Robert Sedgewick has thoroughly rewritten and substantially expanded his popular work to provide current and comprehensive coverage of important algorithms and data structures. Many new algorithms are presented, and the explanations of each...

Based on the author’s course at NYU, Linear Algebra and Probability for Computer Science Applicationsgives an introduction to two mathematical fields that are fundamental in many areas of computer science. The course and the text are addressed to students with a very weak mathematical background. Most of the...

This book is a tutorial on image processing. Each chapter explains basic
concepts with words and figures, shows image processing results with pho-
tographs, and implements the operations in C. Information herein comes
from articles published in The C/C++ Users Journal from 1990 through
1998 and from the first edition of this book...

S is a high-level language for manipulating, analysing and displaying data. It forms the basis of two highly acclaimed and widely used data analysis software systems, the commercial S-PLUS® and the Open Source R. This book provides an in-depth guide to writing software in the S language under either or both of those systems. It...

Data Abstraction and Problem Solving with C++: Walls & Mirrors provides a firm foundation in data abstraction that emphasizes the distinction between specifications and implementation as the basis for an object-oriented approach. Software engineering principles and concepts as well as UML diagrams are used to enhance...

S is a high-level language for manipulating, analysing and displaying data. It forms the basis of two highly acclaimed and widely used data analysis software systems, the commercial S-PLUS® and the Open Source R. This book provides an in-depth guide to writing software in the S language under either or both of those systems. It...

An introduction to probability at the undergraduate level

Chance and randomness are encountered on a daily basis. Authored by a highly qualified professor in the field, Probability: With Applications and R delves into the theories and applications essential to obtaining a thorough understanding of probability.

Although the Trefftz finite element method (FEM) has become a powerful computational tool in the analysis of plane elasticity, thin and thick plate bending, Poisson’s equation, heat conduction, and piezoelectric materials, there are few books that offer a comprehensive computer programming treatment of the subject. Collecting results...

Learn the ins and outs of the Industrial Internet of Things through subjects ranging from its history and evolution, right up to what the future holds.

About This Book

Define solutions that can connect existing systems and newer cloud-based solutions to thousands of thousands of edge devices and...

In my first book on geometric algebra in 2007 the preface described how I had been completely
surprised by the existence of geometric algebra, especially after having recently completed a book
on vector analysis where it was not even mentioned! So why am I writing a second book on the
same subject?Well it’s not because I have...

"...delightful...accessible to anyone who enjoys or enjoyed high school mathematics. Mathematics teachers from middle school through college will find this book fun to read and useful in the classroom. The authors consider more properties, relationships, and applications of the Fibonacci numbers than most other sources do...I enjoyed reading...

Finally, a great training and reference book for Visual C++ by Dr. Prentiss Knowlton, an instructor of C++ since its inception. This book helps you master C++ 2008 quickly and easily by using all the time- and work-saving features of Visual Studio. That's true whether you're a: