NUMERICAL ANALYSIS AND SCIENTIFIC COMPUTATION 2ED (HB 2022). Este artículo no está disponible.
Idioma: inglés
Editorial: Chapman and Hall/CRC, 2022
- Tapa dura
- Nuevo

Librería: SMASS Sellers, IRVING, TX, Estados Unidos de AmericaSMASS Sellers
Vendedor de IberLibro desde 22 de febrero de 2022
Condición: Nuevo
EUR 118,78
Descripción del artículo del vendedor
Brand New Original US Edition. Customer service! Satisfaction Guaranteed.
N° de ref. del artículo SNTA-58724
- Título
- NUMERICAL ANALYSIS AND SCIENTIFIC COMPUTATION 2ED (HB 2022)
- Autor
- Leader, Jeffery J.
- Editorial
- Chapman and Hall/CRC
- Año de publicación
- 2022
- Estado
- New
- Encuadernación
- Encuadernación de tapa dura
- Idioma
- inglés
- ISBN 10
- 0367486865
- ISBN 13
- 9780367486860
- Edición
- 2ª Edición
- Serie
- Libro 111 de 130: Textbooks in Mathematics
This is an introductory single-term numerical analysis text with a modern scientific computing flavor. It offers an immediate immersion in numerical methods featuring an up-to-date approach to computational matrix algebra and an emphasis on methods used in actual software packages, always highlighting how hardware concerns can impact the choice of algorithm. It fills the need for a text that is mathematical enough for a numerical analysis course yet applied enough for students of science and engineering taking it with practical need in mind.
The standard methods of numerical analysis are rigorously derived with results stated carefully and many proven. But while this is the focus, topics such as parallel implementations, the Basic Linear Algebra Subroutines, halfto quadruple-precision computing, and other practical matters are frequently discussed as well.
Prior computing experience is not assumed. Optional MATLAB subsections for each section provide a comprehensive self-taught tutorial and also allow students to engage in numerical experiments with the methods they have just read about. The text may also be used with other computing environments.
This new edition offers a complete and thorough update. Parallel approaches, emerging hardware capabilities, computational modeling, and data science are given greater weight.
“Sinopsis” puede pertenecer a otra edición de este título.
Acerca del autor
“Acerca de” puede pertenecer a otra edición de este título.