Mathematics for Physical Chemistry (5th Ed.)
Auteurs : Mortimer Robert G., Blinder S.M.
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
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.
- 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
Date de parution : 03-2023
Ouvrage de 274 p.
19x23.4 cm
Thèmes de Mathematics for Physical Chemistry :
Mots-clés :
Algebraic equations; Antiderivative; Complex numbers; Convergence; Curve fitting; Data reduction; Differential; Fourier; Imaginary numbers; Integrating factor; Linear dependence; Mathematica; Matrix; Multiple integral; Probability theory; Problem solving; Propagation of errors; Simultaneous equations; Standard deviation; Statistics; Symbolic mathematics; Symmetry operator; Variables; Vectors; Wave function