Mathematics for Physical Chemistry, Fifth Edition includes exercises that enable readers to test their understanding and put theory into practice. Chapters are constructed around a sequence of mathematical topics, progressing gradually into more advanced material, before discussing key mathematical skills, including the analysis of experimental data and-new to this edition-complex variables. Includes additional new content on Mathematica and its advanced applications. Drawing on the experience of its expert authors, this book is the ideal supplementary text for practicing chemists and students wanting to sharpen their mathematics skills and understanding of key mathematical concepts for applications across physical chemistry.
Auflage
Sprache
Verlagsort
Zielgruppe
Für höhere Schule und Studium
Maße
Höhe: 271 mm
Breite: 211 mm
Dicke: 16 mm
Gewicht
ISBN-13
978-0-443-18945-6 (9780443189456)
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Schweitzer Klassifikation
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. S.M. Blinder is a Professor Emeritus of Chemistry and Physics at the University of Michigan, Ann Arbor, and a telecommuting senior scientist with Wolfram Research in Champaign, Illinois. His research interests within the fields of theoretical chemistry and mathematical physics have included applications of quantum mechanics to atomic and molecular structure, theory and applications of Coulomb Propagators, structure and self-energy of the electron, supersymmetric quantum mechanics, and quantum computers. He is the author of four books and over 200 journal articles in theoretical chemistry and mathematical physics.
Autor*in
Professor Emeritus of Chemistry, Rhodes College, Memphis, TN, USA
Professor Emeritus, Chemistry and Physics, University of Michigan, Ann Arbor, MI, USA
1. Problem Solving and Numerical Mathematics
2. Mathematical Functions
3. Problem Solving and Symbolic Mathematics: Algebra
4. Vectors and Vector Algebra
5. Problem Solving and the Solution of Algebraic Equations
6. Differential Calculus
7. Integral Calculus
8. Differential Calculus with Several Independent Variables
9. Integral Calculus with Several Independent Variables
10. Mathematical Series
11. Functional Series and Integral Transforms
12. Differential Equations
13. Operators, Matrices, and Group Theory
14. The Solution of Simultaneous Algebraic Equations with More than Two Unknowns
15. Complex Variables
16. Probability, Statistics, and Experimental Error
17. Data Reduction and the Propagation of Errors
18. Mathematica: Advanced Applications
