Random Processes by Example
This volume first introduces the mathematical tools necessary for understanding and working with a broad class of applied stochastic models. The toolbox includes Gaussian processes, independently scattered measures such as Gaussian white noise and Poisson random measures, stochastic integrals, compound Poisson, infinitely divisible and stable...
MATLAB Optimization Techniques
MATLAB is a high-level language and environment for numerical computation, visualization, and programming. Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or...
MCTS 70-620 Exam Prep: Microsoft Windows Vista, Configuring
MCTS 70-620 Exam Prep: Microsoft Windows Vista, Configuring is designed for network administrators, network engineers, and consultants who are pursuing the Microsoft Certified Technology Specialist (MCTS) or Microsoft Certified IT Professional (MCITP) certifications for Windows Vista. This book covers the "TS: Microsoft Windows...
Random Matrix Theory and Wireless Communications Random matrix theory has found many applications in physics, statistics and engineering since its inception. Although early developments were motivated by practical experimental problems, random matrices are now used in fields as diverse as Riemann hypothesis, stochastic differential equations, condensed matter physics, statistical physics, chaotic... Multivariate Public Key Cryptosystems (Advances in Information Security)
Multivariate public key cryptosystems (MPKC) is a fast-developing new area in cryptography. In the past 10 years, MPKC schemes have increasingly been seen as a possible alternative to number theoretic-based cryptosystems such as RSA, as they are generally more efficient in terms of computational effort. As quantum computers are developed, MPKC...
Data Analysis and Classification: Proceedings of the 6th Conference
This volume contains revised versions of selected papers presented at the biennial
meeting of the Classification and Data Analysis Group (CLADAG) of the Italian
Statistical Society, which was held in Macerata, September 12–14, 2007. Carlo
Lauro chaired the Scientific Programme Committee and Francesco Palumbo chaired
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