Name: Afternotes Goes to Graduate School. Lectures on Advanced Numerical Analysis (en Inglés)
SKU: 68341881
Price: 118.10 USD
Availability: InStock
Author: G.W. Stewart

portada Afternotes Goes to Graduate School. Lectures on Advanced Numerical Analysis (en Inglés)

Afternotes Goes to Graduate School. Lectures on Advanced Numerical Analysis (en Inglés)

Formato

Libro Físico

Editorial

SIAM - Society for Industrial and Applied Mathematics

Autor

G.W. Stewart

Año

1998

Idioma

Inglés

N° páginas

257

Encuadernación

Tapa Blanda

Dimensiones

22.8x15.1x1.2 cm

ISBN13

9780898714043

Afternotes Goes to Graduate School. Lectures on Advanced Numerical Analysis (en Inglés)

G.w. Stewart (Autor) · SIAM - Society for Industrial and Applied Mathematics · Tapa Blanda

Libro Nuevo Importado

Envío: 25 a 32 días háb.

$ 196.83$ 118.10

-40%

Costos de importación incluídos en el precio ✅

Libro Nuevo

Quedan 2 unidades

$ 118.10

Llega entre el 05 Oct y el 19 Oct a Quito, Pichincha. Seleccionar ubicación

Agregar a lista de deseos

Reseña del libro "Afternotes Goes to Graduate School. Lectures on Advanced Numerical Analysis (en Inglés)"

Stewart uses a fresh presentation that is clear and intuitive as he covers topics such as discrete and continuous approximation, linear and quadratic splines, eigensystems, and Krylov sequence methods. He concludes with two lectures on classical iterative methods and nonlinear equations.

In this follow-up to Afternotes on Numerical Analysis (SIAM, 1996) the author continues to bring the immediacy of the classroom to the printed page. Like the original undergraduate volume, Afternotes goes to Graduate School is the result of the author writing down his notes immediately after giving each lecture; in this case the afternotes are the result of a follow-up graduate course taught by Professor Stewart at the University of Maryland. The algorithms presented in this volume require deeper mathematical understanding than those in the undergraduate book, and their implementations are not trivial.

Stewart uses a fresh presentation that is clear and intuitive as he covers topics such as discrete and continuous approximation, linear and quadratic splines, eigensystems, and Krylov sequence methods. He concludes with two lectures on classical iterative methods and nonlinear equations.