2/05/2012

Industrial Mathematics: Modeling in Industry, Science and Government Review

Industrial Mathematics: Modeling in Industry, Science and Government
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This is one of the best (if not the best) practical math books out there. It has a no-frills, "let's get down to business" feel and is not overly wordy. The author keeps each chapter short and focused, delivering digestible amounts of theory along with lots of fully worked examples. Unlike many technical authors,
MacCluer seems to fully appreciate that real learning occurs by induction. The problems at the end of the chapters are real gems: simply stated, sometimes challenging, and never pointless.
This book is evidently intended for senior math students bound for industry, but I also highly recommend it to grad students (like me) as well as practicing engineers.

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This book provides a concise, single-sourcesurvey of all the mathematics most useful in industry today--particularly modeling and the unit $. Each chapter begins with a briefreview of some relevant mathematics; then introduces the industrialextension of this same material via typical real-world applications.The power of interweaving analytic with computing methods duringproblem solving is demonstrated throughout and MATLAB code isintegrated into the flow of the narrative. A chapter on TechnicalWriting--covering formal technical reports, memos, progress reports,executive summaries, problem statements, overhead projectorpresentations--shows how to best present mathematical data in avariety of situations.Statistical Reasoning. MonteCarlo Methods. Data Acquisition and Manipulation. The Discrete FourierTransform. Linear Programming. Regression. Cost Benefit Analysis.Microeconomics.Ordinary Differential Equations. Frequency DomainMethods. Partial Differential Equations. Divided Differences.Galerkin's Method.Splines.A handbook or reference forEngineers, Project Managers, Mathematical Consultants, Statisticiansfor a quick study of mathematical issues that may arise in theworkplace.

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