▍1. ACS580使用说明书
本手册提供规划安装、安装、调试、使用和维修传动所需的信息(This manual provides information needed for planning installation, installation, commissioning, use and maintenance of the transmission)
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▍2. ACS580使用说明书
说明： 本手册提供规划安装、安装、调试、使用和维修传动所需的信息(This manual provides information needed for planning installation, installation, commissioning, use and maintenance of the transmission)
▍3. 《电力可靠性技术与管理培训教材》
电力系统可靠性教材，电力系统可靠性评估分析(Power System Reliability Textbook, Power System Reliability Assessment and Analysis)
▍4. 《电力可靠性技术与管理培训教材》
说明： 电力系统可靠性教材，电力系统可靠性评估分析(Power System Reliability Textbook, Power System Reliability Assessment and Analysis)
▍5. Guide to FORTRAN 2008 Programming
Guide to FORTRAN 2008 Programming
▍6. Guide to FORTRAN 2008 Programming
说明： Guide to FORTRAN 2008 Programming
▍9. 星载合成孔径雷达干涉测量 王超
insar书籍，基本原理，数据处理算法，基本应用适合初学者(Insar books, basic principles, data processing algorithms, basic applications for beginners)
▍10. 星载合成孔径雷达干涉测量 王超
说明： insar书籍，基本原理，数据处理算法，基本应用适合初学者(Insar books, basic principles, data processing algorithms, basic applications for beginners)
▍13. ARM指令集
arm architecture document. nice book. welcome to download
▍14. ARM指令集
说明： arm architecture document. nice book. welcome to download
▍15. 算法图解.pdf
本书示例丰富,图文并茂,以简明易懂的方式阐释了算法,旨在帮助程序员在日常项目中更好地利用 算法为软件开发助力。前三章介绍算法基础,包括二分查找、大 O 表示法、两种基本的数据结构以及递归 等。余下的篇幅将主要介绍应用广泛的算法,具体内容包括 :面对具体问题时的解决技巧,比如何时采用 贪婪算法或动态规划 ;散列表的应用 ;图算法 ;K 最近邻算法。 本书适合所有程序员、计算机专业相关师生以及对算法感兴趣的读者(This book is rich in examples and illustrates algorithms in a concise and easy-to-understand way. It aims to help programmers make better use of algorithms in daily projects to help software development. The first three chapters introduce the basic algorithms, including binary search, large O representation, two basic data structures and recursion. The rest of the paper will focus on the widely used algorithms, including: when to use greedy algorithm or dynamic programming, hash table application, graph algorithm, K nearest neighbor algorithm when facing specific problems. This book is suitable for all programmers, computer-related teachers and students, and readers interested in algorithms.)
▍16. 算法图解.pdf
说明： 本书示例丰富,图文并茂,以简明易懂的方式阐释了算法,旨在帮助程序员在日常项目中更好地利用 算法为软件开发助力。前三章介绍算法基础,包括二分查找、大 O 表示法、两种基本的数据结构以及递归 等。余下的篇幅将主要介绍应用广泛的算法,具体内容包括 :面对具体问题时的解决技巧,比如何时采用 贪婪算法或动态规划 ;散列表的应用 ;图算法 ;K 最近邻算法。 本书适合所有程序员、计算机专业相关师生以及对算法感兴趣的读者(This book is rich in examples and illustrates algorithms in a concise and easy-to-understand way. It aims to help programmers make better use of algorithms in daily projects to help software development. The first three chapters introduce the basic algorithms, including binary search, large O representation, two basic data structures and recursion. The rest of the paper will focus on the widely used algorithms, including: when to use greedy algorithm or dynamic programming, hash table application, graph algorithm, K nearest neighbor algorithm when facing specific problems. This book is suitable for all programmers, computer-related teachers and students, and readers interested in algorithms.)
▍17. 统计学习方法(李航)
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.)
▍18. 统计学习方法(李航)
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.)
▍19. 力扣网面试题答案 Leetcode-master
力扣网面试题答案，源码，供大家参考参考，祝大家面试顺利(The answer to the interview questions on the Internet, source code, for your reference, I wish you a smooth interview.)
▍20. Leetcode-master
说明： 力扣网面试题答案，源码，供大家参考参考，祝大家面试顺利(The answer to the interview questions on the Internet, source code, for your reference, I wish you a smooth interview.)
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