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Assembly Language for Intel-Based Computers (4th Edition)

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For undergraduate courses in assembly language programming and introductory courses in computer systems and computer architecture. This complete and fully updated study of assembly language for the IBM-PC teaches students how to write and debug programs at the machine level. Based on the Intel processor family, the text simplifies and demystifies concepts that students need to grasp before they can go on to more advanced computer architecture or operating systems courses.

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Agile Model-Based Development Using UML-RSDS
Agile Model-Based Development Using UML-RSDS

This book describes the concepts and application of model-based development (MBD), model transformations, and Agile MBD to a wide range of software systems. It covers systems requirements engineering, system specification and design, verification, reuse, and system composition in the context of Agile MBD. Examples of applications in...

The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)
The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)

This book describes the important ideas in a variety of fields such as medicine, biology, finance, and marketing in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of colour graphics. It is a valuable resource...

Programming Fundamentals: A Modular Structured Approach Using C++
Programming Fundamentals: A Modular Structured Approach Using C++
The approach of this text is to take learners through a progression of materials in order to develop skills of modular, structured programming. The text was written, for the most part, without consideration of a specific programming language. However, in many cases the C++ language is discussed as part of the explanation of the concept. Often...

Introductory Statistics with R (Statistics and Computing)
Introductory Statistics with R (Statistics and Computing)
This book provides an elementary-level introduction to R, targeting both non-statistician scientists in various fields and students of statistics. The main mode of presentation is via code examples with liberal commenting of the code and the output, from the computational as well as the statistical viewpoint. Brief sections introduce the...
Multicore DSP: From Algorithms to Real-time Implementation on the TMS320C66x SoC
Multicore DSP: From Algorithms to Real-time Implementation on the TMS320C66x SoC

The only book to offer special coverage of the fundamentals of multicore DSP for implementation on the TMS320C66xx SoC

This unique book provides readers with an understanding of the TMS320C66xx SoC as well as its constraints. It offers critical analysis of each element, which not only broadens their knowledge of...

Seamless R and C++ Integration with Rcpp (Use R!)
Seamless R and C++ Integration with Rcpp (Use R!)
Rcpp is the glue that binds the power and versatility of R with the speed and efficiency of C++.  With Rcpp, the transfer of data between R and C++ is nearly seamless, and high-performance statistical computing is finally accessible to most R users.  Rcpp should be part of every statistician's toolbox.  -- Michael...
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