Título : |
Análisis numérico |
Tipo de documento: |
texto impreso |
Autores: |
Richard L. Burden, Autor ; J. Douglas Faires, Autor ; Oscar Palmas, Traductor |
Mención de edición: |
Séptima edición |
Editorial: |
México, D. F. : International Thomson Editores |
Fecha de publicación: |
2002 |
Número de páginas: |
xiii, 839 páginas |
Il.: |
diagramas, tablas |
Dimensiones: |
24 cm |
ISBN/ISSN/DL: |
978-970-686-134-4 |
Nota general: |
Incluye índice alfabético |
Idioma : |
Español (spa) |
Clasificación: |
[Agneaux] MATEMÁTICAS - ANÁLISIS NUMÉRICO
|
Clasificación: |
515 Análisis |
Nota de contenido: |
Soluciones de ecuaciones de una variable -- Interpòlación y aproximación polinomial -- Diferenciación e integración numéricas -- Problemas de valor inicial para ecuaciones diferenciales ordinarias -- Métodos directos para resolver sistemas lineales -- Métodos iterativos en el álgebra matricial -- Teoría de aproximación -- Aproximación de los valores característicos -- Soluciones numéricas de sistemas de ecuaciones no lineales -- Problemas con valor en la frontera para ecuaciones diferenciales ordinarias -- Soluciones numéricas para las ecuaciones diferenciales parciales. |
Link: |
https://biblioteca.unap.edu.pe/opac_css/index.php?lvl=notice_display&id=22844 |
Análisis numérico [texto impreso] / Richard L. Burden, Autor ; J. Douglas Faires, Autor ; Oscar Palmas, Traductor . - Séptima edición . - México, D. F. : International Thomson Editores, 2002 . - xiii, 839 páginas : diagramas, tablas ; 24 cm. ISBN : 978-970-686-134-4 Incluye índice alfabético Idioma : Español ( spa)
Clasificación: |
[Agneaux] MATEMÁTICAS - ANÁLISIS NUMÉRICO
|
Clasificación: |
515 Análisis |
Nota de contenido: |
Soluciones de ecuaciones de una variable -- Interpòlación y aproximación polinomial -- Diferenciación e integración numéricas -- Problemas de valor inicial para ecuaciones diferenciales ordinarias -- Métodos directos para resolver sistemas lineales -- Métodos iterativos en el álgebra matricial -- Teoría de aproximación -- Aproximación de los valores característicos -- Soluciones numéricas de sistemas de ecuaciones no lineales -- Problemas con valor en la frontera para ecuaciones diferenciales ordinarias -- Soluciones numéricas para las ecuaciones diferenciales parciales. |
Link: |
https://biblioteca.unap.edu.pe/opac_css/index.php?lvl=notice_display&id=22844 |
Análisis numérico
Burden, Richard L.Faires, J. Douglas - -
México, D. F. : International Thomson Editores - 2002
Incluye índice alfabético
Soluciones de ecuaciones de una variable -- Interpòlación y aproximación polinomial -- Diferenciación e integración numéricas -- Problemas de valor inicial para ecuaciones diferenciales ordinarias -- Métodos directos para resolver sistemas lineales -- Métodos iterativos en el álgebra matricial -- Teoría de aproximación -- Aproximación de los valores característicos -- Soluciones numéricas de sistemas de ecuaciones no lineales -- Problemas con valor en la frontera para ecuaciones diferenciales ordinarias -- Soluciones numéricas para las ecuaciones diferenciales parciales.
|
| ![Análisis numérico vignette](data:image/jpeg;base64,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) |