William P Fox, William Bauldry

Advanced Problem Solving Using Maple (eBook, PDF)

Applied Mathematics, Operations Research, Business Analytics, and Decision Analysis

• Format: PDF

Produktbeschreibung

The advanced text covers dynamical systems, single variable and multi-variable optimization, linear algebra, advanced model fitting techniques, game theory, and multi-attribute decision processes.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 404
• Erscheinungstermin: 9. November 2020
• Englisch
• ISBN-13: 9780429891328
• Artikelnr.: 60356420

Autorenporträt

Dr. William P. Fox is a professor in the Department of Defense Analysis at the Naval Postgraduate School. He received his BS degree from the United States Military Academy at West Point, New York, his MS in operations research at the Naval Postgraduate School, and his Ph.D. at Clemson University. He has taught at the United States Military Academy and at Francis Marion University where he was the chair of mathematics for eight years. He has many publications and scholarly activities including sixteen books, one hundred and fifty journal articles, and about one hundred and fifty conference presentations, and workshops. He is president-emeritus of the NPS faculty council. He was Past- President of the Military Application Society of INFORMS and is the current Vice Chair for Programs for BIG SIGMAA.

Bill Bauldry, Prof of Mathematics at Appalachian State University, received his PhD in Approximation Theory from Ohio State in 1985. He joined the math dept at Appalachian State in 1986 where he served two terms as dept chair and received the Arts & Sciences Jimmy Smith Outstanding Service Award in 2007. Bill has authored texts on calculus, linear algebra, and his most recent, an Intro to Real Analysis including Lebesgue Measure. He has published many papers on pedagogy and technology, often using Maple, and has been the PI of several NSF-funded projects incorporating technology and modeling into math courses. He has been a judge in COMAP's Math Contest in Modeling (MCM) since 2002, and currently serves as the Assoc Director of the MCM.

Inhaltsangabe

Introduction to Problem Solving and Maple. Discrete Dynamical Systems.
Single Variable Unconstrained and Constrained Optimization. Multi- Variable
Unconstrained and Constrained Optimization. Linear Systems. Advanced Model
Fitting.