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In financial and actuarial modeling and other areas of application, stochastic differential equations with jumps have been employed to describe the dy...Savoir plus
In wntmg this monograph my aim has been to present a "geometric" approach to the structural synthesis of multivariable control systems that are linear...Savoir plus
This book aims to collect in a single volume the essentials of stochastic networks. Stochastic networks have become widely used as a basic model of ma...Savoir plus
A classic reference, this book is being reprinted because many of its results have found applications in the popular area of mathematical finance.Savoir plus
This book presents the first part of a planned two-volume series devoted to a systematic exposition of some recent developments in the theory of discr...Savoir plus
In applications, and especially in mathematical finance, random time-dependent events are often modeled as stochastic processes. Assumptions are made ...Savoir plus
It has been 15 years since the first edition of Stochastic Integration and Differential Equations , A New Approach appeared, and in those years many o...Savoir plus
This book focuses on two-time-scale Markov chains in discrete time. Our motivation stems from existing and emerging applications in optimization and c...Savoir plus
The book deals mainly with three problems involving Gaussian stationary processes. The first problem consists of clarifying the conditions for mutual ...Savoir plus
Stochastic portfolio theory is a mathematical methodology for constructing stock portfolios and for analyzing the effects induced on the behavior of t...Savoir plus
There is great difficulty in solving the bulk of basic queueing problems without the use of the heavy traffic or some similar asymptotic approach. The...Savoir plus
In various scientific and industrial fields, stochastic simulations are taking on a new importance. This is due to the increasing power of computers a...Savoir plus
This book encompasses the study of hybrid switching di usion processes and their applications. The word \hybrid" signi es the coexistence of c- tinuou...Savoir plus
Stochastic networks describe the movements of units among nodes in a network. There are applications to telecommunication systems, warehousing, logist...Savoir plus
In various scientific and industrial fields, stochastic simulations are taking on a new importance. This is due to the increasing power of computers a...Savoir plus
This book is an introduction to queueing theory. It provides a thorough treatment of Markov processes, renewal theory, regenerative processes, and ran...Savoir plus
Continuous-time Markov decision processes (MDPs), also known as controlled Markov chains, are used for modeling decision-making problems that arise in...Savoir plus
This book is an introduction to optimal stochastic control for continuous time Markov processes and the theory of viscosity solutions. The authors app...Savoir plus
This book presents the first part of a planned two-volume series devoted to a systematic exposition of some recent developments in the theory of discr...Savoir plus
The book presents a thorough development of the modern theory of stochastic approximation or recursive stochastic algorithms for both constrained and ...Savoir plus
The theory of probability began in the seventeenth century with attempts to calculate the odds of winning in certain games of chance. However, it was ...Savoir plus
A classic reference, this book is being reprinted because many of its results have found applications in the popular area of mathematical finance.Savoir plus
This monograph unifies the two key approaches in solving optimal control problems. The book will be of interest to researchers and graduate students i...Savoir plus
Stochastic Partial Differential Equations analyzes mathematical models of time-dependent physical phenomena on microscopic, macroscopic and mesoscopic...Savoir plus