STEM / applied
Numerical linear algebra · Graduate · Math
Topics
Large-scale and applied problems
- Sparse matrix formats and memory-aware implementations
- Parallel and distributed linear algebra (overview)
- Least squares and ridge regression at scale
- Randomized numerical linear algebra (sketching, introduction)
- Applications in data science, imaging, and PDE discretizations
Software and practice
- LAPACK/BLAS ecosystem and best practices
- Conditioning diagnostics in engineering workflows
- Mixed-precision algorithms (introduction)
- Benchmarking and reproducibility in HPC environments
- Case studies from structural analysis and machine learning
Pricing calculator
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$1,162 · Numerical linear algebra · 18 tutoring hrs
Study guides, worksheets, reviews, practice tests, and answer keys for 1 class. 18 tutoring hours (1 hr / week · semester). Bundle discount applied vs buying separately. Pay in full via Zelle or Venmo.