Questo è quello che aggiungi al carrello
Maggiori informazioni sul libro
Focusing on the practical application of Partial Differential Equations (PDEs), this book is designed for readers with foundational knowledge in the subject, aiming to tackle real-world problems involving complex geometries, variable coefficients, and nonlinearities. It covers a range of applications in classical mathematical physics and engineering sciences, including fluid mechanics and wave propagation. The content, derived from lectures at Dartmouth College, is tailored for first-year graduate students equipped with a solid mathematical background and programming skills, emphasizing computational techniques.
Acquisto del libro
Numerical Partial Differential Equations for Environmental Scientists and Engineers, Daniel R. Lynch
- Lingua
- Pubblicato
- 2004
- product-detail.submit-box.info.binding
- (Copertina rigida),
- Condizioni del libro
- Danneggiato
- Prezzo
- 22,97 €
Metodi di pagamento
Ancora nessuna valutazione.
- Titolo
- Numerical Partial Differential Equations for Environmental Scientists and Engineers
- Sottotitolo
- A First Practical Course
- Lingua
- Inglese
- Autori
- Daniel R. Lynch
- Editore
- Springer US
- Pubblicato
- 2004
- Formato
- Copertina rigida
- Pagine
- 412
- ISBN10
- 0387236198
- ISBN13
- 9780387236193
- Serie
- Tag
- Natura, Geografia & Topografia, Scienza, Matematica, Tecnologia, Ecologia, Costruzione e Statica, Natura, animali, Scienze ambientali, Ingegneria civile
- Descrizione
- Focusing on the practical application of Partial Differential Equations (PDEs), this book is designed for readers with foundational knowledge in the subject, aiming to tackle real-world problems involving complex geometries, variable coefficients, and nonlinearities. It covers a range of applications in classical mathematical physics and engineering sciences, including fluid mechanics and wave propagation. The content, derived from lectures at Dartmouth College, is tailored for first-year graduate students equipped with a solid mathematical background and programming skills, emphasizing computational techniques.