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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.
Types: Each and every expression, or variable, has a type related with it. The MATLAB supports numerous types of values that are known as classes. A class is necessarily a com
The Colon Operator: If the values in the vector are regularly spaced, the colon operator is used to iterate through these values. For illustration, 1:5 results in all the inte
There are many approaches to numerically estimating the derivative of the function. The relationship: is called a forward difference, since the estimate of the derivativ
how to find matrix inverse using matlab command
Barrier Option pricing in Matlab using MC simulation or finite difference methods
plase help me to convert a theory part of ammonia-vapour simple absorption system into matlab programmong
how do I make a second main function?
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
Solution by using pdepe function functionpdex1 m = 0; x = linspace(0,1,100); t = linspace(0,0.2,10); sol = pdepe(m,@pdex1pde,@pdex1ic,@pdex1bc,x,t); % Ext
Do you have expert who can solve chemical engineering thermodynamics chemical equilibrium MATLAB coding?
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