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Scientific Computing for DPhil Students
By Oxford UniversityEducation
Scientific Computing for DPhil Students episodes
- PDEs (5.8)In this concluding lecture, Professor Nick Trefethen discusses the question Who invented the great numerical algorithms?54 min
- 51 min
- PDEs (5.6)In this lecture, Professor Trefethen discusses Fourier, Laurent, and Chebyshev. Then, Chebyshev series and interpolants51 min
- PDEs (5.5)In this lecture, Professor Trefethen discusses Fourier spectral discretization and Fourier spectral discretization via FFT.51 min
- PDEs (5.4)In this lecture, Professor Trefethen discusses finite differencing in general grids and multiple space dimensions.52 min
- PDEs (5.3)In this lecture, Professor Trefethen discusses order of accuracy and reaction-diffusion equations and other stiff PDEs.53 min
- PDEs (5.2)In this lecture, Professor Trefethen discusses numerical instability and implicit 1D finite differences.50 min
- PDEs (5.1)In this lecture, Professor Trefethen discusses PDEs in science and engineering, and explicit 1D finite differences.52 min
- ODEs and Nonlinear Dynamics (4.4)In this lecture, Professor Trefethen discusses stability regions, stiffness, and looks at BVPs in Chebfun.51 min
- ODEs and Nonlinear Dynamics (4.3)In this lecture, Professor Trefethen discusses planetary motions, chaos and Lyapunov exponents, the Lorenz equations, and lastly Sinai billiards and the SIAM 100-digit challenge.51 min
About Scientific Computing for DPhil Students
From the publisher's feed
Nick Trefethen FRS, Professor of Numerical Analysis at Oxford University, teaches a course for DPhil (PhD) students across all the science departments at the university. The course is distinctive for…
its exceptionally strong conceptual basis, focussing on fundamental ideas of numerical algorithms and the world of science and engineering they sustain. Historical and philosophical notes on many subjects make these lectures unusual, offering deeper understanding and new perspectives for anyone involved with numerical analysis or scientific computing.
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