Discrete Taylor Transform and Inverse Transform (eBook)
691 Seiten
Wiley-IEEE Press (Verlag)
978-1-394-24009-8 (ISBN)
Revolutionize the calculation of mixed derivatives with this groundbreaking text
Transform and inverse transform techniques, such as the Fourier transform and the Laplace transform, enable scientists and engineers to conduct research and design in transformed domains where the work is simpler, after which the results can be converted back into the real domain where they can be applied or actualized. This latter stage in the process, the inverse transform, ordinarily poses significant challenges. New transform/inverse transform techniques carry extraordinary potential to produce revolutionary new science and engineering solutions.
Discrete Taylor Transform and Inverse Transform presents the groundbreaking discovery of a new transform technique. Placing a novel emphasis on the 'position variable' and 'derivative operator' as main actors, the Discrete Taylor Transform and Inverse Transform (D-TTIT) will facilitate the calculation of mixed derivatives of multivariate functions to any desired order. The result promises to create new applications not only in its allied fields of quantum physics and quantum engineering, but potentially much more widely.
Readers will also find:
- Discussion of possible applications in electrical engineering, acoustics, photonics, and many more
- Analysis of functions depending on one, two, or three independent variables
- Tools for theoreticians and practitioners to design their own algorithms for solving specific boundary-value problems
Discrete Taylor Transform and Inverse Transform is ideal for any scientific or engineering professional looking to understand a cutting-edge research and design tool.
Alireza Baghai-Wadji, PhD, DSc, is Professor Emeritus of Electronics and Computational Engineering at the University of Cape Town, South Africa. His contributions to mathematical physics include automatic diagonalization of PDEs in physics, construction of physics-inspired Dirac delta functions, and the development of algebraic and exponential regularization techniques for taming infinities and zooming into the nearfields.
Revolutionize the calculation of mixed derivatives with this groundbreaking text Transform and inverse transform techniques, such as the Fourier transform and the Laplace transform, enable scientists and engineers to conduct research and design in transformed domains where the work is simpler, after which the results can be converted back into the real domain where they can be applied or actualized. This latter stage in the process, the inverse transform, ordinarily poses significant challenges. New transform/inverse transform techniques carry extraordinary potential to produce revolutionary new science and engineering solutions. Discrete Taylor Transform and Inverse Transform presents the groundbreaking discovery of a new transform technique. Placing a novel emphasis on the position variable and derivative operator as main actors, the Discrete Taylor Transform and Inverse Transform (D-TTIT) will facilitate the calculation of mixed derivatives of multivariate functions to any desired order. The result promises to create new applications not only in its allied fields of quantum physics and quantum engineering, but potentially much more widely. Readers will also find: Discussion of possible applications in electrical engineering, acoustics, photonics, and many more Analysis of functions depending on one, two, or three independent variables Tools for theoreticians and practitioners to design their own algorithms for solving specific boundary-value problems Discrete Taylor Transform and Inverse Transform is ideal for any scientific or engineering professional looking to understand a cutting-edge research and design tool.
| Erscheint lt. Verlag | 3.12.2024 |
|---|---|
| Sprache | englisch |
| Themenwelt | Technik ► Elektrotechnik / Energietechnik |
| Schlagworte | algorithms • Bra-Ket Inner Product • Dirac delta function • dual bases • Independent variables • linear systems • low-dimensional discrete function spaces • mixed derivatives • multivariate functions • orthogonal bases • real domain • toy models |
| ISBN-10 | 1-394-24009-0 / 1394240090 |
| ISBN-13 | 978-1-394-24009-8 / 9781394240098 |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
| Haben Sie eine Frage zum Produkt? |
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