Ebook Info
- Published: 2014
- Number of pages: 544 pages
- Format: PDF
- File Size: 14.05 MB
- Authors: R. Wong
Description
Asymptotic Approximations of Integrals deals with the methods used in the asymptotic approximation of integrals. Topics covered range from logarithmic singularities and the summability method to the distributional approach and the Mellin transform technique for multiple integrals. Uniform asymptotic expansions via a rational transformation are also discussed, along with double integrals with a curve of stationary points. For completeness, classical methods are examined as well.Comprised of nine chapters, this volume begins with an introduction to the fundamental concepts of asymptotics, followed by a discussion on classical techniques used in the asymptotic evaluation of integrals, including Laplace’s method, Mellin transform techniques, and the summability method. Subsequent chapters focus on the elementary theory of distributions; the distributional approach; uniform asymptotic expansions; and integrals which depend on auxiliary parameters in addition to the asymptotic variable. The book concludes by considering double integrals and higher-dimensional integrals.This monograph is intended for graduate students and research workers in mathematics, physics, and engineering.
User’s Reviews
Reviews from Amazon users which were colected at the time this book was published on the website:
⭐
⭐
⭐
⭐
⭐
Keywords
Free Download Asymptotic Approximations of Integrals: Computer Science and Scientific Computing in PDF format
Asymptotic Approximations of Integrals: Computer Science and Scientific Computing PDF Free Download
Download Asymptotic Approximations of Integrals: Computer Science and Scientific Computing 2014 PDF Free
Asymptotic Approximations of Integrals: Computer Science and Scientific Computing 2014 PDF Free Download
Download Asymptotic Approximations of Integrals: Computer Science and Scientific Computing PDF
Free Download Ebook Asymptotic Approximations of Integrals: Computer Science and Scientific Computing