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 Digital Signal Processing: A Computer Science PerspectiveGet a working knowledge of digital signal processing for computer science applications The field of digital signal processing (DSP) is rapidly exploding, yet most books on the subject do not reflect the real world of algorithm development, coding for applications, and software engineering. This important new work fills the gap in... |  |  Cryptography: An IntroductionNigel Smart’s Cryptography provides the rigorous detail required for advanced cryptographic studies, yet approaches the subject matter in an accessible style in order to gently guide new students through difficult mathematical topics. Covering the latest developments in computer cryptography, including the Rijndael algorithm chosen for the... |  |  C++: The Complete Reference, 4th EditionIf there is one language that defines modern programming, it is C++. Its syntax, style, and philosophy have set the standard by which all other languages are judged. Furthermore, C++ is the universal language of programming. When an algorithm or technique is described, it is usually done so using the C++ syntax. The long-term success of C++ has... |
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 Elements of ProgrammingElements of Programming provides a different understanding of programming than is presented elsewhere. Its major premise is that practical programming, like other areas of science and engineering,must be based on a solid mathematical foundation. The book shows that algorithms implemented in a real programming language,... |  |  Geometric Spanner NetworksAimed at an audience of researchers and graduate students in computational geometry and algorithm design, this book uses the Geometric Spanner Network Problem to showcase a number of useful algorithmic techniques, data structure strategies, and geometric analysis techniques with many applications, practical and theoretical. The authors present... |  |  Bayesian Computation with R (Use R)The book is a concise presentation of a wide range of Bayesian inferential problems and the computational methods to solve them. The detailed and thorough presentation style, with complete R code for the examples, makes it a welcome companion to a theoretical text on Bayesian inference.... Smart students of statistics will want to have both R and... |
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