Database System Concepts
Database System Concepts
7th Edition
ISBN: 9780078022159
Author: Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher: McGraw-Hill Education
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1. I
Complete the Python function MySpline that reads in a set of x and y values (each
as arrays or lists), and outputs a piecewise-cubic function with natural boundary conditions. The
function prototype is
cs MySpline (x, y)
The returned function can be called using cs (2.4) or cs ([2.4, 3.7]), for example. You will
have to find the parameter values for the as, bs, and cs so that the cubic spline can be evaluated
using
Pi(x)= ai-11
+ ai
+ bk (x₁+1-x)+ ci(x − x₁),
6h₁
where hi=i+1; and i = 1,2,..., n - 1. Note that all Python indexing starts at 0, so all the
indices can be decremented by 1. However, some care is needed to handle ao,..., an-1. See the
documentation for MySpline for some guidance on this issue.
(x+1-x)³
6h₁
The function MySpline is already set up to return a cubic spline function. But it's not a very
interesting one, and it does not pass through the points (x, y).
The notebook has a small sample set of points to interpolate. Feel free to choose your own set of
points. Create a figure that plots the interpolation points overtop of the smooth cubic spline.
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Transcribed Image Text:1. I Complete the Python function MySpline that reads in a set of x and y values (each as arrays or lists), and outputs a piecewise-cubic function with natural boundary conditions. The function prototype is cs MySpline (x, y) The returned function can be called using cs (2.4) or cs ([2.4, 3.7]), for example. You will have to find the parameter values for the as, bs, and cs so that the cubic spline can be evaluated using Pi(x)= ai-11 + ai + bk (x₁+1-x)+ ci(x − x₁), 6h₁ where hi=i+1; and i = 1,2,..., n - 1. Note that all Python indexing starts at 0, so all the indices can be decremented by 1. However, some care is needed to handle ao,..., an-1. See the documentation for MySpline for some guidance on this issue. (x+1-x)³ 6h₁ The function MySpline is already set up to return a cubic spline function. But it's not a very interesting one, and it does not pass through the points (x, y). The notebook has a small sample set of points to interpolate. Feel free to choose your own set of points. Create a figure that plots the interpolation points overtop of the smooth cubic spline.
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