Robert G. Mortimer, S. M. Blinder

Mathematics for Physical Chemistry (eBook, ePUB)

• Format: ePub

Produktbeschreibung

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.

• Includes updated coverage of key topics, including a review of general algebra and an introduction to group theory
• Features previews, objectives, and numerous examples and problems throughout the text to aid learning
• Provides chemistry-specific instruction without the distraction of abstract concepts or theoretical issues in pure mathematics
• Includes new chapters on complex variables and Mathematica for advanced applications

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Produktdetails

• Verlag: Elsevier Science & Techn.
• Seitenzahl: 274
• Erscheinungstermin: 20. Februar 2023
• Englisch
• ISBN-13: 9780443189463
• Artikelnr.: 67474376

Autorenporträt

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.

Inhaltsangabe

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