Numerical analysis and optimization : an introduction to mathematical modelling and numerical simulation / Grégoire Allaire ; translated by Dr Alan Craig
By: Allaire, Grégoire
Material type:
Text; Format:
print
Series: Numerical mathematics & scientific computationPublisher: Oxford : Oxford University, 2009Edition: 1st ed., repDescription: XVI, 455 p. : il. ; 24 cmISBN: 978-0-19-920522-6Subject(s): Análisis numérico
| Optimización matemática
| Item type | Home library | Call number | Status | Loan | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|---|
| Monografías | 02. BIBLIOTECA CAMPUS PUERTO REAL | 519.6/ALL/num (Browse shelf) | Checked out | PREST. LIBROS | 31/01/2022 | 3742075723 | |
| Monografías | 02. BIBLIOTECA CAMPUS PUERTO REAL | 519.6/ALL/num (Browse shelf) | Checked out | PREST. LIBROS | 31/01/2022 | 3743113443 | |
| Monografías | 02. BIBLIOTECA CAMPUS PUERTO REAL | 519.6/ALL/num (Browse shelf) | Checked out | PREST. LIBROS | 16/03/2021 | 3743113381 | |
| Monografías | 02. BIBLIOTECA CAMPUS PUERTO REAL | 519.6/ALL/num (Browse shelf) | Checked out | PREST. LIBROS | 31/01/2022 | 3744225676 |
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Índice
Bibliografía: p. 447-449
This text, based on the author's teaching at Ecole Polytechnique, introduces the reader to the world of mathematical modelling and numerical simulation. Covering the finite difference method; variational formulation of elliptic problems; Sobolev spaces; elliptical problems; the finite element method; Eigenvalue problems; evolution problems; optimality conditions and algorithms and methods of operational research, and including a several exercises throughout, this is an ideal text for advanced undergraduate students and graduates in applied mathematics, engineering, computer science, and the physical sciences.
Índice: 1. Introduction to mathematical modelling and numerical simulation; 2. Finite difference method; 3. Variational formulation of elliptic problems; 4. Sobolev spaces; 5. The mathematical study of elliptical problems; 6. The finite element method; 7. Eigenvalue problems; 8. Evolution problems; 9. Introduction to optimization; 10. Optimality conditions and algorithms; 11. Methods of operational research; APPENDICES; 12. Review of Hilbert spaces; 13. Matrix numerical analysis; Bibliography; Index
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