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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,...

Complex Valued Nonlinear Adaptive Filters: Noncircularity, Widely Linear and Neural Models
Complex Valued Nonlinear Adaptive Filters: Noncircularity, Widely Linear and Neural Models

This book was written in response to the growing demand for a text that provides a unified treatment of linear and nonlinear complex valued adaptive filters, and methods for the processing of general complex signals (circular and noncircular). It brings together adaptive filtering algorithms for feedforward (transversal) and feedback...

Simulation-Based Algorithms for Markov Decision Processes (Communications and Control Engineering)
Simulation-Based Algorithms for Markov Decision Processes (Communications and Control Engineering)
Markov decision process (MDP) models are widely used for modeling sequential decision-making problems that arise in engineering, economics, computer science, and the social sciences.  Many real-world problems modeled by MDPs have huge state and/or action spaces, giving an opening to the curse of dimensionality and so making practical...
Markov Chains: Models, Algorithms and Applications (International Series in Operations Research & Management Science)
Markov Chains: Models, Algorithms and Applications (International Series in Operations Research & Management Science)
Markov chains are a particularly powerful and widely used tool for analyzing a variety of stochastic (probabilistic) systems over time. This monograph will present a series of Markov models, starting from the basic models and then building up to higher-order models. Included in the higher-order discussions are multivariate models, higher-order...
Robust Industrial Control Systems: Optimal Design Approach for Polynomial Systems
Robust Industrial Control Systems: Optimal Design Approach for Polynomial Systems
Robust Industrial Control Systems: Optimal Design Approach for Polynomial Systems presents a comprehensive introduction to the use of frequency domain and polynomial system design techniques for a range of industrial control and signal processing applications.  The solution of stochastic and robust optimal control problems is...
Mathematical Programming: Theory and Methods
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 self-contained and that it is suitable both as a text and as a reference.

The book is divided in three parts.
...
Simulated Annealing and Boltzmann Machines: A Stochastic Approach to Combinatorial Optimization and Neural Computing
Simulated Annealing and Boltzmann Machines: A Stochastic Approach to Combinatorial Optimization and Neural Computing

Wiley-Interscience Series in Discrete Mathematics and Optimization Advisory Editors Ronald L. Graham Jan Karel Lenstra Robert E. Tarjan Discrete Mathematics and Optimization involves the study of finite structures. It is one of the fastest growing areas in mathematics today. The level and depth of recent advances in the area and the wide...

Project Management Simulation with PTB Project Team Builder
Project Management Simulation with PTB Project Team Builder

“The Project Team Builder (PTB) meets the need for an effective teaching and training tool of project management. The software introduces the user to the full dynamics of project planning, monitoring and control, moving scenario-wise from the easy, fundamental issues to the more involved, complex ones. Based on a sound conceptual...

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