Stochastic Process Optimization using Aspen® PlusBookshop Category: Chemical EngineeringOptimization can be simply defined as "choosing the best alternative among a set of feasible options". In all th
This book deals with stochastic combinatorial optimization problems in supply chain disruption management, with a particular focus on management of disrupted flows in customer-driven supply chains. Th
Are You Interested In Learning Python? Would You Like To Know The Secrets To Programing? Want To Master The Basics Of Python Programming? Yes, this is the perfect book for you to get started with thi
This book offers a systematic introduction to the optimal stochastic control theory via the dynamic programming principle, which is a powerful tool to analyze control problems.First we consider comple
The H8 control has been one of the important robust control approaches since the 1980s. This book extends the area to nonlinear stochastic H2/H8 control, and studies more complex and practically usefu
This text balances accessibility and rigor in teaching stochastic calculus to advanced undergraduate and graduate students in mathematics, economics, and finance. Avoiding the measure-theoretic formal
Accessible to any scientist or student with a reasonable background in statistics, this updated book presents a unique blend of stochastic process theory, statistical inference, and scientific applica
At the dawn of the 21st century, computational stochastic dynamics is an emerging research frontier. This book focuses on advanced computational methods and software tools which can highly assist in t
This book explains a procedure for constructing realistic stochastic differential equation models for randomly varying systems in biology, chemistry, physics, engineering, and finance. Introductory ch
Appropriate for upper-level undergraduates and graduate students, this volume addresses the fundamental concepts of martingales, stochastic integrals, and estimation. Written by an engineer for engine
This volume contains twenty refereed papers presented at the 4th Seminar on Stochastic Processes, Random Fields and Applications, which took place in Ascona, Switzerland, from May 2002. The seminar fo
"Maintaining their user-friendly approach, Roy Yates and David Goodman demystify probability. The authors help you develop an intuitive grasp of the principles of probability and stochastic processes,
This volume is based on lectures given at the NATO Advanced Study Institute on "Stochastic Games and Applications," which took place at Stony Brook, NY, USA, July 1999. It gives the editors great plea
Stochastic calculus has important applications to mathematical finance. This book will appeal to practitioners and students who want an elementary introduction to these areas.From the reviews: "As the
The aim of this book is to give a systematic and self-contained presentation of basic results on stochastic evolution equations in infinite dimensional, typically Hilbert and Banach, spaces. Appendice
Highly technical monograph in which the authors, writing on the basis of their own recent research for the benefit of expert readers, describe a general theory of stochastic integration appropriate to
In recent years, the classical theory of stochastic integration and stochastic differential equations has been extended to a non-commutative set-up to develop models for quantum noises. The author, a
The proceedings volume consists of academic papers on decision-making under uncertainty, smart decision, stochastic optimization, management simulation and its applications. It presents some compellin
The fields of science and engineering are composed of complex systems and phenomena due to a series of inherent system attributes like strong nonlinearity, time-varying system parameters, stochastic b
Branching processes are stochastic processes which represent the reproduction of particles, such as individuals within a population, and thereby model demographic stochasticity. In branching processes
This book provides a straightforward overview for every researcher interested in stochastic dynamic vehicle routing problems (SDVRPs). The book is written for both the applied researcher looking for s
This sequel to Brownian Motion and Stochastic Calculus by the same authors develops contingent claim pricing and optimal consumption/investment in both complete and incomplete markets, within the cont
This book describes the essentials of a mathematical description of the dynamics of biochemical networks. It covers both deterministic and stochastic aspects of the dynamics. After providing a brief
This comprehensive, handbook style survey of diffusion in condensed matter gives detailed insight in diffusion as the process of particle transport due to stochastic movement which is understood and p
Kiyosi Ito (1915 - 2008) was one of the pioneers of probability theory, and the originator of Ito Calculus. First published in 1942 in Japanese, this epoch-making theory of stochastic differential equ
This book covers recent advances in efficiency evaluations, most notably Data Envelopment Analysis (DEA) and Stochastic Frontier Analysis (SFA) methods. It introduces the underlying theories, shows h
Since the appearance of seminal works by R. Merton, and F. Black and M. Scholes, stochastic processes have assumed an increasingly important role in the development of the mathematical theory of finan
This 2006 text features results from the Cassini space mission to Saturn, and highlighted topics include Saturn's F ring, Neptune's rings, Jupiter's rings, stochastic models, ring age and evolution. F
Stochastic fluctuations are important in biological systems at all scales; yet much of traditional biological modeling is firmly rooted in deterministic descriptions. Such deterministic models are re
Modern business cycle theory and growth theory uses stochastic dynamic general equilibrium models. In order to solve these models, economists need to use many mathematical tools. This book presents va
stochaLstic Calculus of Variations(or Malliavin Calculus)consists，in brief，in constructing and exploiting natural differentiable structures on abstract Drobability spaces；in other words，Stochastic Cal
This Handbook is a collection of chapters on key issues in the design and analysis of computer simulation experiments on models of stochastic systems. The chapters are tightly focused and written by e
A unique overview that melds the concepts of conditional probability and stochastic processes into real-life applications The role of randomization techniques in clinical trials has become increas
Coverage includes five chapters entitled Criticality of Ionic Fluids; Mode Coupling Theory Approach to Liquid State Dynamics; Anomalous Stochastic Processes in the Fractional Dynamics Framework: Fokke
This book covers the most important issues in the theory of functional differential equations and their applications for both deterministic and stochastic cases. Among the subjects treated are qual
This reprint volume is an excellent introduction to mathematical probability theory, suitable for graduate-level use in probability courses or as a supplement for courses in stochastic processes or ma
Using only the very elementary framework of finite probability spaces, this book treats a number of topics in the modern theory of stochastic processes. This is made possible by using a small amount o
The relevance of information theory to statistical theory and its applications to stochastic processes is a unifying influence in these TOPICS. The integral representation of discrimination informatio
Population processes are stochastic models for systems involving a number of similar particles. The model may involve a finite number of attributes, or even a continuum. This monograph considers the
This third edition of the successful Elements of Applied Stochastic Processes improves on the last edition by condensing the material and organizing it into a more teachable format. With more in-dep
