Imagen de portada de Amazon
Imagen de Amazon.com

Computational methods for physics / Joel Franklin, Reed College.

Por: Tipo de material: TextoTextoDetalles de publicación: Cambridge : Cambridge University Press, 2013.Descripción: xvii, 400 pages : illustrations ; 26 cmISBN:
  • 9781107034303
Tema(s): Clasificación CDD:
  • 530.15 23
Clasificación LoC:
  • QC20 .F735 2013
Contenidos:
Machine generated contents note: 1. Programming overview; 2. Ordinary differential equations; 3. Root-finding; 4. Partial differential equations; 5. Time dependent problems; 6. Integration; 7. Fourier transform; 8. Harmonic oscillators; 9. Matrix inversion; 10. The eigenvalue problem; 11. Iterative methods; 12. Minimization; 13. Chaos; 14. Neural networks; 15. Galerkin methods; References; Index.
Resumen: "There is an increasing need for undergraduate students in physics to have a core set of computational tools. Most problems in physics benefit from numerical methods, and many of them resist analytical solution altogether. This textbook presents numerical techniques for solving familiar physical problems where a complete solution is inaccessible using traditional mathematical methods. The numerical techniques for solving the problems are clearly laid out, with a focus on the logic and applicability of the method. The same problems are revisited multiple times using different numerical techniques, so readers can easily compare the methods. The book features over 250 end-of-chapter exercises. A website hosted by the author features a complete set of programs used to generate the examples and figures, which can be used as a starting point for further investigation. A link to this can be found at www.cambridge.org/9781107034303"--
Etiquetas de esta biblioteca: No hay etiquetas de esta biblioteca para este título. Ingresar para agregar etiquetas.
Valoración
    Valoración media: 0.0 (0 votos)
Existencias
Tipo de ítem Biblioteca actual Signatura Copia número Estado Fecha de vencimiento Código de barras Reserva de ítems
Colección general Colección general Biblioteca Yachay Tech 530.15 F832c 2013 (Navegar estantería(Abre debajo)) Ej. 1 Disponible 002020
Colección general Colección general Biblioteca Yachay Tech 530.15 F832c 2013 (Navegar estantería(Abre debajo)) Ej. 2 Prestado 01/26/2024 002021
Colección general Colección general Biblioteca Yachay Tech 530.15 F832c 2013 (Navegar estantería(Abre debajo)) Ej. 3 Disponible 002022
Total de reservas: 0

Includes bibliographical references (pages 393-394) and index.

Machine generated contents note: 1. Programming overview; 2. Ordinary differential equations; 3. Root-finding; 4. Partial differential equations; 5. Time dependent problems; 6. Integration; 7. Fourier transform; 8. Harmonic oscillators; 9. Matrix inversion; 10. The eigenvalue problem; 11. Iterative methods; 12. Minimization; 13. Chaos; 14. Neural networks; 15. Galerkin methods; References; Index.

"There is an increasing need for undergraduate students in physics to have a core set of computational tools. Most problems in physics benefit from numerical methods, and many of them resist analytical solution altogether. This textbook presents numerical techniques for solving familiar physical problems where a complete solution is inaccessible using traditional mathematical methods. The numerical techniques for solving the problems are clearly laid out, with a focus on the logic and applicability of the method. The same problems are revisited multiple times using different numerical techniques, so readers can easily compare the methods. The book features over 250 end-of-chapter exercises. A website hosted by the author features a complete set of programs used to generate the examples and figures, which can be used as a starting point for further investigation. A link to this can be found at www.cambridge.org/9781107034303"--

No hay comentarios en este titulo.

para colocar un comentario.

Ayuda

X

Correo: bibliotecayachaytech@yachaytech.edu.ec
Teléfono:+593 6299 9500 Ext. 2517

Horario de atención:

X

BIBLIOTECA UNIVERSIDAD YACHAY TECH

  • Área: Fondo Impreso
    Lunes a Viernes de 08h00 a 20h30
    Sábado de 08h00 a 16h30
  • Área: Ingenio
    Abierto 24 horas 7 días
  • Área: Bloque de Servicios, 2do. Piso
    Espacios de Estudio Grupal e Individual, abierto 24 horas 7 días

Recuerda que los espacios son compartidos por toda la comunidad, por lo que debes hacer un uso adecuado
del tiempo que los ocupes, mantenerlos limpios y evitar el daño a las instalaciones y bienes materiales.

También puedes usar nuestros canales de comunicación:

Correo: bibliotecayachaytech@yachaytech.edu.ec
Teléfono: +593 6299 9500 Ext. 2517
Ubicación: San Miguel de Urcuquí, Hacienda San José s/n y Proyecto Yachay

Video

X