opengl编程指南，学习现代opengl编程的必备好书。带有全目录

For graduate-level neural network courses offered in the departments of Computer Engineering, Electrical Engineering, and Computer Science. Renowned for its thoroughness and readability, this well-organized and completely up-to-date text remains the most comprehensive treatment of neural networks from an engineering perspective. Refocused, revised and renamed to reflect the duality of neural networks and learning machines, this edition recognizes that the subject matter is richer when these topics are studied together. Ideas drawn from neural networks and machine learning are hybridized to perform improved learning tasks beyond the capability of either independently.

Ross's classic bestseller, Introduction to Probability Models, has been used extensively by professionals and as the primary text for a first undergraduate course in applied probability. It provides an introduction to elementary probability theory and stochastic processes, and shows how probability theory can be applied to the study of phenomena in fields such as engineering, computer science, management science, the physical and social sciences, and operations research. With the addition of several new sections relating to actuaries, this text is highly recommended by the Society of Actuaries. A new section (3.7) on COMPOUND RANDOM VARIABLES, that can be used to establish a recursive formula for computing probability mass functions for a variety of common compounding distributions. A new section (4.11) on HIDDDEN MARKOV CHAINS, including the forward and backward approaches for computing the joint probability mass function of the signals, as well as the Viterbi algorithm for determining the most likely sequence of states. Simplified Approach for Analyzing Nonhomogeneous Poisson processes Additional results on queues relating to the (a) conditional distribution of the number found by an M/M/1 arrival who spends a time t in the system,; (b) inspection paradox for M/M/1 queues (c) M/G/1 queue with server breakdown Many new examples and exercises.

完美破解的版本，先安装不运行，然后运行patch，重启之后就是注册版本了。

Data Structures and Algorithm Analysis in C++ Third Edition (Mark Allen Weiss) 答案 国外的下载要教师资格。这本书不简单。所谓的编程思想，就在这了。

Focusing on high-dimensional applications, this 4th edition presents the tools and concepts used in multivariate data analysis in a style that is also accessible for non-mathematicians and practitioners. It surveys the basic principles and emphasizes both exploratory and inferential statistics; a new chapter on Variable Selection (Lasso, SCAD and Elastic Net) has also been added. All chapters include practical exercises that highlight applications in different multivariate data analysis fields: in quantitative financial studies, where the joint dynamics of assets are observed; in medicine, where recorded observations of subjects in different locations form the basis for reliable diagnoses and medication; and in quantitative marketing, where consumers’ preferences are collected in order to construct models of consumer behavior. All of these examples involve high to ultra-high dimensions and represent a number of major fields in big data analysis. The fourth edition of this book on Applied Multivariate Statistical Analysis offers the following new features: A new chapter on Variable Selection (Lasso, SCAD and Elastic Net) All exercises are supplemented by R and MATLAB code that can be found on www.quantlet.de. The practical exercises include solutions that can be found in Härdle, W. and Hlavka, Z., Multivariate Statistics: Exercises and Solutions. Springer Verlag, Heidelberg. Table of Contents Part I Descriptive Techniques Chapter 1 Comparison of Batches Part II Multivariate Random Variables Chapter 2 A Short Excursion into Matrix Algebra Chapter 3 Moving to Higher Dimensions Chapter 4 Multivariate Distributions Chapter 5 Theory of the Multinormal Chapter 6 Theory of Estimation Chapter 7 Hypothesis Testing Part III Multivariate Techniques Chapter 8 Regression Models Chapter 9 Variable Selection Chapter 10 Decomposition of Data Matrices by Factors Chapter 11 Principal Components Analysis Chapter 12 Factor Analysis Chapter 13 Cluster Analysis Chapter 14 Discriminant Analysis Chapter 15 Correspondence Analysis Chapter 16 Canonical Correlation Analysis Chapter 17 Multidimensional Scaling Chapter 18 Conjoint Measurement Analysis Chapter 19 Applications in Finance Chapter 20 Computationally Intensive Techniques Part IV Appendix Chapter 21 Symbols and Notations Chapter 22 Data

The Design of CMOS Radio-Frequency Integrated Circuits, Second Edition

Digital Techniques for Wideband Receivers第3版，是关于数字信号处理技术的参考教材，作者是James Tsui和Chi-Hao Cheng.本书是高清文本pdf本非扫描版。

C Programming A Modern Approach, 2nd Edition(Part 2)

C Programming A Modern Approach, 2nd Edition(Part 1)