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Advanced engineering mathematics / Erwin Kreyszig.

By: Material type: TextTextPublication details: New York : Wiley, c1999.Edition: 8th edDescription: 1 v. (various pagings) : col. ill. ; 27 cmSubject(s): DDC classification:
  • 510/.2462 21 K9254
Contents:
1. Ordinary differential equations. 2. First-order differential equations. 3. Linear differential equations of second and higher order. 4. Systems of differential equations, phase plane, qualitative methods. 5. Series solutions of differential equations. Special functions. 6. Laplace transforms. 7. Linear algebra, vector calculus. 8. Linear algebra: matrices, vectors, determinants. Linear systems of equations. 9. Linear algebra: matrix eigenvalue problems. 10. Vector differential calculus. Grad, div, curl. 11. Vector integral calculus. Integral theorems. 12. Fourier analysis and partial differential equations. 13. Fourier series, integrals, and transforms. 14. Partial differential equations. 15. Complex analysis. 16. Complex numbers and functions. Conformal mapping. 17. Complex integration. 18. Power series, taylor series. 19. Laurent series, residue integration. 20. Complex analysis applied to potential theory. 21. Numerical methods. 22. Numerical methods in general. 23. Numerical methods in linear algebra. 24. Numerical methods for differential equations. 25. Optimization, graphs. 26. Unconstrained optimization, linear programming. 27. Graphs and combinatorial optimization. 28. Probability and statistics. 29. Data analysis. Probability theory. 30. Mathematical statistics. 31. Appendices. 32. Index.
List(s) this item appears in: Mathematics
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Books Books UE-Central Library 510.2462 K9254 (Browse shelf(Opens below)) Available T2651

Includes bibliographical references and index.

1. Ordinary differential equations.
2. First-order differential equations.
3. Linear differential equations of second and higher order.
4. Systems of differential equations, phase plane, qualitative methods.
5. Series solutions of differential equations. Special functions.
6. Laplace transforms.
7. Linear algebra, vector calculus.
8. Linear algebra: matrices, vectors, determinants. Linear systems of equations.
9. Linear algebra: matrix eigenvalue problems.
10. Vector differential calculus. Grad, div, curl.
11. Vector integral calculus. Integral theorems.
12. Fourier analysis and partial differential equations.
13. Fourier series, integrals, and transforms.
14. Partial differential equations.
15. Complex analysis.
16. Complex numbers and functions. Conformal mapping.
17. Complex integration.
18. Power series, taylor series.
19. Laurent series, residue integration.
20. Complex analysis applied to potential theory.
21. Numerical methods.
22. Numerical methods in general.
23. Numerical methods in linear algebra.
24. Numerical methods for differential equations.
25. Optimization, graphs.
26. Unconstrained optimization, linear programming.
27. Graphs and combinatorial optimization.
28. Probability and statistics.
29. Data analysis. Probability theory.
30. Mathematical statistics.
31. Appendices.
32. Index.

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