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Problem 1. Create a vector representing x coordinates of a measurement with 20 points between 0 and 10. Create another vector y representing fake measurements which are related to the above x values as y = 2.3 x - 1.2. Next add random (normal, Gaussian) noise to the vector y. Plot on the same graph both versions of vector y in different colors. Next use attached linregr.m function to find a least square fit (linear regression) for your fake experimental data.
Problem 2. Create a three dimensional diagram of function z = (x-2)2 + (y-3)3.
Capture the matlab code in a text file.
#question how to solve radicals exponents..
The Plot Function: We will begin with a very simple graph of one point using the plot function. The script, plotonepoint, below plots only one point. To do this, at first the
How to make EMG analysis by Matlab?
how to wriet program for batch reactor
Background Protein therapeutics are a major component of the biotechnology industry, with sales estimated in the range of ~$99bn annually (2011) and steady market growth. Many phar
Hi I''m wondering if someone can help me with Matlab coursework
Type logical: The type logical is used to store the true/false values. If any variables have been formed in the Command Window, they can be seen at the Workspace Window. In
How can I separate a row vector into groups.
Compare results/performance with tridiagonal Gaussian elimination solver for the problem arising from -y''=f on (0,1) with y(0)=0=y(1). You may also need to use sparse storage an
Write a pseudo-code showing the list of steps to take for solving the given problem. In this process, you should identify the functions that are to be used in the program. Develop
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