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Fourier Transform Methods in Finance
Fourier Transform Methods in Finance

In recent years, Fourier transform methods have emerged as one of the major methodologies for the evaluation of derivative contracts, largely due to the need to strike a balance between the extension of existing pricing models beyond the traditional Black-Scholes setting and a need to evaluate prices consistently with the market...

A First Course in Stochastic Models
A First Course in Stochastic Models
The teaching of appliedprobability needs a fresh approach. The fieldof applied probability has changedprofound ly in the past twenty years andyet the textbooks in use today do not fully reflect the changes. The development of computational methods has greatly contributed to a better understanding of the theory. It is my conviction that theory is...
Continuous-Time Markov Chains and Applications: A Two-Time-Scale Approach (Stochastic Modelling and Applied Probability)
Continuous-Time Markov Chains and Applications: A Two-Time-Scale Approach (Stochastic Modelling and Applied Probability)

This book gives a systematic treatment of singularly perturbed systems that naturally arise in control and optimization, queueing networks, manufacturing systems, and financial engineering. It presents results on asymptotic expansions of solutions of Komogorov forward and backward equations, properties of functional occupation measures,...

A Probability Path (Modern Birkhäuser Classics)
A Probability Path (Modern Birkhäuser Classics)

Many probability books are written by mathematicians and have the built-in bias that the reader is assumed to be a mathematician coming to the material for its beauty. This textbook is geared towards beginning graduate students from a variety of disciplines whose primary focus is not necessarily mathematics for its own sake. Instead,...

Reliability Engineering: Theory and Practice
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 state-of-the-art 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
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
...

Learning Spaces: Interdisciplinary Applied Mathematics
Learning Spaces: Interdisciplinary Applied Mathematics

Learning spaces offer a rigorous mathematical foundation for practical systems of educational technology. Learning spaces generalize partially ordered sets and are special cases of knowledge spaces. The various structures are investigated from the standpoints of combinatorial properties and stochastic processes.

Leaning spaces have...

Methods of Contemporary Mathematical Statistical Physics (Lecture Notes in Mathematics)
Methods of Contemporary Mathematical Statistical Physics (Lecture Notes in Mathematics)
This volume presents a collection of courses introducing the reader to the recent progress with attention being paid to laying solid grounds and developing various basic tools. An introductory chapter on lattice spin models is useful as a background for other lectures of the collection. The topics include new results on phase transitions for...
Dependability of Networked Computer-based Systems (Springer Series in Reliability Engineering)
Dependability of Networked Computer-based Systems (Springer Series in Reliability Engineering)

This book is meant for research scholars, scientists and practitioners involved with the application of computer-based systems in critical applications. Ensuring dependability of systems used in critical applications is important due to the impact of their failures on human life, investment and environment. The individual aspects of...

Nonlinear Distortion in Wireless Systems: Modeling and Simulation with MATLAB
Nonlinear Distortion in Wireless Systems: Modeling and Simulation with MATLAB
This book covers the principles of modeling and simulation of nonlinear distortion in wireless communication systems with MATLAB simulations and techniques

In this book, the author describes the principles of modeling and simulation of nonlinear distortion in single and multichannel wireless communication systems using both...

Queueing Networks and Markov Chains: Modeling and Performance Evaluation with Computer Science Applications
Queueing Networks and Markov Chains: Modeling and Performance Evaluation with Computer Science Applications
Critically acclaimed text for computer performance analysis—now in its second edition

The Second Edition of this now-classic text provides a current and thorough treatment of queueing systems, queueing networks, continuous and discrete-time Markov chains, and simulation. Thoroughly updated with...

Data Science Fundamentals for Python and MongoDB
Data Science Fundamentals for Python and MongoDB
Build the foundational data science skills necessary to work with and better understand complex data science algorithms. This example-driven book provides complete Python coding examples to complement and clarify data science concepts, and enrich the learning experience. Coding examples include visualizations whenever appropriate....
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