6
Your Cart
6
Your Cart
A clear, practical and self-contained presentation of the methods of asymptotics and perturbation theory for obtaining approximate analytical solutions to differential and difference equations. Aimed at teaching the most useful insights in approaching new problems, the text avoids special methods and tricks that only work for particular problems. Intended for graduates and advanced undergraduates, it assumes only a limited familiarity with differential equations and complex variables. The presentation begins with a review of differential and difference equations, then develops local asymptotic methods for such equations, and explains perturbation and summation theory before concluding with an exposition of global asymptotic methods. Emphasizing applications, the discussion stresses care rather than rigor and relies on many well-chosen examples to teach readers how an applied mathematician tackles problems.
There are 190 computer-generated plots and tables comparing approximate and exact solutions, over 600 problems of varying levels of difficulty, and an appendix summarizing the properties of special functions.
X

New item(s) have been added to your cart.

Frequently bought with Linear Algebra and Optimization for Machine Learning


Python 3: The Comprehensive Guide to Hands-On Python Programming Original price was: $59.99.Current price is: $19.99.
View more
Learning Python Original price was: $49.99.Current price is: $19.99.
View more
View more
Growing Object-Oriented Software, Guided by Tests Original price was: $79.99.Current price is: $19.99.
View more
Black Hat Python, 2nd Edition: Python Programming for Hackers and Pentesters Original price was: $29.99.Current price is: $19.99.
View more
View more
Deep Learning for Coders with Fastai and PyTorch: AI Applications Without a PhD Original price was: $79.99.Current price is: $19.99.
View more
Head First Python: A Brain-Friendly Guide Original price was: $39.99.Current price is: $14.99.
View more
Cart