1
Your Cart
1
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.

Quantity: 1
Total $19.99

Frequently bought with Machine Learning Engineering


View more
Machine Learning: An Applied Mathematics Introduction Original price was: $29.99.Current price is: $14.99.
View more
Introduction to Machine Learning with Python: A Guide for Data Scientists Original price was: $39.99.Current price is: $19.99.
View more
View more
How Linux Works, 3rd Edition: What Every Superuser Should Know Original price was: $49.99.Current price is: $19.99.
View more
Python for Programmers: with Big Data and Artificial Intelligence Case Studies Original price was: $49.99.Current price is: $19.99.
View more
Programming Languages: Concepts and Implementation Original price was: $79.99.Current price is: $19.99.
View more
View more
Cart