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Applied Probability Models with Optimization Applications

some of the stochastic processes that frequently arise in applied probability. Emphasis is on optimization models and methods, particularly;

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Probability and Statistical Models with Applications

of statistical discoveries and its numerous figures and tables, Probability and Statistical Models with Applications is a must read for probabilists and;

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Mathematical Foundations for Design

optimization; chapter 5 develops topics in nonlinear optimization; chapter 6 comprises examples of dynamic programming; and chapter 7 deals with;

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Advanced Stochastic Models, Risk Assessment, and Portfolio Optimization

with risk or performance measures into one framework. Throughout these pages, the expert authors explain the fundamentals of probability;

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Dynamic Economics

a reader with a limited background in econometrics, they explain most of the methods used in applied dynamic research today, from the;

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Stochastic Modeling and Optimization

This books covers the broad range of research in stochastic models and optimization. Applications presented include networks, financial;

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Introduction to Probability

With a focus on models and tangible applications of probability from engineering, business, and other related disciplines, this book;

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Foundations of Applied Mathematics, Volume 2

in concert with the free supplemental lab materials, Foundations of Applied Mathematics, Volume 2: Algorithms, Approximation, Optimization teaches;

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Advances on Methodological and Applied Aspects of Probability and Statistics

researchers on the topic, present several different subspecialties, including applied probability, models and applications, estimation and testing;

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Advances on Methodological and Applied Aspects of Probability and Statistics

researchers on the topic, present several different subspecialties, including applied probability, models and applications, estimation and testing;

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Stochastic Processes

A 'stochastic' process is a 'random' or 'conjectural' process, and this book is concerned with applied probability and statistics. Whilst;

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Applied Probability

Applied Probability presents a unique blend of theory and applications, with special emphasis on mathematical modeling, computational;

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Options Pricing and Portfolio Optimization

other scientists with these skills. The mathematics involved in modern finance springs from the heart of probability and analysis: the Ito;

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From Shortest Paths to Reinforcement Learning

experimentation and hands-on experience. The book assumes basic familiarity with probability and optimization, and is suitable to both practitioners and;

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From Shortest Paths to Reinforcement Learning

experimentation and hands-on experience. The book assumes basic familiarity with probability and optimization, and is suitable to both practitioners and;

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A First Course in Stochastic Models

The field of applied probability has changed profoundly in the past twenty years. The development of computational methods has greatly;

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Mathematical Optimization and Modeling

Optimization theory and techniques are a primary area of study under applied mathematics. This book on mathematical optimization and;

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Probability Models for Economic Decisions

an economic decision. Students in applied business and economics can more easily grasp difficult analytical methods with Excel spreadsheets;

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Difference and Differential Equations with Applications in Queueing Theory

, shops, offices, and hospitals. Along with the needed prerequisite fundamentals in probability, statistics, and Laplace transform, Difference;

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Applied Optimization Methods for Wireless Networks

networking area whose work interfaces with optimization. It teaches you how various optimization methods can be applied to solve complex problems;

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Probabilistic Design for Optimization and Robustness for Engineers

Probabilistic Design for Optimization and Robustness: * Presents the theory of modeling with variation using physical models and methods;

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Elementary Probability with Applications

Elementary Probability with Applications, Second Edition shows students how probability has practical uses in many different fields, such;

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Elementary Probability with Applications

Elementary Probability with Applications, Second Edition shows students how probability has practical uses in many different fields, such;

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Stochastic Analysis, Stochastic Systems, And Applications To Finance

This book introduces some advanced topics in probability theories - both pure and applied - is divided into two parts. The first part deals;

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Stochastic Approximation

argues that, under reasonable hypotheses, it tracks the asymptotic behaviour of the differential equation with probability one. The differential;

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Applied Probability

Probability (including stochastic processes) is now being applied to virtually every academic discipline, especially to the sciences. An;

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Nonlinear Combinatorial Optimization

Graduate students and researchers in applied mathematics, optimization, engineering, computer science, and management science will find;

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