Science and engineering students depend heavily on concepts of mathematical modeling. In an age where almost everything is done on a computer, author Clive Dym believes that students need to understand and "own" the underlying mathematics that computers are doing on their behalf. His goal for Principles of Mathematical Modeling, Second Edition , is to engage the student reader in developing a foundational understanding of the subject that will serve them well into their careers.
The first half of the book begins with a clearly defined set of modeling principles, and then introduces a set of foundational tools including dimensional analysis, scaling techniques, and approximation and validation techniques. The second half demonstrates the latest applications for these tools to a broad variety of subjects, including exponential growth and decay in fields ranging from biology to economics, traffic flow, free and forced vibration of mechanical and other systems, and optimization problems in biology, structures, and social decision making.
Prospective students should have already completed courses in elementary algebra, trigonometry, and first-year calculus and have some familiarity with differential equations and basic physics.
Serves as an introductory text on the development and application of mathematical models
Focuses on techniques of particular interest to engineers, scientists, and others who model continuous systems
Offers more than 360 problems, providing ample opportunities for practice
Covers a wide range of interdisciplinary topics--from engineering to economics to the sciences
Uses straightforward language and explanations that make modeling easy to understand and apply
New to this Edition: A more systematic approach to mathematical modeling, outlining ten specific principles Expanded and reorganized chapters that flow in an increasing level of complexity Several new problems and updated applications Expanded figure captions that provide more information * Improved accessibility and flexibility for teaching
Review
"It is one of the best introductory texts in mathematical modeling which the reviewer warmly recommends to anyone who wishes to learn the foundations of mathematical modeling with enjoyment." -Yuri V. Rogovchenko, in ZENTRALBLATT FUR MATHEMATIK, 2005
"Principles of Mathematical Modeling is a delightfully readable, well-written account of the way engineers look at the world. It covers a surprizingly wide range of topics...The many examples treated in the text are drawn from the practical world that engineers inhabit, with some surprises thrown in for good measure..." - Robert Borelli, Harvey Mudd College
"The book itself is marvelously interdisciplinary, treating biological and human designed systems in addition to physical systems. These examples show that engineers can do more than simply analyze simple physical systems with known, exact solutions." - Bill Wood, University of Maryland at Baltimore
From the Back Cover
"Principles of Mathematical Modeling is a delightfully readable, well-written account of the way engineers look at the world. It covers a surprizingly wide range of topics...The many examples treated in the text are drawn from the practical world that engineers inhabit., with some surprises thrown in for good measure..." -Robert Borelli, Harvey Mudd College
"The book itself is marvelously interdisciplinary, treating biological and human- designed systems in addition to physical systems. These examples show that engineers can do more than simply analyze simple physical systems with known, exact solutions." -Bill Wood, University of Maryland at Baltimore
Principles of Mathematical Modeling , Second Edition, begine with a clearly defined set of modeling principles, and then introduces a set of foundational tools (dimentional analysis, scaling techniques, and approximation and validation techniques).
It then applies these foundational tools to a broad variety of subjects in fields ranging from biology to economicsl including traffic flow, free and forced vibration of mechanical and other systems, and optimization problems in biology, structures, and social decision making. The author has expanded these chapters and reordered them to reflect a gradual-step approach with increased complexity.
Features: Covers a wide range of interdisciplinary topics Includes more than 360 problems ideal for formal courses or self study * Clear and lively exposition
Science and engineering students depend heavily on concepts of mathematical modeling. In an age where almost everything is done on a computer, author Clive Dym believes that students need to understand and "own" the underlying mathematics that computers are doing on their behalf. His goal for Principles of Mathematical Modeling, Second Edition , is to engage the student reader in developing a foundational understanding of the subject that will serve them well into their careers.
The first half of the book begins with a clearly defined set of modeling principles, and then introduces a set of foundational tools including dimensional analysis, scaling techniques, and approximation and validation techniques. The second half demonstrates the latest applications for these tools to a broad variety of subjects, including exponential growth and decay in fields ranging from biology to economics, traffic flow, free and forced vibration of mechanical and other systems, and optimization problems in biology, structures, and social decision making.
Prospective students should have already completed courses in elementary algebra, trigonometry, and first-year calculus and have some familiarity with differential equations and basic physics.
New to this Edition:
A more systematic approach to mathematical modeling, outlining ten specific principles
Expanded and reorganized chapters that flow in an increasing level of complexity
Several new problems and updated applications
Expanded figure captions that provide more information
* Improved accessibility and flexibility for teaching
Review
"It is one of the best introductory texts in mathematical modeling which the reviewer warmly recommends to anyone who wishes to learn the foundations of mathematical modeling with enjoyment."
-Yuri V. Rogovchenko, in ZENTRALBLATT FUR MATHEMATIK, 2005
"Principles of Mathematical Modeling is a delightfully readable, well-written account of the way engineers look at the world. It covers a surprizingly wide range of topics...The many examples treated in the text are drawn from the practical world that engineers inhabit, with some surprises thrown in for good measure..."
- Robert Borelli, Harvey Mudd College
"The book itself is marvelously interdisciplinary, treating biological and human designed systems in addition to physical systems. These examples show that engineers can do more than simply analyze simple physical systems with known, exact solutions."
- Bill Wood, University of Maryland at Baltimore
From the Back Cover
"Principles of Mathematical Modeling is a delightfully readable, well-written account of the way engineers look at the world. It covers a surprizingly wide range of topics...The many examples treated in the text are drawn from the practical world that engineers inhabit., with some surprises thrown in for good measure..."
-Robert Borelli, Harvey Mudd College
"The book itself is marvelously interdisciplinary, treating biological and human- designed systems in addition to physical systems. These examples show that engineers can do more than simply analyze simple physical systems with known, exact solutions."
-Bill Wood, University of Maryland at Baltimore
Principles of Mathematical Modeling , Second Edition, begine with a clearly defined set of modeling principles, and then introduces a set of foundational tools (dimentional analysis, scaling techniques, and approximation and validation techniques).
It then applies these foundational tools to a broad variety of subjects in fields ranging from biology to economicsl including traffic flow, free and forced vibration of mechanical and other systems, and optimization problems in biology, structures, and social decision making. The author has expanded these chapters and reordered them to reflect a gradual-step approach with increased complexity.
Features:
Covers a wide range of interdisciplinary topics
Includes more than 360 problems ideal for formal courses or self study
* Clear and lively exposition