Write a MATLAB function g = func(x,y,z), that takes asinput the values of x, y, and z returns the value of the1-eryfunction g(x,y, z) =In|32|+cos(x)Test the function for x =[3 2], y = [0 1], z = [-1 4]. Then%3DError using *O Inner matrix dimensions must agreeAns = -8.2064-2.5717O Ans = 0 -3.0884

The correct answer along with a screenshot of the proof in the Matlab compiler is given below

Answered: Write a MATLAB function g =…

Computer Networking: A Top-Down Approach (7th Edition)

7th Edition

ISBN:9780133594140

Author:James Kurose, Keith Ross

Publisher:James Kurose, Keith Ross

Chapter1: Computer Networks And The Internet

Section: Chapter Questions

Problem R1RQ: What is the difference between a host and an end system? List several different types of end...

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Modify the Chebyshev center coding with julia in a simple style using vectors, matrices and for loops # Given matrix A and vector bA = [2 -1 2; -1 2 4; 1 2 -2; -1 0 0; 0 -1 0; 0 0 -1]b = [2; 16; 8; 0; 0; 0] A small sample:Let t_(l),t_(o),t_(m),t_(n),t_(t),t_(s) be starttimes of the associated tasks.Now use the graph to write thedependency constraints:Tasks o,m, and n can't start until task I is finished, and task Itakes 3 days to finish. So the constraints are:t_(l)+3<=t_(o),t_(l)+3<=t_(m),t_(l)+3<=t_(n)Task t can't start until tasks m and n are finished. Therefore:t_(m)+1<=t_(t),t_(n)+2<=t_(t),Task s can't start until tasks o and t are finished. Therefore:t_(o)+3<=t_(s),t_(t)+3<=t_(s)
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Problem 4. Consider the function Ik = g(k) = sin (). el-k/20). Construct the vector g = (go, ..., 9T) for T = 30 on MATLAB. Visualise the values of gr's using a stem plot.
Q3/ Give A B and AB for the following set ( 0 ° 0 0 0 1 1 1 0 1 1 1 0 1 1 1 O ° 0 0 O O 0 0 Input matrix Structuring element
Recall that the dot product of two vectors (1d matrices) produces a scalar value. The dot product is slightly confusing as the scalar value produced can have an arbitrary meaning that simply represents the mathematical operations of multiplying and summing. In other words, the dot product can simply represent the linear projection of vector onto the number line. This interpretation will be used repeatedly throughout machine learning as our main goal will be to take some features dotted with some weights/parameters. Once again, this can be though of as projecting our features onto a number line where the projection acts as our prediction! Keep this idea in mind as it might not make complete sense as of yet. It also important to know that the dot product can additionally take on other meanings such as a geometric meaning which represents how similar any two vectors are when projected onto one another. Meaning, how much one vector points in the direction of another. Given the following…

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