A long-awaited revision of one of the most respected primers on applied mathematics Principles of Applied Mathematics provides a comprehensive look at how classical methods are used in many fields and contexts. Updated to reflect developments of the last twenty years, it shows how two areas of classical applied mathematics-spectral theory of operators and asymptotic analysis-are useful for solving a wide range of applied science problems. Topics such as asymptotic expansions, inverse scattering theory, and perturbation methods are combined in a unified way with classical theory of linear operators. Several new topics, including wavelet analysis, multigrid methods, and homogenization theory, are blended into this mix to amplify this theme. This book is ideal as a survey course for graduate students in applied mathematics and theoretically oriented engineering and science students.
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