Complex Variables Demystified
| Author | : | |
| Rating | : | 4.54 (766 Votes) |
| Asin | : | 007154920X |
| Format Type | : | paperback |
| Number of Pages | : | 275 Pages |
| Publish Date | : | 2015-03-25 |
| Language | : | English |
DESCRIPTION:
Written in an easy-to-follow format, this book begins by covering complex numbers, functions, limits, and continuity, and the Cauchy-Riemann equations. Then it's on to conformal mapping, transformations, and boundary value problems. You'll delve into sequences, Laurent series, complex integration, and residue theory. Hundreds of examples and worked equations make it easy to understand the material, and end-of-chapter quizzes and a final exam help reinforce learning.This fast and easy guide offers:Numerous figures to illustrate key concepts Sample problems with worke
He is the author of Linear Algebra Demystified, Quantum Mechanics Demystified, Relativity Demystified, and MATLAB Demystified, among other successful titles.. About the AuthorDavid McMahon has worked for several years asa physicist and researcher at Sandia National Laboratories
David McMahon has worked for several years asa physicist and researcher at Sandia National Laboratories. He is the author of Linear Algebra Demystified, Quantum Mechanics Demystified, Relativity Demystified, and MATLAB Demystified, among other successful titles.
"NEEDED ANOTHER RUN THROUGH BY AN EDITOR" according to William M.. I wish I could give this more stars. Mcmahon's explanations are often quite good, and the use of graphics in helping understand what complex functions look like is nicely done, but: there are still too many typos for me to think this would be useful to someone who did not already know the material. Some of the typos you might be expected t. William C. Bauldry said Needs a lot of work. Unfortunately, there is a large number of typos and a fair number of mathematical errors in the text. Several examples (e.g., the sole example for Cauchy's integral formulas) seem to be from another book on PDE's rather than for complex analysis. The graphics also need a lot of work to make them better and more illustrative.Overall, a nice. Way too many errors. Matthew Barclay I have to agree with the other reviewers - only I'd give it 2 stars. Most textbooks on this subject seem to be strictly theorem, proof, theorem, proof, etc. with no practical examples. This text offers more, but literally has a serious typo per page. When you're trying to learn complex analysis, it's a bit much to have to decide when the a