Advanced Engineering Mathematics (Kreyszig) 9th Edition

Book Description
Introduces engineers, computer scientists, and physicists to advanced math topics as they relate to practical problems. The material is arranged into seven independent parts: ODE; Linear Algebra, Vector calculus; Fourier Analysis and Partial Differential Equations; Complex Analysis; Numerical methods; Optimization, graphs; Probability and Statistics. --Ce texte fait référence à une édition épuisée ou non disponible de ce titre.

JA Majors Book Info
Presents to students of engineering, physics, mathematics, & computer science those areas of mathematics which, from a modern point of view, are most important in connection with practical problems. --Ce texte fait référence à une édition épuisée ou non disponible de ce titre.

PART A: ORDINARY DIFFERENTIAL EQUATIONS (ODE'S).
Chapter 1. First-Order ODE's.
Chapter 2. Second Order Linear ODE's.
Chapter 3. Higher Order Linear ODE's.
Chapter 4. Systems of ODE's Phase Plane, Qualitative Methods.
Chapter 5. Series Solutions of ODE's Special Functions.
Chapter 6. Laplace Transforms.

PART B: LINEAR ALGEBRA, VECTOR CALCULUS.
Chapter 7. Linear Algebra: Matrices, Vectors, Determinants: Linear Systems.
Chapter 8. Linear Algebra: Matrix Eigenvalue Problems.
Chapter 9. Vector Differential Calculus: Grad, Div, Curl.
Chapter 10. Vector Integral Calculus: Integral Theorems.

PART C: FOURIER ANALYSIS, PARTIAL DIFFERENTIAL EQUATIONS.
Chapter 11. Fourier Series, Integrals, and Transforms.
Chapter 12. Partial Differential Equations (PDE's).
Chapter 13. Complex Numbers and Functions.
Chapter 14. Complex Integration.
Chapter 15. Power Series, Taylor Series.
Chapter 16. Laurent Series: Residue Integration.
Chapter 17. Conformal Mapping.
Chapter 18. Complex Analysis and Potential Theory.

PART E: NUMERICAL ANALYSIS SOFTWARE.
Chapter 19. Numerics in General.
Chapter 20. Numerical Linear Algebra.
Chapter 21. Numerics for ODE's and PDE's.

PART F: OPTIMIZATION, GRAPHS.
Chapter 22. Unconstrained Optimization: Linear Programming.
Chapter 23. Graphs, Combinatorial Optimization.

PART G: PROBABILITY; STATISTICS.
Chapter 24. Data Analysis: Probability Theory.
Chapter 25. Mathematical Statistics.
Appendix 1: References.
Appendix 2: Answers to Odd-Numbered Problems.
Appendix 3: Auxiliary Material.
Appendix 4: Additional Proofs.
Appendix 5: Tables.
Index.

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