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Science and engineering students depend heavily on concepts of mathematicalmodeling. In an age where almost everything is done on a computer author CliveDym believes that students need to understand and own the underlyingmathematics that computers are doing on their behalf. His goal for Principlesof Mathematical Modeling Second Edition is to engage the student reader indeveloping a foundational understanding of the subject that will serve themwell into their careers.The first half of the book begins with a clearly defined set of modelingprinciples and then introduces a set of foundational tools includingdimensional analysis scaling techniques and approximation and validationtechniques. The second half demonstrates the latest applications for thesetools to a broad variety of subjects including exponential growth and decay infields ranging from biology to economics traffic flow free and forcedvibration of mechanical and other systems and optimization problems inbiology structures and social decision making.Prospective students should have already completed courses in elementaryalgebra trigonometry and firstyear calculus and have some familiarity withdifferential equations and basic physics. Serves as an introductory text on the development and application ofmathematical models Focuses on techniques of particular interest to engineers scientists andothers who model continuous systems Offers more than 360 problems providing ample opportunities for practice Covers a wide range of interdisciplinary topicsfrom engineering toeconomics to the sciences Uses straightforward language and explanations that make modelingeasy tounderstand and applyNew to this Edition A more systematic approach to mathematical modeling outlining ten specificprinciples Expanded and reorganized chapters that flow in an increasing level ofcomplexity Several new problems and updated appli «
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