Mathematics for Physical Chemistry
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ISBN/EAN:
9780123978455
Mathematics for Physical Chemistry is the ideal supplementary text for practicing chemists and students who want to sharpen their mathematics skills while enrolled in general through physical chemistry courses. This book specifically emphasizes the use of mathematics in the context of physical chemistry, as opposed to being simply a mathematics text. This 4e includes new exercises in each chapter that provide practice in a technique immediately after discussion or example and encourage self-study. The early chapters are constructed around a sequence of mathematical topics, with a gradual progression into more advanced material. A final chapter discusses mathematical topics needed in the analysis of experimental data. - Numerous examples and problems interspersed throughout the presentations - Each extensive chapter contains a preview and objectives - Includes topics not found in similar books, such as a review of general algebra and an introduction to group theory - Provides chemistry-specific instruction without the distraction of abstract concepts or theoretical issues in pure mathematics
Robert G. Mortimer is a Professor Emeritus of Chemistry at Rhodes College in Memphis, Tennessee. He has taught physical chemistry at Indiana University and Rhodes College for over 40 years. He has carried out both experimental and theoretical research in the area of nonequilibrium processes in fluid systems.
Robert G. Mortimer is a Professor Emeritus of Chemistry at Rhodes College in Memphis, Tennessee. He has taught physical chemistry at Indiana University and Rhodes College for over 40 years. He has carried out both experimental and theoretical research in the area of nonequilibrium processes in fluid systems.
Autor: | Robert G. Mortimer |
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EAN: | 9780123978455 |
eBook Format: | ePUB/PDF |
Sprache: | Englisch |
Produktart: | eBook |
Veröffentlichungsdatum: | 07.06.2013 |
Kategorie: | |
Schlagworte: | Algebra Algebraic equations Antiderivative Complex numbers Constant series Constrained maxima and minima Continuous Convergence Cramers rule Curvature of a function Curve fitting Data reduction Definite integral Dependent variables Deri |
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