STEM / applied
Numerical analysis · Undergraduate · Math
Topics
Differential equations and software
- Euler's method and improved Euler for IVPs
- Runge–Kutta methods (RK4) for ODE systems
- Implementation in MATLAB, Python, or similar environments
- Adaptive step-size control (conceptual overview)
- Applications to physical models from science and engineering
Practical computation
- Least squares fitting and normal equations
- QR factorization overview and least-squares solvers
- Eigenvalue computation: power method and inverse iteration
- Error propagation in engineering calculations
- Validation and verification of numerical results
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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.