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Can I read Partial Differential Equations: Mathematical Techniques for Engineers (Mathematical Engineering) on EtoBox?

Partial Differential Equations: Mathematical Techniques for Engineers (Mathematical Engineering) by Marcelo Epstein is a nonfiction available to read on EtoBox.

What is Partial Differential Equations: Mathematical Techniques for Engineers (Mathematical Engineering) about?

This monograph presents a graduate-level treatment of partial differential equations (PDEs) for engineers. The book begins with a review of the geometrical interpretation of systems of ODEs, the appearance of PDEs in engineering is motivated by the general form of balance laws in continuum physics. Four chapters are devoted to a detailed treatment of the single first-order PDE, including shock waves and genuinely non-linear models, with applications to traffic design and gas dynamics. The rest of the book deals with second-order equations. In the treatment of hyperbolic equations, geometric arguments are used whenever possible and the analogy with discrete vibrating systems is emphasized. The diffusion and potential equations afford the opportunity of dealing with questions of uniqueness and continuous dependence on the data, the Fourier integral, generalized functions (distributions), Duhamel's principle, Green's functions and Dirichlet and Neumann problems. The target audience primarily comprises graduate students in engineering, but the book may also be beneficial for lecturers, and research experts both in academia in industry. Erscheinungsdatum: 05.05.2017

Who reads Partial Differential Equations: Mathematical Techniques for Engineers (Mathematical Engineering)?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Marcelo Epstein
Publisher
Springer International Publishing : Imprint Springer, Springer International Publishing, Springer International Publishing ; Springer International Publishing
Published
2017
Language
EN
ISBN
9783319552118
Category
nonfiction
Subjects
Mathematics, Engineering, Stem

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