Numerical Calculus assignments
– projects
Today I’m making my Numerical Calculus (CAL604) assignments publicly available. They were created as Jupyter notebooks between late January and early February this year, and exported as HTML to publish them here.
I worked in the three assignments with the support of Iván Sánchez, to whom I’m very grateful of course. The notebooks are in the following links:
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Numerical solution of ordinary differential equations – 06 Feb 2020
Numerical Calculus exercises that involve approximating the solution of ordinary differential equations using the Euler method and the Runge-Kutta method. Made as a Jupyter notebook and exported to HTML.
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Numerical integration – 01 Feb 2020
Numerical Calculus exercises that involve solving integrals using numerical algorithms like the trapezoidal rule and Simpson’s rule. Made as a Jupyter notebook and exported to HTML.
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Numerical solution of equations – 26 Jan 2020
Numerical Calculus exercises that involve finding roots of equations using numerical algorithms like the Newton-Raphson method and the bisection method. Made as a Jupyter notebook and exported to HTML.