Bridges the gap between classical analysis and modern applications. Following the chapter on the model building stage, it introduces traditional techniques for solving ordinary differential equations, adding new material on approximate solution methods such as perturbation techniques and elementary numerical solutions. Also includes analytical methods to deal with important classes of finite-difference equations. The last half discusses numerical solution techniques and partial differential equations.
A textbook that bridges the gap between classical analysis and modern applications. Chapters 1 through 6 comprise a suitable package for a one-semester junior level course, Chapters 7 to 12 can be taught as a one-semester course for advanced senior or graduate level students. The homework problems are ranked by numerical subscript or an asterisk. Subscript 1 denotes mainly computational problems, whereas subscripts 2 and 3 require more synthesis and analysis. Problems with an asterisk are the most difficult and are suited for graduate students. Annotation c. Book News, Inc., Portland, OR (booknews.com)