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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.
I want the code for rank order clustering
have any code
Hi, I need help with solving five-1st order ODE which are coupled. I need to plot these as well. Could I please get a quote. Thanks
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I need my data mining assignment done. Can you guys help me with that?
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