Fundamentals of Complex Analysis with Applications to Engineering and Science

Saff, Edward; Snider, Arthur

ISBN 10: 0134689488 / ISBN 13: 9780134689487

Edité par Pearson, 2017

A propos de cet article

N° de réf. du vendeur 18396050968

Détails bibliographiques

• Titre: Fundamentals of Complex Analysis with Applications to Engineering and Science
• Éditeur: Pearson
• Date de parution: 2017
• Langue: anglais
• ISBN à 10 chiffres: 0134689488
• ISBN à 13 chiffres: 9780134689487
• Reliure: Couverture souple
• Édition: 3ème Édition
• État de l'article: New

A propos de ce titre

Synopsis

Fundamentals of Complex Analysis with Applications to Engineering and Science, 3rd Edition provides a comprehensive introduction to complex variable theory and its applications to current engineering problems. It is designed to make the fundamentals of the subject more easily accessible to students who have little inclination to wade through the rigors of the axiomatic approach. Modeled after standard calculus books both in level of exposition and layout, it incorporates physical applications throughout the presentation, so that the mathematical methodology appears less sterile to engineering students.

This title is part of the Pearson Modern Classics series. Pearson Modern Classics are acclaimed titles at a value price.

Présentation de l'éditeur

This title is part of the Pearson Modern Classics series. Pearson Modern Classics are acclaimed titles at a value price. Please visit www.pearsonhighered.com/math-classics-series for a complete list of titles.

This is the best seller in this market. It provides a comprehensive introduction to complex variable theory and its applications to current engineering problems. It is designed to make the fundamentals of the subject more easily accessible to students who have little inclination to wade through the rigors of the axiomatic approach. Modeled after standard calculus books—both in level of exposition and layout—it incorporates physical applications throughout the presentation, so that the mathematical methodology appears less sterile to engineering students.