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Financial Instrument Pricing Using C++ (The Wiley Finance Series)
Financial Instrument Pricing Using C++ (The Wiley Finance Series)

The goal of this book is to model financial instruments, such as options, bonds and interest-rate products by partial differential equations, finite differences and C++. It is intended for IT and quantitative finance professionals who know this material and wish to deepen their knowledge and for those readers who use...

The Variational Bayes Method in Signal Processing
The Variational Bayes Method in Signal Processing
This is the first book-length treatment of the Variational Bayes (VB) approximation in signal processing. It has been written as a self-contained, self-learning guide for academic and industrial research groups in signal processing, data analysis, machine learning, identification and control. It reviews the VB distributional approximation, showing...
Fundamentals of Digital Image Processing
Fundamentals of Digital Image Processing

Presents a thorough overview of the major topics of digital image processing, beginning with the basic mathematical tools needed for the subject. Includes a comprehensive chapter on stochastic models for digital image processing. Covers aspects of image representation including luminance, color, spatial and temporal properties of vision, and...

Performance Analysis of Communications Networks and Systems
Performance Analysis of Communications Networks and Systems
Performance analysis belongs to the domain of applied mathematics. The
major domain of application in this book concerns telecommunications systems
and networks. We will mainly use stochastic analysis and probability
theory to address problems in the performance evaluation of telecommunications
systems and networks. The first
...
Adaptive Digital Filters (Signal Processing and Communications)
Adaptive Digital Filters (Signal Processing and Communications)

This text emphasizes the intricate relationship between adaptive filtering and signal analysis - highlighting stochastic processes, signal representations and properties, analytical tools, and implementation methods. This second edition includes new chapters on adaptive techniques in communications and rotation-based algorithms. It provides...

Random Matrix Theory and Wireless Communications
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...
Production Systems Engineering: Cost and Performance Optimization
Production Systems Engineering: Cost and Performance Optimization

Optimize Economic and Technological Requirements in Production System Designs

This pioneering work offers proven techniques, partially created and developed at The Charles Stark Draper Laboratory, for determining optimal resource allocation and cost-effective production system designs for today’s any-volume...

Trustworthy Computing: Analytical and Quantitative Engineering Evaluation
Trustworthy Computing: Analytical and Quantitative Engineering Evaluation
"The book itself is a commendable achievement, and it deals with the security and software reliability theory in an integrated fashion with emphasis on practical applications to software engineering and information technology. It is an excellent and unique book and definitely a seminal contribution and first of its kind."

...

Solar and Stellar Dynamos: Saas-Fee Advanced Course 39  Swiss Society for Astrophysics and Astronomy
Solar and Stellar Dynamos: Saas-Fee Advanced Course 39 Swiss Society for Astrophysics and Astronomy

Astrophysical dynamos are at the heart of cosmic magnetic fields of a wide range of scales, from planets and stars to entire galaxies. This book presents a thorough, step-by-step introduction to solar and stellar dynamos. Looking first at the ultimate origin of cosmic seed magnetic fields, the antagonists of field amplification are next...

Linear Programming and Network Flows
Linear Programming and Network Flows

Linear Programming deals with the problem of minimizing or maximizing a linear function in the presence of linear inequalities. Since the development of the simplex method by George B. Dantzig in 1947, linear programming has been extensively used in the military, industrial, governmental, and urban planning fields, among others. The...

Applied Stochastic Differential Equations (Institute of Mathematical Statistics Textbooks)
Applied Stochastic Differential Equations (Institute of Mathematical Statistics Textbooks)
Stochastic differential equations are differential equations whose solutions are stochastic processes. They exhibit appealing mathematical properties that are useful in modeling uncertainties and noisy phenomena in many disciplines. This book is motivated by applications of stochastic differential equations in target tracking and medical...
Advances in Mathematical Modeling for Reliability
Advances in Mathematical Modeling for Reliability
Advances in Mathematical Modeling for Reliability discusses fundamental issues on mathematical modeling in reliability theory and its applications. Beginning with an extensive discussion of graphical modeling and Bayesian networks, the focus shifts towards repairable systems: a discussion about how sensitive availability calculations parameter...
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