Address Errors before Users Find Them
Using a mix-and-match approach, Software Test Attacks to Break Mobile and Embedded Devices presents an attack basis for testing mobile and embedded systems. Designed for testers working in the ever-expanding world of "smart" devices driven by software, the book...
Modern Data Science with R is a comprehensive data science textbook for undergraduates that incorporates statistical and computational thinking to solve real-world problems with data. Rather than focus exclusively on case studies or programming syntax, this book illustrates how statistical programming in the...
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...
Provides solutions to all exercises in Kernighan & Ritchie's new ANSI C book. Ideal for use with K&R in any course on C. Careful study of this answer book will help understand ANSI C and enhance programming skills. Tondo & Gimpel describe each solution and completely format programs to show the logical flow.
Customer and Business Analytics: Applied Data Mining for Business Decision Making Using R explains and demonstrates, via the accompanying open-source software, how advanced analytical tools can address various business problems. It also gives insight into some of the challenges faced when deploying these tools....
Graphics for Statistics and Data Analysis with R presents the basic principles of sound graphical design and applies these principles to engaging examples using the graphical functions available in R. It offers a wide array of graphical displays for the presentation of data, including modern tools for data...
With a hands-on approach and focus on problem solving, this introduction to Matlab uses examples drawn from a range of engineering disciplines to demonstrate Matlab’s applications to a broad variety of problems....
With the advancement of statistical methodology inextricably linked to the use of computers, new methodological ideas must be translated into usable code and then numerically evaluated relative to competing procedures. In response to this, Statistical Computing in C++ and R concentrates on the writing of code rather...
Often considered more as an art than a science, the field of clustering has been dominated by learning through examples and by techniques chosen almost through trial-and-error. Even the most popular clustering methods--K-Means for partitioning the data set and Ward's method for hierarchical clustering--have lacked the theoretical...
C for the Microprocessor Engineer is designed to introduce the reader to the use, problems and advantages of using C as the programming medium for embedded microprocessor systems. It can be used as a general stand-alone text in microprocessor technology, since only a limited background is expected in microprocessor hardware and...
This book shares the hard-won wisdom of a highly-successful C++/C programmer - along with a large collection of ANSI-compliant programs that illustrate the true power of C++.This book includes a wide variety of ideas, tips and techniques for programmers of all skill levels. It presents little-known facts about pointers and...
