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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...
Stochastic World (Mathematical Engineering)
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....

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....
Evolutionary Algorithms for Solving Multi-Objective Problems (Genetic and Evolutionary Computation)
Evolutionary Algorithms for Solving Multi-Objective Problems (Genetic and Evolutionary Computation)
Solving multi-objective problems is an evolving effort, and computer science and other related disciplines have given rise to many powerful deterministic and stochastic techniques for addressing these large-dimensional optimization problems. Evolutionary algorithms are one such generic stochastic approach that has proven to be successful and widely...
Introduction to Probability and Stochastic Processes with Applications
Introduction to Probability and Stochastic Processes with Applications

An easily accessible, real-world approach to probability and stochastic processes

Introduction to Probability and Stochastic Processes with Applications presents a clear, easy-to-understand treatment of probability and stochastic processes, providing readers with a solid foundation they can build upon throughout their...

Environment Learning for Indoor Mobile Robots: A Stochastic State Estimation Approach to Simultaneous Localization and Map Building
Environment Learning for Indoor Mobile Robots: A Stochastic State Estimation Approach to Simultaneous Localization and Map Building
This monograph covers theoretical aspects of simultaneous localization and map building for mobile robots, such as estimation stability, nonlinear models for the propagation of uncertainties, temporal landmark compatibility, as well as issues pertaining the coupling of control and SLAM. One of the most relevant topics covered in this monograph is...
Analytically Tractable Stochastic Stock Price Models (Springer Finance)
Analytically Tractable Stochastic Stock Price Models (Springer Finance)

Asymptotic analysis of stochastic stock price models is the central topic of the present volume. Special examples of such models are stochastic volatility models, that have been developed as an answer to certain imperfections in a celebrated Black-Scholes model of option pricing. In a stock price model with stochastic volatility, the random...

Numerical and Symbolic Scientific Computing: Progress and Prospects (Texts & Monographs in Symbolic Computation)
Numerical and Symbolic Scientific Computing: Progress and Prospects (Texts & Monographs in Symbolic Computation)

The book presents the state of the art and results and also includes articles pointing to future developments. Most of the articles center around the theme of linear partial differential equations. Major aspects are fast solvers in elastoplasticity, symbolic analysis for boundary problems, symbolic treatment of operators, computer algebra,...

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