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Scientific Computing for DPhil Students
By Oxford UniversityEducation
Scientific Computing for DPhil Students episodes
- Sparse Matrices and Iterative Methods (1.4)In this lecture, Professor Trefethon provides a definition of numerical analysis and provides an overview of matrix iterations, including a discussion on the Lanczos iteration. He also reviews various numerical software tools and information sources.49 min
- Sparse Matrices and Iterative Methods (1.3)In this lecture, Professor Trefethen discusses preconditioned CG and also provides examples of preconditioners55 min
- Sparse Matrices and Iterative Methods (1.2)In this lecture, Professor Trefethen discusses the topic of conjugate gradients and the convergence of CG.53 min
- Sparse Matrices and Iterative Methods (1.1)In this lecture, Professor Trefethen first provides an overview of the field of linear algebra and optimization. Secondly, he discusses the question of how fast we can solve Ax=3Db? Thirdly, he discusses sparse matrices51 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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