包含 一本英文原版书 《Numerical Methods of Exploration Seismology with algorithms in MATLAB》的PDF版本以及书中的Matlab代码。

方便快捷的3d格式互转工具。支持3ds、max、.x等n中格式。还可以将模型直接转换为OpenGL代码。

Exploratory_Data_Analysis-on-IPL

UnrealEngineExploration：我正在学习如何使用虚幻引擎

title={Graph-based path planning for autonomous robotic exploration in subterranean environments}, author={Dang, Tung and Mascarich, Frank and Khattak, Shehryar and Papachristos, Christos and Alexis, Kostas} 挪威科技大学论文：用于地下环境中自主机器人探索的基于图的路径规划

思科网络技术学院教程CCNA Exploration-网络基础知识.pdf 个人收集电子书，仅用学习使用，不可用于商业用途，如有版权问题，请联系删除！

思科网络技术学院项目是Cisco公司在全球范围推出的一个主要面向初级网络工程技术人员的培训项目。 　　本书为思科网络技术学院CCNA Exploration第4版课程的配套书面教材，此课程是4门新课程中的第1门，主要内容包括：通信和网络的基本概念介绍，OSI和TCP/IP模型介绍，应用层和传输层协议、服务，IP寻址、网络编址和路由基础，数据链路层和物理层的介绍，以太网技术及其原理，网络设计和布线，Cisco路由器和交换机的基本配置。每章的后还提供了复习题，附录中给出答案和解释。术语表中描述了有关网络的术语和缩写词。 　　本书作为思科网络技术学院的指定教材，适合准备参加CCNA认证考试的读者。另外本书也适合各类网络技术人员参考阅读。

Exploratory Data Analysis Using R provides a classroom-tested introduction to exploratory data analysis (EDA) and introduces the range of "interesting" – good, bad, and ugly – features that can be found in data, and why it is important to find them. It also introduces the mechanics of using R to explore and explain data. The book begins with a detailed overview of data, exploratory analysis, and R, as well as graphics in R. It then explores working with external data, linear regression models, and crafting data stories. The second part of the book focuses on developing R programs, including good programming practices and examples, working with text data, and general predictive models. The book ends with a chapter on "keeping it all together" that includes managing the R installation, managing files, documenting, and an introduction to reproducible computing. The book is designed for both advanced undergraduate, entry-level graduate students, and working professionals with little to no prior exposure to data analysis, modeling, statistics, or programming. it keeps the treatment relatively non-mathematical, even though data analysis is an inherently mathematical subject. Exercises are included at the end of most chapters, and an instructor's solution manual is available. About the Author: Ronald K. Pearson holds the position of Senior Data Scientist with GeoVera, a property insurance company in Fairfield, California, and he has previously held similar positions in a variety of application areas, including software development, drug safety data analysis, and the analysis of industrial process data. He holds a PhD in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology and has published conference and journal papers on topics ranging from nonlinear dynamic model structure selection to the problems of disguised missing data in predictive modeling. Dr. Pearson has authored or co-authored books including Exploring Data in Engineeri

思科网络技术学院教程 CCNA Exploration 随书光盘 4张全 作者： Rick Graziani； Allan Johnson

Exploratory+Social+Network+Analysis+With+Pajek.pdf 基于pajek分析社会网络专著