Matrix Differential Calculus with Applications in Statistics and Econometrics 张贤达的《矩阵分析与应用》的主要参考书

Springer 统计学习导论与R应用第八次印刷2017年

书名：Elementary Linear Algebra with Applications (9th Edition) 作者：Bernard Kolman , David Hill Hardcover: 720 pages Publisher: Prentice Hall; 9 edition (May 13, 2007) Language: English 这是我找了很久都没有找到的。我只好买了一本扫描上来。注意，这本书和Howard Anton的书同名，但不一样，Anton的书网上随处可见，本书却没有，可能是用的人较少的缘故吧。

第二部分压缩文件 书名：Elementary Linear Algebra with Applications (9th Edition) 作者：Bernard Kolman , David Hill Hardcover: 720 pages Publisher: Prentice Hall; 9 edition (May 13, 2007) Language: English 这是我找了很久都没有找到的。我只好买了一本扫描上来。注意，这本书和Howard Anton的书同名，但不一样，Anton的书网上随处可见，本书却没有，可能是用的人较少的缘故吧。

压缩文件的第一部分 书名：Elementary Linear Algebra with Applications (9th Edition) 作者：Bernard Kolman , David Hill Hardcover: 720 pages Publisher: Prentice Hall; 9 edition (May 13, 2007) Language: English 这是我找了很久都没有找到的。我只好买了一本扫描上来。注意，这本书和Howard Anton的书同名，但不一样，Anton的书网上随处可见，本书却没有，可能是用的人较少的缘故吧。

Because of their high noise immunity and low static power supply drain, complementary metal-oxide-semiconductor (CMOS) devices produce less heat than other forms of logic and allow a high density of logic functions on a chip. These beneficial characteristics have fueled the use of CMOS image sensors in consumer electronics, robot vision, biotechnology, and medicine. With the introduction of smart functions in CMOS image sensors, even more versatile applications are now possible. Exploring this popular technology, Smart CMOS Image Sensors and Applications focuses on the smart functions implemented in CMOS image sensors as well as the applications of these sensors. After discussing the history of smart CMOS image sensors, the book describes the fundamental elements of CMOS image sensors. It covers some optoelectronic device physics and introduces typical CMOS image sensor structures, such as an active pixel sensor (APS). Subsequent chapters elucidate the functions and materials of smart CMOS image sensors and present examples of smart imaging. The final chapter explores various applications of smart CMOS image sensors. Several appendices supply a range of information on constants, illuminance, MOSFET characteristics, and optical resolution. This book provides a firm foundation in existing smart CMOS image sensor technology and applications, preparing you for the next phase of smart CMOS image sensors.

離散和連續傅立葉轉換分析的運用

Data Structures, Algorithms and Applications in C++ Second Edition Sartraj Sahni | Universities Press 2005 | ISBN: 817371522X | PDF | 826 Pages | 27 MB Description The study of data structures and algorithms is fundamental to computer science and engineering. A mastery of these areas is essential for us to develop computer programs that utilize computer resources in an effective manner. This book is a nice description of data structures in C++. The Part I of book consist of c++ review and preliminaries, Part II consists of data structures including Lists, Dictionaries, Stacks, Queues and trees and their different types of representations, Arrays and Matrices, Graphs and Performance analysis and Part III consists of Algorithm-Design Methods including Greedy method, Divide and conquer, Dynamic Programming, Backtracking (on the web), Branch and Bound (on the web). Table of Contents Part I Preliminaries Chapter 1 C++ Review Chapter 2 Performance Analysis Chapter 3 Asymptotic Notation Chapter 4 Performance Measurement Part II Data Structures Chapter 5 Linear Lists - Arrays Representation Chapter 6 Linear Lists - Linked Representation Chapter 7 Arrays and Matrices Chapter 8 Stacks Chapter 9 Queues Chapter 10 Skip Lists and Hashing Chapter 11 Binary and Other Trees Chapter 12 Priority Queues Chapter 13 Tournament Trees Chapter 14 Binary Search Trees Chapter 15 Balanced Search Trees Chapter 16 Graphs Part III Algorithm Design Methods Chapter 17 The Greedy Method Chapter 18 Divide and Conquer Chapter 19 Dynamic Programming Chapter 20 Backtracking (On the Web) Chapter 21 Branch and Bound (On the Web) Index

This definitive textbook provides a solid introduction to discrete and continuous stochastic processes, tackling a complex field in a way that instills a deep understanding of the relevant mathematical principles, and develops an intuitive grasp of the way these principles can be applied to ...

《交通大数据理论与方法》 目录 背景 随着信息通讯技术的不断发展，各行各业都产生了海量的数据，与此同时，一门新的学科应运而生—— 数据挖掘。数据挖掘是从大量数据（包括文本数据）中挖掘出隐含的、先前未知的、对决策有潜在价值的信 息、知识和关联关系，并基于这些信息和相应规则建立可用于决策支持与优化分析的模型，提供可支持预测 性决策的方法和工具。此外，数据挖掘还可帮助企业和科研团体发现业务与学科中的新趋势，揭示已知的 事实，预测未知的结果，因此“数据挖掘”已成为其保持竞争力的必要手段。 在大数据发展的背景下，交通领域的各类大数据同样以惊人的速度产生，并被应用于各种各样的应用 场景。例如，基于手机信令数据分析城市人口分布及交通出行分布特征，从而为交通规划的进一步决策提 供量化依据；利用网约车数据分析城市路网流量，进而优化信号配时方案，提升交通控制方案的效率；利用 线圈、视频、浮动车等多源数据，实现