CE3102: Numerical Analysis for Engineering
Computer Engineering
Semester II - 2019
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Implement a function for the iterative relaxation method in Octave or Python to solve a system of linear equations of the form
$Ax = b$ . The name of this function should berelajacion
. Indicate which are the initial parameters and which are the output parameters. -
Implement a function for the natural cubic spline interpolation method in Octave or Python, considering the ordered pairs
$(x_0, y_0), (x_1, y_1), ..., (x_n, y_n)$ . The name of this function should betrazador_cubico
. Note: The implementation of this method requires solving a system of linear equations. For this, use the iterative relaxation method. Indicate which are the initial parameters and which are the output parameters. -
Consider the following table, which represents ordered pairs of the form
$(x_n, y_n)$ :n (x_n) (y_n) 0 -5 0 1 -4.5 0.0707 2 -4 0 3 -3.5 -0.0909 4 -3 0 5 -2.5 0.1273 6 -2 0 7 -1.5 -0.2122 8 -1 0 9 -0.5 0.6366 10 0 1.0000 11 0.5 0.6366 12 1 0 13 1.5 -0.2122 14 2 0 15 2.5 0.1273 16 3 0 17 3.5 -0.0909 18 4 0 19 4.5 0.0707 20 5 0
Implement a script that plots the natural cubic spline passing through the above points. The name of the file should be pregunta1
.