Handbook of Linear Partial Differential Equations for Engineers and Scientists
Taylor & Francis

Handbook of Linear Partial Differential Equations for Engineers and Scientists - Hardback

Edition: 2nd Edition
Subjects: Engineering, Environmental science, engineering & technology
ISBN13: 9781466581456
Published: 15 Jan 2016

Format - Hardback
By Andrei D. Polyanin

The release of this order may delay up to 4-6 weeks due to congestion at publisher’s warehouse.

Regular price A$361.60
Sale price A$361.60 Regular price A$452.00

Handbook of Linear Partial Differential Equations for Engineers and Scientists - Hardback

Regular price A$361.60
Sale price A$361.60 Regular price A$452.00
Product description
  • Includes nearly 4,000 linear partial differential equations (PDEs) with solutions
  • Presents solutions of numerous problems relevant to heat and mass transfer, wave theory, hydrodynamics, aerodynamics, elasticity, acoustics, electrodynamics, diffraction theory, quantum mechanics, chemical engineering sciences, electrical engineering, and other fields
  • Outlines basic methods for solving various problems in science and engineering
  • Contains much more linear equations, problems, and solutions than any other book currently available
  • Provides a database of test problems for numerical and approximate analytical methods for solving linear PDEs and systems of coupled PDEs

New to the Second Edition

  • More than 700 pages with 1,500+ new first-, second-, third-, fourth-, and higher-order linear equations with solutions
  • Systems of coupled PDEs with solutions
  • Some analytical methods, including decomposition methods and their applications
  • Symbolic and numerical methods for solving linear PDEs with Maple, Mathematica, and MATLAB®
  • Many new problems, illustrative examples, tables, and figures

To accommodate different mathematical backgrounds, the authors avoid wherever possible the use of special terminology, outline some of the methods in a schematic, simplified manner, and arrange the material in increasing order of complexity.

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