Sparse matrices in direct methods (2021/2022)




The goal of this course is to discuss sparse matrices in the numerical linear algebra tasks like
  • Solving systems of linear algebraic equations by direct methods (variants of elimination)
  • Solving systems of linear algebraic equations by preconditioned iterative methods (discussing preconditioner constructions)


    Exercises are prepared in order to demonstrate discussed algebraic approaches. They are based on Matlab. But, even inside Matlab, data structures that are considered are often such that production codes are based on.

    Parallel matrix computations (2021/2022)




    To be described here (for summer semester)

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