Introduction to Qualitative Methods for Differential Equations provides an alternative approach to teaching and understanding differential equations.
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Ronald E. Mickens is an Emeritus Professor at Clark Atlanta University, Atlanta, GA, and is a Fellow of several professional organizations, including the American Physical Society. He has written or edited seventeen books and published more than 350 peer-reviewed research articles.
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Introduction to Qualitative Methods for Differential Equations provides an alternative approach to teaching and understanding differential equations. The basic methodology of the book is centred on finding reformulations of differential equations in such a manner that they become (partially, at least) problems in geometry. Through this approach, the book distils the critical aspects of the qualitative theory of differential equations and illustrates their application to a number of nontrivial problems.FeaturesSelf-contained with suggestions for further readingConcise and approachable exposition with only minimal pre-requisitesIdeal for self-studyAppropriate for undergraduate mathematicians, engineers, and other quantitative science students. 290 pp. Englisch. N° de réf. du vendeur 9781032715988
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Buch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Introduction to Qualitative Methods for Differential Equations provides an alternative approach to teaching and understanding differential equations. The basic methodology of the book is centred on finding reformulations of differential equations in such a manner that they become (partially, at least) problems in geometry. Through this approach, the book distils the critical aspects of the qualitative theory of differential equations and illustrates their application to a number of nontrivial problems.FeaturesSelf-contained with suggestions for further readingConcise and approachable exposition with only minimal pre-requisitesIdeal for self-studyAppropriate for undergraduate mathematicians, engineers, and other quantitative science students. N° de réf. du vendeur 9781032715988
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