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Define a function:
The radius of a circle is passed to the function to input argument rad; the function computes the area of this circle and stores it in the output argument area. In the function header, we have reserved word function, then an output argument area followed by an assignment operator =, then the name of the function (similar as the name of the M-file), and then the input argument rad, that is the radius. As there is an output argument in the function header, anywhere in the body of the function we should assign a value to this output argument. This is how the value is returned from a function. In this situation, the function is easy and all we have to do is assign to the output argument area the value of the built-in constant pi multiplied by the square of the input argument rad.
The function can be exhibited in the Command Window by using the type command.
>> type calcarea
function area = calcarea(rad)
% This computes the area of a circle
area = pi * rad * rad;
design a rc phase shift oscillator for a particular frequency of oscillation and generate a sinusoidal signal
You will write functions • B=null basis(A,tol); • B=range basis(A,tol); The function null basis takes a matrix A as input, and outputs a basis for the null space of A, obtained via
Creating Matrix Variables: Creating a matrix variable is actually just a generalization of creating a row and column vector variables. That is, the values within the row are s
Illustration of assignment statements: At that point, if the expression mynum 3 is entered, the default variable ans is used as the result of this expression is not assigned
Your Task: Write an M-function that computes simple returns as formula (1). Use this function to calculate the daily returns for each index. Using MATLAB build-in functions estimat
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How to generate the code?
Model the three degree of freedom system shown in Figure Q5 and solve for the displacements of the three masses due to a force of 10 N applied to the bottom mass at a frequency of
clear tic L=1; T=0.2; nust=2000; dt=T/nust; n=40; dx=L/n; r=1; omega=10:10:5000;%Store Range of Frequencies for Simulation u=zeros(n+1,nust+1);%
For a statistically stationary environment it would be advantageous to use gear shifting, that is to reduce the adaptation gain with time. To illustrate this, try using a varying a
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