1. Mathematical Modeling 4th Edition Pdf Free
2. Mathematical Modeling 4th Edition Pdf
3. Mathematical Modeling Tutorial Pdf
4. Mathematical Modeling Pdf

Offering a solid introduction to the entire modeling process, A FIRST COURSE IN MATHEMATICAL MODELING, 4th Edition delivers an excellent balance of theory and practice, giving students hands-on experience developing and sharpening their skills in the modeling process. Offering a solid introduction to the entire modeling process, A FIRST COURSE IN MATHEMATICAL MODELING, 5TH EDITION balances theory and practice with hands-on experience in the modeling process. Students practice key facets of modeling, including creative and empirical model construction, model analysis, and model research. The new edition of Mathematical Modeling, the survey text of choice for mathematical modeling courses, adds ample instructor support and online delivery for solutions manuals and software ancillaries. From genetic engineering to hurricane prediction, mathematical models guide much of the decision making in our society.

Description

The new edition of Mathematical Modeling, the survey text of choice for mathematical modeling courses, adds ample instructor support and online delivery for solutions manuals and software ancillaries.

From genetic engineering to hurricane prediction, mathematical models guide much of the decision making in our society. If the assumptions and methods underlying the modeling are flawed, the outcome can be disastrously poor. With mathematical modeling growing rapidly in so many scientific and technical disciplines, Mathematical Modeling, Fourth Edition provides a rigorous treatment of the subject. The book explores a range of approaches including optimization models, dynamic models and probability models.

• Offers increased support for instructors, including MATLAB material as well as other on-line resources
• Features new sections on time series analysis and diffusion models
• Provides additional problems with international focus such as whale and dolphin populations, plus updated optimization problems

Readership

Advanced undergraduate or beginning graduate students in mathematics and closely related fields. Formal prerequisites consist of the usual freshman-sophomore sequence in mathematics, including one-variable calculus, multivariable calculus, linear algebra, and differential equations. Prior exposure to computing and probability and statistics is useful, but is not required.

Preface

Part I: Optimization Models

Chapter 1. One Variable Optimization

1.1 The five-step Method

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1.2 Sensitivity Analysis

1.3 Sensitivity and Robustness

1.4 Exercises

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Further Reading

Chapter 2. Multivariable Optimization

2.1 Unconstrained Optimization

2.2 Lagrange Multipliers

2.3 Sensitivity Analysis and Shadow Prices

2.4 Exercises

Further Reading

Chapter 3. Computational Methods for Optimization

3.1 One Variable Optimization

3.2 Multivariable Optimization

3.3 Linear Programming

3.4 Discrete Optimization

3.5 Exercises

Further Reading

Part II: Dynamic Models

Chapter 4. Introduction to Dynamic Models

4.1 Steady State Analysis

4.2 Dynamical Systems

4.3 Discrete Time Dynamical Systems

4.4 Exercises

Further Reading

Chapter 5. Analysis of Dynamic Models

5.1 Eigenvalue Methods

5.2 Eigenvalue Methods for Discrete Systems

5.3 Phase Portraits

5.4 Exercises

Further Reading

Chapter 6. Simulation of Dynamic Models

6.1 Introduction to Simulation

6.2 Continuous-Time Models

6.3 The Euler Method

6.4 Chaos and Fractals

6.5 Exercises

Mathematical Modeling 4th Edition Pdf Free

Further Reading

Part III: Probability Models

Chapter 7. Introduction to Probability Models

7.1 Discrete Probability Models

7.2 Continuous Probability Models

7.3 Introduction to Statistics

7.4 Diffusion

7.5 Exercises

Further Reading

Chapter 8. Stochastic Models

8.1 Markov Chains

8.2 Markov Processes

8.3 Linear Regression

8.4 Time Series

8.5 Exercises

Further Reading

Chapter 9. Simulation of Probability Models

9.1 Monte Carlo Simulation

9.2 The Markov Property

9.3 Analytic Simulation

9.4 Particle Tracking

9.5 Fractional Diffusion

9.6 Exercises

Further Reading

Afterword

Further Reading

Index

Details

'This book distinguishes itself from comparable texts by its broad treatment of the field. It offers an extensive survey of mathematical modeling problems and techniques that is organized into three big sections corresponding to optimization, dynamics and probability models.'--MAA Reviews, March 19, 2014

Ratings and Reviews

The new edition of

Mathematical Modeling 4th Edition Pdf

Mathematical Modeling, the survey text of choice for mathematical modeling courses, adds ample instructor support and online delivery for solutions manuals and software ancillaries.

From genetic engineering to hurricane prediction, mathematical models guide much of the decision making in our society. If the assumptions and methods underlying the modeling are flawed, the outcome can be disastrously poor. With mathematical modeling growing rapidly in so many scientific and technical disciplines, Mathematical Modeling, Fourth Edition provides a rigorous treatment of the subject. The book explores a range of approaches including optimization models, dynamic models and probability models.

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Mathematical Modeling Tutorial Pdf

Mathematical Modeling Pdf

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