General Quantum Numerical Analysis
Chapman & Hall/CRC (Verlag)
978-1-032-74150-5 (ISBN)
The quantum calculus or q-calculus began with F.H. Jackson in the early twentieth century, but this kind of calculus had already been worked out by Euler and Jacobi. Recently, it has aroused interest due to high demand of mathematics that models quantum computing and the connection between mathematics and physics.
Quantum calculus has many applications in different mathematical areas such as number theory, combinatorics, orthogonal polynomials, basic hyper-geometric functions and other sciences such as quantum theory, mechanics and the theory of relativity.
The authors summarize the most recent contributions in this area. General Quantum Numerical Analysis is intended for senior undergraduate students and beginning graduate students of engineering and science courses. The twelve chapters in this book are pedagogically organized, each concluding with a section of practical problems.
Svetlin G. Georgiev is a mathematician who has worked in various areas of mathematics. He currently focuses on harmonic analysis, functional analysis, partial differential equations, ordinary differential equations, Clifford and quaternion analysis, integral equations and dynamic calculus on time scales. Khaled Zennir earned his PhD in mathematics in 2013 from Sidi Bel Abbès University, Algeria. In 2015, he received his highest diploma in Habilitation in mathematics from Constantine University, Algeria. He is currently an assistant professor at Qassim University in the Kingdom of Saudi Arabia. His research interests lie in the subjects of nonlinear hyperbolic partial differential equations: global existence, blowup and longtime behavior.
1. General Quantum Differentiation. 2. General Quantum Integration. 3. β -Elementary Functions. 4. General Quantum Polynomial Interpolation. 5. Numerical β -Integration. 6. Piecewise Polynomial Approximation. 7. The Euler Method. 8. The Order-Two Taylor Series Method-TS(2). 9. The Order-p Taylor Series Method-TS(p). 10. Linear Multistep Methods-LLMs. 11. Runge-Kutta Methos-RMMs. 12. The Adomain Polynomoials Method.
| Erscheinungsdatum | 04.05.2024 |
|---|---|
| Reihe/Serie | Advances in Applied Mathematics |
| Sprache | englisch |
| Maße | 156 x 234 mm |
| Gewicht | 843 g |
| Themenwelt | Mathematik / Informatik ► Mathematik ► Analysis |
| Mathematik / Informatik ► Mathematik ► Angewandte Mathematik | |
| ISBN-10 | 1-032-74150-3 / 1032741503 |
| ISBN-13 | 978-1-032-74150-5 / 9781032741505 |
| Zustand | Neuware |
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