Name: Linear Algebra for Computational Sciences and Engineering (en Inglés)
Price: 96.98 USD
Availability: InStock
Author: Neri, Ferrante
ISBN: 9783030213237

portada Linear Algebra for Computational Sciences and Engineering (en Inglés)

Linear Algebra for Computational Sciences and Engineering (en Inglés)

Formato

Libro Físico

Autor

Ferrante Neri

Editorial

Springer

Idioma

Inglés

N° páginas

574

Encuadernación

Tapa Blanda

Dimensiones

25.4 x 17.8 x 3.1 cm

Peso

1.03 kg.

ISBN13

9783030213237

N° edición

0002

Categorías

Ciencia y análisis de datos: generalidades
Álgebra
Matemáticas aplicadas
Análisis y captura de datos

Linear Algebra for Computational Sciences and Engineering (en Inglés)

Ferrante Neri (Autor) · Springer · Tapa Blanda

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Reseña del libro "Linear Algebra for Computational Sciences and Engineering (en Inglés)"

This book presents the main concepts of linear algebra from the viewpoint of applied scientists such as computer scientists and engineers, without compromising on mathematical rigor. Based on the idea that computational scientists and engineers need, in both research and professional life, an understanding of theoretical concepts of mathematics in order to be able to propose research advances and innovative solutions, every concept is thoroughly introduced and is accompanied by its informal interpretation. Furthermore, most of the theorems included are first rigorously proved and then shown in practice by a numerical example. When appropriate, topics are presented also by means of pseudocodes, thus highlighting the computer implementation of algebraic theory.It is structured to be accessible to everybody, from students of pure mathematics who are approaching algebra for the first time to researchers and graduate students in applied sciences who need a theoretical manual of algebra to successfully perform their research. Most importantly, this book is designed to be ideal for both theoretical and practical minds and to offer to both alternative and complementary perspectives to study and understand linear algebra.