STEM / applied
Numerical analysis · Graduate · Math
Topics
High-performance and applied computation
- Implementation on modern architectures (vectorization, parallelism overview)
- Large-scale sparse linear solvers in practice
- Uncertainty quantification and Monte Carlo methods
- Inverse problems and regularization (Tikhonov)
- Validation against analytical and experimental benchmarks
Domain applications
- Computational fluid dynamics discretizations (introduction)
- Numerical optimization in engineering design loops
- Image processing and numerical linear algebra pipelines
- Time-stepping strategies for multiphysics simulation
- Software engineering for scientific computing projects
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$1,162 · Numerical analysis · 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.