




Mathematical Programming: Theory and Methods
This book is a result of my teaching mathematical programming to graduate
students of the University of Delhi for over thirty years. In preparing this book,
a special care has been made to see that it is selfcontained and that it is suitable
both as a text and as a reference.
The book is divided in three parts....   Introduction to Probability and Stochastic Processes with Applications
An easily accessible, realworld approach to probability and stochastic processes
Introduction to Probability and Stochastic Processes with Applications presents a clear, easytounderstand treatment of probability and stochastic processes, providing readers with a solid foundation they can build upon throughout their...   Probability Theory: A Comprehensive Course (Universitext)
This second edition of the popular textbook contains a comprehensive course in modern probability theory. Overall, probabilistic concepts play an increasingly important role in mathematics, physics, biology, financial engineering and computer science. They help us in understanding magnetism, amorphous media, genetic diversity and the perils... 


Reliability Engineering: Theory and Practice
This book shows how to build in, evaluate, and demonstrate reliability and availability of components, equipment, systems. It presents the stateoftheart of reliability engineering, both in theory and practice, and is based on the author's more than 30 years experience in this field, half in industry and half as Professor of Reliability...   Stochastic Modeling and Analysis of Telecoms Networks
This book addresses the stochastic modeling of telecommunication networks, introducing the main mathematical tools for that purpose, such as Markov processes, real and spatial point processes and stochastic recursions, and presenting a wide list of results on stability, performances and comparison of systems.
The authors propose a...   Stochastic World (Mathematical Engineering)
This book is an introduction into stochastic processes for physicists, biologists and financial analysts. Using an informal approach, all the necessary mathematical tools and techniques are covered, including the stochastic differential equations, mean values, probability distribution functions, stochastic integration and numerical modeling.... 


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