By R. Wong,Werner Rheinboldt,Daniel Siewiorek
Comprised of 9 chapters, this quantity starts with an advent to the basic ideas of asymptotics, by way of a dialogue on classical ideas utilized in the asymptotic overview of integrals, together with Laplace's process, Mellin rework options, and the summability procedure. next chapters specialize in the simple idea of distributions; the distributional process; uniform asymptotic expansions; and integrals which rely on auxiliary parameters as well as the asymptotic variable. The ebook concludes by way of contemplating double integrals and higher-dimensional integrals.
This monograph is meant for graduate scholars and study employees in arithmetic, physics, and engineering.
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Extra info for Asymptotic Approximations of Integrals: Computer Science and Scientific Computing
Asymptotic Approximations of Integrals: Computer Science and Scientific Computing by R. Wong,Werner Rheinboldt,Daniel Siewiorek