Numerics Library

A Python library of general-purpose numerical methods.

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Features

• Linear Systems

  • Gauss–Seidel method
  • Jacobi method
  • Successive Over-Relaxation (SOR)

• Nonlinear Equations

  • Newton–Raphson (single and multi-variable)
  • Bisection
  • Secant method
  • Dekker’s method

• EigenValues

  • Power method
  • QR method

• Moment of Inertia

  • Evaluate MOI of any STL body at an arbitrary point from COM.

• Function interpolation

  • DPI

All methods are implemented in pure Python/NumPy for clarity and easy modification.

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Author: Ziga Breznikar
Email: ziga.breznikar@student.um.si