Over the past few decades, mathematical models have become an increasingly important tool for Earth scientists to understand and make predictions about how our planet functions and evolves through time and space. These models often consist of partial differential equations (PDEs) that are discretized with a numerical method and solved on a computer.Themost commonly used discretization methods are the finite difference method (FDM), the finite volume method, the finite element method (FEM), the discrete element method, the boundary element method, and various spectral methods.

Data Structures With C++ Using STL(中文版).pdf 数据结构C++描述应用STL

As digital circuit elements decrease in physical size, resulting in increasingly complex systems, a basic logic model that can be used in the control and design of a range of semiconductor devices is vital. Finite State Machines (FSM) have numerous advantages; they can be applied to many areas (including motor control, and signal and serial data identification to name a few) and they use less logic than their alternatives, leading to the development of faster digital hardware systems. This clear and logical book presents a range of novel techniques for the rapid and reliable design of digital systems using FSMs, detailing exactly how and where they can be implemented. With a practical approach, it covers synchronous and asynchronous FSMs in the design of both simple and complex systems, and Petri–Net design techniques for sequential/parallel control systems. Chapters on Hardware Description Language cover the widely–used and powerful Verilog HDL in sufficient detail to facilitate the description and verification of FSMs, and FSM based systems, at both the gate and behavioural levels. Throughout, the text incorporates many real–world examples that demonstrate designs such as data acquisition, a memory tester, and passive serial data monitoring and detection, among others. A useful accompanying CD offers working Verilog software tools for the capture and simulation of design solutions. With a linear programmed learning format, this book works as a concise guide for the practising digital designer. This book will also be of importance to senior students and postgraduates of electronic engineering, who require design skills for the embedded systems market.

1、Xue Mei 的 Robust Visual Tracking using L1 Minimization； 2、有代码有论文，也有相关论文。 3、代码有大量的中文介绍。不同于其他的源代码。非常适合初学者。 4、希望能一起交流学习

通过移动的最小二乘法改变和自定义的控制点操作图片。Image Deformation Using Moving Least Squares 移动最小二乘法 图像变形（matlab实现）

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

Many textbooks today treat the basic topics in analog and digital communication systems, including coding and decoding algorithms and modulation and demodulation techniques. Most of these textbooks focus, by necessity, on the theory that underlies the design and performance analysis of the various building blocks, such as coders, decoders, modulators, and demodulators, that constitute the basic elements of a communications system. Relatively few of the textbooks, especially those written for undergraduates, include applications that motivate students. SCOPE OF THE BOOK The objective of this book is to serve as a companion or supplement to any of the comprehensive textbooks in communication systems. The book provides a variety of exercises that may be solved on a computer (generally, a personal computer is sufficient) using the popular student edition of MATLAB. We intend the book to be used primarily by senior-level undergraduate students and graduate students in electrical engineering, computer engineering, and computer science. This book will also prove useful to practicing engineers who wish to learn specific MATLAB applications for communication systems. We assume that the reader is familiar with the fundamentals of MATLAB. We do not cover those topics because several tutorial books and manuals on MATLAB are available. By design, the treatment of the communications theory topics is brief. We provide the motivation and a short introduction to each topic, establish the necessary notation, and then illustrate the basic notions through an example. The primary text and the instructor are expected to provide the required depth for the topics treated. For example, we introduce the matched filter and the correlator and assert that these devices result in the optimum demodulation of signals corrupted by additive white Gaussian noise (AWGN), but we do not provide a proof of this assertion. Such a proof generally is given in most core textbooks on communication systems.

MIT的Introduction to Computer Science and Programming Using Python 计算机科学及python编程导论课程的的教材,最新版本，是2013年8月份的，绿色封皮那个

面向对象软件工程-使用UML模式和JAVA 第二版 英文版 找了很久的书，中文翻译的较差。

经典的《Radar Systems Analysis and Design Using Matlab》。 第10章。 讲解详实，图文并茂，深入浅出，有理有据。 配合MATLAB源代码。