Item type | Current location | Call number | Status | Date due | Barcode |
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Books | 519.23 XIN (Browse shelf) | Available | 034614 |

519.23 THA Networks of learning automata : techniques for online stochastic optimization | 519.23 TIJ First course in stochastic models | 519.23 VAR Stochastic processes | 519.23 XIN An introduction to fronts in random media | 519.23 ZEN Randomness through computation : some answers, more questions | 519.233 ALT Constrained Markov decision processes | 519.233 BRE Markov chains : Gibbs fields, Monte carlo simulation and queues |

Includes bibliographical references and index.

This book gives a user friendly tutorial to Fronts in Random Media, an interdisciplinary research topic, to senior undergraduates and graduate students in the mathematical sciences, physical sciences and engineering. Fronts or interface motion occur in a wide range of scientific areas where the physical and chemical laws are expressed in terms of differential equations. Heterogeneities are always present in natural environments: fluid convection in combustion, porous structures, noise effects in material manufacturing to name a few. Stochastic models hence become natural due to the often lack of complete data in applications. The transition from seeking deterministic solutions to stochastic solutions is both a conceptual change of thinking and a technical change of tools. The book explains ideas and results systematically in a motivating manner. It covers multi-scale and random fronts in three fundamental equations (Burgers, Hamilton-Jacobi, and reaction-diffusion-advection equations) and explores their connections and mechanical analogies. It discusses representation formulas, Laplace methods, homogenization, ergodic theory, central limit theorems, large-deviation principles, variational and maximum principles. It shows how to combine these tools to solve concrete problems. Students and researchers will find the step by step approach and the open problems in the book particularly useful.

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