Name: Scientific Computing: An Introductory Survey (Classics in Applied Mathematics) (en Inglés)
Price: 140.64 USD
Availability: InStock
Author: Michael T. Heath
ISBN: 9781611975574

portada Scientific Computing: An Introductory Survey (Classics in Applied Mathematics) (en Inglés)

Scientific Computing: An Introductory Survey (Classics in Applied Mathematics) (en Inglés)

Formato

Libro Físico

Autor

Michael T. Heath

Año

2018

Idioma

Inglés

N° páginas

567

Encuadernación

Tapa Blanda

ISBN13

9781611975574

N° edición

Scientific Computing: An Introductory Survey (Classics in Applied Mathematics) (en Inglés)

Michael T. Heath (Autor) · · Tapa Blanda

Libro Nuevo Importado

Envío: 26 a 33 días háb.

$ 255.70$ 140.64

-45%

Costos de importación incluídos en el precio ✅

Libro Nuevo

Quedan 28 unidades

$ 140.64

Llega entre el 18 Sep y el 01 Oct a Quito, Pichincha. Seleccionar ubicación

Agregar a lista de deseos

Reseña del libro "Scientific Computing: An Introductory Survey (Classics in Applied Mathematics) (en Inglés)"

This book differs from traditional numerical analysis texts in that it focuses on the motivation and ideas behind the algorithms presented rather than on detailed analyses of them. It presents a broad overview of methods and software for solving mathematical problems arising in computational modeling and data analysis, including proper problem formulation, selection of effective solution algorithms, and interpretation of results. In the 20 years since its original publication, the modern, fundamental perspective of this book has aged well, and it continues to be used in the classroom. This Classics edition has been updated to include pointers to Python software and the Chebfun package, expansions on barycentric formulation for Lagrange polynomial interpretation and stochastic methods, and the availability of about 100 interactive educational modules that dynamically illustrate the concepts and algorithms in the book. Scientific Computing: An Introductory Survey, Second Edition is intended as both a textbook and a reference for computationally oriented disciplines that need to solve mathematical problems.