Manual An Introduction to Partial Differential Equations

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It seems that you're in Germany. We have a dedicated site for Germany. This textbook is designed for a one year course covering the fundamentals of partial differential equations, geared towards advanced undergraduates and beginning graduate students in mathematics, science, engineering, and elsewhere. The exposition carefully balances solution techniques, mathematical rigor, and significant applications, all illustrated by numerous examples.

Extensive exercise sets appear at the end of almost every subsection, and include straightforward computational problems to develop and reinforce new techniques and results, details on theoretical developments and proofs, challenging projects both computational and conceptual, and supplementary material that motivates the student to delve further into the subject. No previous experience with the subject of partial differential equations or Fourier theory is assumed, the main prerequisites being undergraduate calculus, both one- and multi-variable, ordinary differential equations, and basic linear algebra.

While the classical topics of separation of variables, Fourier analysis, boundary value problems, Green's functions, and special functions continue to form the core of an introductory course, the inclusion of nonlinear equations, shock wave dynamics, symmetry and similarity, the Maximum Principle, financial models, dispersion and solutions, Huygens' Principle, quantum mechanical systems, and more make this text well attuned to recent developments and trends in this active field of contemporary research.

Numerical approximation schemes are an important component of any introductory course, and the text covers the two most basic approaches: finite differences and finite elements. Peter J. Olver is professor of mathematics at the University of Minnesota. His wide-ranging research interests are centered on the development of symmetry-based methods for differential equations and their manifold applications.

He is the author of over papers published in major scientific research journals as well as 4 other books, including the definitive Springer graduate text, Applications of Lie Groups to Differential Equations, and another undergraduate text, Applied Linear Algebra. At the end of every chapter there are well-chosen exercises that genuinely add depth to the concepts treated in the text. Students, and perhaps instructors too, will learn much from it. If they wish to go beyond the material taught in a first course, this text will prepare them better than any other I know.

Olver … thoroughly covers the topic in a readable format and includes plenty of examples and exercises, ranging from the typical to independent projects and computer projects.

Introduction to Partial Differential Equations, 2nd Edition - PDF Free Download

Summing Up: Highly Recommended. Upper-division undergraduates, graduate students, and faculty.


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Sullivan, Choice, Vol. Olver … thoroughly covers the topic in a readable format and includes plenty of examples and exercises, ranging from the typical to independent projects and computer projects.

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Summing Up: Highly Recommended. Upper-division undergraduates, graduate students, and faculty. Sullivan, Choice, Vol. JavaScript is currently disabled, this site works much better if you enable JavaScript in your browser. Undergraduate Texts in Mathematics Free Preview.

An Introduction to Partial Differential Equations

Many interesting examples and exercises that are connected to real world problems balanced with well explained theory Provides an excellent reading course for undergraduate partial differential equations Treats both linear and nonlinear partial differential equations see more benefits. Buy eBook. Buy Hardcover. Buy Softcover. Rent the eBook. FAQ Policy. About this Textbook This textbook is designed for a one year course covering the fundamentals of partial differential equations, geared towards advanced undergraduates and beginning graduate students in mathematics, science, engineering, and elsewhere.

Show all. With appropriate selection of topics this could serve for a one semester introductory course for undergraduates or a full year course for graduate students.


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