Vinh Phu Nguyen

Mathematics for Engineers and Scientists (eBook, PDF)

Concepts, Applications, and History

• Format: PDF

Produktbeschreibung

A majority of mathematics textbooks are written in a rigorous, concise, dry, and boring way. On the other hands, there exist excellent, engaging, fun-to-read popular math books. The problem with these popular books is the lack of mathematics itself. This book is a blend of both. It provides a mathematics book to read, to engage with, and to understand the whys - the story behind the theorems.

Written by an engineer, not a mathematician, who struggled to learn math in high school and in university, this book explains in an informal voice the mathematics that future and current engineering and science students need to acquire. If we learn math to understand it, to enjoy it, not to pass a test or an exam, we all learn math better and there is no such a thing that we call math phobia. With a slow pace and this book, everyone can learn math and use it, as the author did at the age of 40 and with a family to take care of.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 1170
• Erscheinungstermin: 28. Januar 2025
• Englisch
• ISBN-13: 9789819746316
• Artikelnr.: 73177670

Autorenporträt

Vinh Phu Nguyen is a lecturer at the Faculty of Engineering, Monash University in Australia. He received his Ph.D. in computational mechanics from Delft University of Technology in the Netherlands in 2011. During his Ph.D. program, he focused on multiscale failure modeling of quasi-brittle materials. Currently, his research interests include computational fracture mechanics (phase-field fracture/damage models, cohesive zone models), and numerical methods for large deformation problems (material point method).

Inhaltsangabe

Introduction.- Algebra.- Geometry and Trigonometry.- Calculus.- Probability.- Statistics.- Multivariable Calculus.- Tensor.- Differential Equations.- Variational Calculus.- Linear Algebra.- Numerical Analysis.