Numerical Linear Algebra Class in Julia TUM

Numerical Linear Algebra for Computational Science and Information Engineering (CITHN2006) Home, Research, Teaching The course is organized into 18 lectures. All lectures consist of a theoretical presentation followed by homework problems [pdf]. Most lectures are also followed by Julia coding assignments. 00. Introduction slides [tex, pdf] 01. Essentials of linear algebra slides [tex, pdf] 02. Essentials of the Julia language slides [tex, pdf] 03. Floating-point arithmetic and error analysis slides [tex, pdf], notebook [ipynb, pdf] 04. Direct methods for dense linear systems slides [tex, pdf], notebook [ipynb, pdf] 05. Sparse data structures and basic linear algebra subprograms slides [tex, pdf], notebook [ipynb, pdf] 06. Introduction to direct methods for sparse linear systems slides [tex, pdf] 07. Orthogonalization and least-squares problems slides [tex, pdf], notebook [ipynb, pdf] 08. Basic iterative methods for linear systems slides [tex, pdf], notebook [ipynb, ... Read full article.