You are given the following data: t - [0 .1 .499 y - [o .06 .17 1.0 1.4 1.5 1.899 1.9 2.0 ] .31 .31 ] .5 .6 .19 .21 .26 .29 .29 .30 (a) Plot the data, using "*" at the data points, then try a polynomial fit of the correct degree to interpolate this number of data points: What do you observe. Give an explanation of this error, in particular why is the term badly conditioned used? (b) Plot the data along with a spline interpolant. How does this compare with the plot above? What is a way to make the plot better?
You are given the following data: t - [0 .1 .499 y - [o .06 .17 1.0 1.4 1.5 1.899 1.9 2.0 ] .31 .31 ] .5 .6 .19 .21 .26 .29 .29 .30 (a) Plot the data, using "*" at the data points, then try a polynomial fit of the correct degree to interpolate this number of data points: What do you observe. Give an explanation of this error, in particular why is the term badly conditioned used? (b) Plot the data along with a spline interpolant. How does this compare with the plot above? What is a way to make the plot better?
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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For MATLAB:
![You are given the following data:
|t [ o .1 .499
y = [o .06 .17
1.4 1.5 1.899 1.9 2.0 ]
.31 .31 ]
.5
.6
1.0
.19 .21 . 26
.29 .29 .30
(a) Plot the data, using "*" at the data points, then try a polynomial fit of the correct degree to
interpolate this number of data points: What do you observe. Give an explanation of this error,
in particular why is the term badly conditioned used?
(b) Plot the data along with a spline interpolant. How does this compare with the plot above? What
is a way to make the plot better?](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F79acf1af-8bcb-46f3-9f60-e87211776265%2Fe596ee34-6dc0-4a7b-89bd-f82fc2c4baf0%2Fpp1ltfp_processed.png&w=3840&q=75)
Transcribed Image Text:You are given the following data:
|t [ o .1 .499
y = [o .06 .17
1.4 1.5 1.899 1.9 2.0 ]
.31 .31 ]
.5
.6
1.0
.19 .21 . 26
.29 .29 .30
(a) Plot the data, using "*" at the data points, then try a polynomial fit of the correct degree to
interpolate this number of data points: What do you observe. Give an explanation of this error,
in particular why is the term badly conditioned used?
(b) Plot the data along with a spline interpolant. How does this compare with the plot above? What
is a way to make the plot better?
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