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MATH2064 - Undergraduate Group Project comparing performance of Arnoldi, and QR algorithms.

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Group Project for class MATH2064 (Numerical Methods) on finding the most efficient method of computing eigenvalues values between QR and Arnoldi methods.

Packages Required:

  1. Linear Algebra - For Matrix Operations, and comparing results to eigenvalues obtained by in-built eigenvalue solvers.
  2. Distributions - For Randomness to initialize sparsity.
  3. BenchmarkTools - For Benchmarking Performance of Functions.
  4. PlotlyJS - For Contour Plots. (Nota Bene: Contour Plot's require additional dependencies to view in Jupyter notebooks; we therefore have provided the contour plots in a .jl file to avoid this issue, to be viewed in your preferred IDE).

Respository is intended to remain public only while the marking process is undergoing.

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MATH2064 - Undergraduate Group Project comparing performance of Arnoldi, and QR algorithms.

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