Written for senior undergraduates in all disciplines of physical science and engineering, the plain language style of this concise guide to numerical methods concentrates on developing computational skills and avoids potentially intimidating formal mathematical proofs. Including numerous worked examples and exercises, this textbook explains the practical realities of numerical techniques.
Written for senior undergraduates in all disciplines of physical science and engineering, the plain language style of this concise guide to numerical methods concentrates on developing computational skills and avoids potentially intimidating formal mathematical proofs. Including numerous worked examples and exercises, this textbook explains the practical realities of numerical techniques.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Ian H. Hutchinson is a plasma physicist and Professor in the School of Engineering at the Massachusetts Institute of Technology where he has been solving physical problems using computers for forty years. A fellow of the American Physical Society and the Institute of Physics, he has won several awards for excellence in teaching at MIT, and is the author of the definitive textbook on making measurements of plasmas, Principles of Plasma Diagnostics (Cambridge University Press, 2002).
Inhaltsangabe
Preface 1. Fitting functions to data 2. Ordinary differential equations 3. Two-point boundary conditions 4. Partial differential equations 5. Diffusion: parabolic PDEs 6. Elliptic problems and iterative matrix solution 7. Fluid dynamics and hyperbolic equations 8. Boltzmann's equation and its solution 9. Energy-resolved diffusive transport 10. Atomistic and particle-in-cell simulation 11. Monte Carlo techniques 12. Monte Carlo radiation transport 13. Next steps Appendix A. Summary of matrix algebra Index.
Preface 1. Fitting functions to data 2. Ordinary differential equations 3. Two-point boundary conditions 4. Partial differential equations 5. Diffusion: parabolic PDEs 6. Elliptic problems and iterative matrix solution 7. Fluid dynamics and hyperbolic equations 8. Boltzmann's equation and its solution 9. Energy-resolved diffusive transport 10. Atomistic and particle-in-cell simulation 11. Monte Carlo techniques 12. Monte Carlo radiation transport 13. Next steps Appendix A. Summary of matrix algebra Index.
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