Pays considerable attention to visualization and graphics
Provides non-routine problem sets that are fundamental to the reader's understanding of the material
Exposes readers to a holistic approach that embraces algebraic/calculus-based solutions and numerical, graphical/geometric, and qualitative approaches
Rezensionen / Stimmen
"The book is addressed to students as well as to instructors of calculus. It helps to understand multivariable analysis utilysing visualization of such geometric structures like domains, curves and surfaces. It also develops the skill of students to use a powerful software for solving modern problems." (Ivan Podvigin, zbMATH 1400.26001, 2019)
Auflage
Sprache
Verlagsort
Verlagsgruppe
Springer International Publishing
Zielgruppe
Für höhere Schule und Studium
Illustrationen
1
86 farbige Abbildungen, 1 s/w Abbildung
XII, 276 p. 87 illus., 86 illus. in color.
Maße
Höhe: 241 mm
Breite: 160 mm
Dicke: 21 mm
Gewicht
ISBN-13
978-3-319-65069-2 (9783319650692)
DOI
10.1007/978-3-319-65070-8
Schweitzer Klassifikation
Ronald Lipsman retired in 2010 after a 41-year career as Professor of Mathematics at the University of Maryland. During his last decade on campus, he served as Senior Associate Dean of the College of Computer, Mathematical and Physical Sciences. His research interests include group representations and harmonic analysis on Lie groups. He received his Ph.D. from MIT in 1967 and was a Gibbs Instructor at Yale University, 1967-1969.
Jonathan Rosenberg is Ruth M. Davis Professor of Mathematics at the University of Maryland, a Fellow of the American Mathematical Society, and a Managing Editor of Annals of K-Theory. His research interests include geometry, topology, and mathematical physics. He received his Ph.D. from the University of California, Berkeley, in 1976, and joined the faculty at Maryland in 1981.
Professors Lipsman and Rosenberg have collaborated on numerous research and educational projects. Among their educational texts is: A Guide to MATLAB, 3rd&n
bsp;ed, 2014.
1. Introduction.- 2. Vectors and Graphics.- 3. Geometry of Curves.- 4. Kinematics.- 5. Directional Derivatives.- 6. Geometry of Surfaces.- 7. Optimization in Several Variables.- 8. Multiple Integrals.- 9. Multidimensional Calculus.- 10. Physical Applications of Vector Calculus.- 11. MATLAB Tips.- Sample Solutions.- Index.
