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Jupyter notebooks with answers to end of chapter review questions for the textbook Scientific Computing by Michael Heath (2018).
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Jupyter notebooks with answers to the the end of chapter review questions for the textbook Scientific Computing by Michael Heath (Heath, 2018).
I compiled these notebooks while taking CS 450 Numerical Analysis at UIUC and they come without any guarantee of accuracy or endorsement by the textbook author.
I started a similar repository containing the algorithm pseudocode from the textbook implemented in numpy and scipy at marcoemorais/numerics-python.
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@book{heath2018scientific,
title={Scientific computing: an introductory survey},
author={Heath, Michael T},
volume={80},
year={2018},
publisher={SIAM}
}
Review-01-Scientific-Computing
Review-02-Systems-of-Linear-Equations
Review-03-Linear-Least-Squares
Review-08-Numerical-Integration-and-Differentiation
Review-09-Initial-Value-Problems-for-ODE
Review-10-Boundary-Value-Problems-for-ODE
Review-11-Partial-Differential-Equations
Review-12-Fast-Fourier-Transform
Review-13-Random-Numbers-and-Stochastic-Simulation