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Stochastic Optimization

Stochastic programming is the study of procedures for decision making under the presence of uncertainties and risks. Stochastic;

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Applications of Stochastic Programming

Research on algorithms and applications of stochastic programming, the study of procedures for decision making under uncertainty over time;

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Lectures on Stochastic Programming

Optimization problems involving stochastic models occur in almost all areas of science and engineering, such as telecommunications;

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Introduction to Stochastic Programming

. This textbook provides a first course in stochastic programming suitable for students with a basic knowledge of linear programming, elementary;

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Introduction to Stochastic Programming

. This textbook provides a first course in stochastic programming suitable for students with a basic knowledge of linear programming, elementary;

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Stochastic Modeling

Stochastic Modeling: A Thorough Guide to Evaluate, Pre-Process, Model and Compare Time Series with MATLAB Software allows for new;

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Stochastic Volatility Modeling

Packed with insights, Lorenzo Bergomi's Stochastic Volatility Modeling explains how stochastic volatility is used to address issues arising;

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Stochastic Modeling in Physical and Biological Sciences

of Markov Chains. This book elaborates continuous time stochastic processes for modeling purpose explaining in detail with examples and includes an;

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Economic Dynamics

A rigorous and example-driven introduction to topics in economic dynamics, with an emphasis on mathematical and computational techniques;

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Modeling and Management of Stochastic Systems

Stochastic control deals with the uncertainties in data observation playing a crucial role in data evolution. Stochastic control plays a;

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Modeling Uncertainty

, regression analysis, simulation, stochastic programming, Markov decision process, application in the HIV context, and others. There are papers with a;

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Stochastic Modeling & Optimization Methods

This book has discussed some stochastic models on cancer cell growth with Bi-variate stochastic processes. The pathophysiology of cancer;

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Introduction to Stochastic Dynamic Programming

Introduction to Stochastic Dynamic Programming is een boek van Sheldon M. Ross;

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Applications of Fourier Transform to Smile Modeling

models, es- cially in connection with stochastic volatility and random jump, have extensively applied Fourier transform and the corresponding;

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Stochastic Programming

Brings together leading in the most important sub-fields of stochastic programming to present a rigourous overview of basic models;

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Stochastic Programming

This book provides an essential introduction to Stochastic Programming, especially intended for graduate students. The book begins by;

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Dynamic Modeling in Behavioral Ecology

stochastic dynamic programming and permits the analysis of behavioral adaptations wherein organisms respond to changes in their environment and;

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Stochastic Programming

This book is concerned with fostering theoretical issues on stochastic programming and discussing how it can solve real life problems. The;

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An Introduction To Stochastic Modeling

Serving as the foundation for a one-semester course in stochastic processes for students familiar with elementary probability theory and;

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Stochastic Linear Programming Algorithms

problems, this is the first book to present comparative computational results with several major stochastic programming solution approaches;

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Adaptive Stochastic Optimization Techniques with Applications

Adaptive Stochastic Optimization Techniques with Applications provides a single, convenient source for state-of-the-art information on;

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Stochastic Modeling and Analysis of Telecom Networks

This book addresses the stochastic modeling of telecommunication networks, introducing the main mathematical tools for that purpose, such;

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Retirement Benefits and Teacher Retention

The authors develop and estimate a stochastic dynamic programming model to analyze the relationship between compensation, including;

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Modeling With Stochastic Programming

While there are several texts on how to solve and analyze stochastic programs, this is the first text to address basic questions about how;

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Some Stochastic Models For Cancer Cell Growth

and genetic properties of cancer. The study is stressed more on stochastic modeling of cancer growth as modeling with deterministic;

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Planning and Integration of Refinery and Petrochemical Operations

Clearly divided into three main sections, this practical book familiarizes readers with the area of planning in petroleum refining and;

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Stochastic Modeling of Microstructures

This book is for a general scientific and engineering audience as a guide to current ideas, methods, and models for stochastic modeling;

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