A First Course in Complex Analysis (Synthesis Lectures on Mathematics & Statistics). Cet article n’est pas disponible.
Langue : anglais
Edité par Springer, 2022
Série : Livre 41 sur 72 - Synthesis Lectures on Mathematics & Statistics
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A propos de cet article
In English.
N° de réf. du vendeur ria9783031791710_new
- Titre
- A First Course in Complex Analysis (Synthesis Lectures on Mathematics & Statistics)
- Auteur
- Willms, Allan R.
- Éditeur
- Springer
- Année de publication
- 2022
- État de l'article
- New
- Reliure
- Couverture souple
- Langue
- anglais
- ISBN à 10 chiffres
- 3031791711
- ISBN à 13 chiffres
- 9783031791710
- Poids de l'article
- 541 grammes
- Série
- Livre 41 sur 72: Synthesis Lectures on Mathematics & Statistics
This book introduces complex analysis and is appropriate for a first course in the subject at typically the third-year University level. It introduces the exponential function very early but does so rigorously. It covers the usual topics of functions, differentiation, analyticity, contour integration, the theorems of Cauchy and their many consequences, Taylor and Laurent series, residue theory, the computation of certain improper real integrals, and a brief introduction to conformal mapping. Throughout the text an emphasis is placed on geometric properties of complex numbers and visualization of complex mappings.
« Synopsis » peut appartenir à une autre édition de cet ouvrage.
À propos de l’auteur
Allan R. Willms is a professor in the Department of Mathematics & Statistics at the University of Guelph in Canada. He earned a B.Math. (1992) and an M.Math. (1993) from the University of Waterloo in Canada and received a Ph.D. (1997) from Cornell University in Ithaca, NY, USA. He spent five years as a faculty member in the Department of Mathematics & Statistics at the University of Canterbury in Christchurch, New Zealand, after which he moved to Guelph in 2003. He is a generalist applied mathematician and says of himself “I know a little about a lot of things but not much about anything.” His research has included neuronal ion channels, antibiotic resistance, Cheyne-Stokes respiration, resonant Hopf bifurcations, Huygens’ clocks, climate change, cat bladder measurements, parameter range reduction for ODE models, fish population dynamics, E. coli contamination in beef processing plants, epidemiology, robot path planning, cytokine storms, and pathogen survival in manure.
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