MiroStation CONNECTION Edition 10.13.00.48中文帮助文档，拷入安装目录，将原帮忙文档备份后替换，在MicroStation中按F1可打开中文帮助。

Microelectronics: Circuit Analysis and Design, 4th edition SOLUTION By D. A. Neamen

Core Java, Volume I Fundamentals, 12th Edition (Cay S. Horstmann) .pdf JAVA核心编程第12版卷二，英文版，带目录

计算机图形学基础 - 第五版 此版本的计算机图形学基础包括大量重写了材质的阴影，光线反射，路径跟踪，以及许多修正。 这些技术被称为基于物理的技术和渲染和正在成为在实际实践中的主导地位。

This book is supposed to teach you methods of numerical computing that are practical, efficient, and (insofar as possible) elegant. We presume throughout this book that you, the reader, have particular tasks that you want to get done. We view our job as educating you on how to proceed. Occasionally we may try to reroute you briefly onto a particularly beautiful side road; but by and large, we will guide you along main highways that lead to practical destinations.

学校需要购买这本教材，可是实在太贵了，100多刀呢，我就自己照下来做成电子书了，压缩完还是有点大，80M，分4卷上传，这是第1卷 下载完将文件的“+”替换为空格

Fundamentals of Differential Equations (7th Edition)

When it comes to game programming, C++ is the name of the game. If you aspire to move from game player to game creator, it all starts with learning the fundamentals of C++ and game-programming basics. With BEGINNING C++ THROUGH GAME PROGRAMMING, FOURTH EDITION, you will find an up-to-date and thorough introduction to everything you need to get started--with no previous programming experience required. In the new fourth edition of this popular guide to learning C++, you will work with a complete program while learning each new concept and a game program at the end of each chapter. A final game project at the end of the book draws together everything you've learned. Written with the beginning programmer in mind, BEGINNING C++ THROUGH GAME PROGRAMMING, FOURTH EDITION is a great way to get started in game programming. Table of Contents Chapter 1 Types, Variables, and Standard I/O: Lost Fortune Chapter 2 Truth, Branching, and the Game Loop: Guess My Number Chapter 3 for Loops, Strings, and Arrays: Word Jumble Chapter 4 The Standard Template Library: Hangman Chapter 5 Functions: Mad Lib Chapter 6 References: Tic-Tac-Toe Chapter 7 Pointers: Tic-Tac-Toe 2.0 Chapter 8 Classes: Critter Caretaker Chapter 9 Advanced Classes and Dynamic Memory: Game Lobby Chapter 10 Inheritance and Polymorphism: Blackjack Appendix A Creating Your First C++ Program Appendix B Operator Precedence Appendix C Keywords Appendix D ASCII Chart Appendix E Escape Sequences

Scientists today collect samples of curves and other functional observations. This monograph presents many ideas and techniques for such data. Included are expressions in the functional domain of such classics as linear regression, principal components analysis, linear modelling, and canonical correlation analysis, as well as specifically functional techniques such as curve registration and principal differential analysis. Data arising in real applications are used throughout for both motivation and illustration, showing how functional approaches allow us to see new things, especially by exploiting the smoothness of the processes generating the data. The data sets exemplify the wide scope of functional data analysis; they are drwan from growth analysis, meterology, biomechanics, equine science, economics, and medicine.The book presents novel statistical technology while keeping the mathematical level widely accessible. It is designed to appeal to students, to applied data analysts, and to experienced researchers; it will have value both within statistics and across a broad spectrum of other fields. Much of the material is based on the authors' own work, some of which appears here for the first time.Jim Ramsay is Professor of Psychology at McGill University and is an international authority on many aspects of multivariate analysis. He draws on his collaboration with researchers in speech articulation, motor control, meteorology, psychology, and human physiology to illustrate his technical contributions to functional data analysis in a wide range of statistical and application journals.Bernard Silverman, author of the highly regarded "Density Estimation for Statistics and Data Analysis," and coauthor of "Nonparametric Regression and Generalized Linear Models: A Roughness Penalty Approach," is Professor of Statistics at Bristol University. His published work on smoothing methods and other aspects of applied, computational, and theoretical statistics has been recognized by the Presidents' Award of the Committee of Presidents of Statistical Societies, and the award of two Guy Medals by the Royal Statistical Society.

Principles of Electric Circuits