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How MATLAB makes the distinction between P-Cores and E-Cores?

  It is known that modern CPUs have both Performance cores (P-cores) and efficiency cores (E-cores), different types of CPU cores that have different purposes and are designed for different tasks. P-cores typically have higher clock speeds and designed for high-performance tasks, while E-cores operate at lower clock speeds and focus on energy-efficient processing. In MATLAB, maxNumCompThreads returns the current maximum number of computational threads. Currently, the maximum number of computational threads is equal to the number of physical cores on your machine. How MATLAB makes the distinction between P-Cores and E-Cores ? NOTE:- Matlabsolutions.com  provide latest  MatLab Homework Help, MatLab Assignment Help  ,  Finance Assignment Help  for students, engineers and researchers in Multiple Branches like ECE, EEE, CSE, Mechanical, Civil with 100% output.Matlab Code for B.E, B.Tech,M.E,M.Tech, Ph.D. Scholars with 100% privacy guaranteed. Get MATLAB projects...
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How to explain an ANN graph?

  Hello, I'm trying to interpret an ANN graph for a paper, but I'm not sure where to start. Should I explain the detailed computations for each data point, or is there a general approach I can use to highlight the overall differences between the two groups? How do I know if it's considered a good result? Here's a sample figure y=root mean square error, x=number of neurons y=displacement, x=time points NOTE:- Matlabsolutions.com  provide latest  MatLab Homework Help, MatLab Assignment Help  ,  Finance Assignment Help  for students, engineers and researchers in Multiple Branches like ECE, EEE, CSE, Mechanical, Civil with 100% output.Matlab Code for B.E, B.Tech,M.E,M.Tech, Ph.D. Scholars with 100% privacy guaranteed. Get MATLAB projects with source code for your learning and research. Hi Anne,   You asked some good questions.   Based on your first question, it seems like you are analyzing the performance of a neural network model by comparing the roo...

Matlab mldivide returns NaN when there are multiple solutions

  I have two matrices:   A = [ -1 0 0; 1 1 -1; 0 -1 1 ]; B = [-1; 0; 1]; and I want to solve the following equation: Ax=B when I use  mldivide  function I get a matrix of NaNs   X = mldivide(A,B) X = NaN NaN NaN Knowing there are multiple solutions to this problem I manually tested if one of them, namely  [1;0;1]  returns  B :   A*[1; 0; 1] and, as expected, I reassured myself that it is one of multiple solutions. So here is my question: why does  mldivide  return incorret solution? NOTE:- Matlabsolutions.com  provide latest  MatLab Homework Help, MatLab Assignment Help  ,  Finance Assignment Help  for students, engineers and researchers in Multiple Branches like ECE, EEE, CSE, Mechanical, Civil with 100% output.Matlab Code for B.E, B.Tech,M.E,M.Tech, Ph.D. Scholars with 100% privacy guaranteed. Get MATLAB projects with source code for your learning and research. Your matrix A is sin...

MATLAB: Corr Function not working for Spearman

  The Code   Rm = corr(timeModel, 'Type', 'Spearman'); Rm %First row of Rm contains the correlation coefficients between the values of avgExcTime and the expected execution times for all the possible values of KEY3:0 Rc = Rm(1,2:17); %The entry of Rc with the highest positive value corresponds to the guessed %key (the first entry of Rc is 1 and corresponds to the autocorrelation of %avgExcTime, therefore is discarded) [corr,idx] = max(Rc); guessedKeyNibble = idx-1``` The error The Code Rm = corr(timeModel, 'Type' , 'Spearman' ); Rm %First row of Rm contains the correlation coefficients between the values of avgExcTime and the expected execution times for all the possible values of KEY3:0 Rc = Rm( 1 , 2 : 17 ); %The entry of Rc with the highest positive value corresponds to the guessed %key (the first entry of Rc is 1 and corresponds to the autocorrelation of %avgExcTime, therefore is discarded) [corr,idx] = max (Rc); guessedKeyNibble = idx -1 ``` ...

How do I access a MATLAB UI function in another .m file?

  I am attempting to declutter my MATLAB app code by separating some of the initialization into separate .m files. For this I have set up various files for each type of component (e.g. a file for buttons, graph, etc.). I am attempting to access a function in my master initialize file from the file for buttons. My code goes as follows in the buttons .m file goes as follow:   classdef buttons < handle methods %initializes the UI function buttonCreate(app) %Create file load 1 app.fileload1 = uibutton(app.gridLayout, 'push'); app.fileload1.FontSize = 36; app.fileload1.Layout.Row = [8 9]; app.fileload1.Layout.Column = 1; app.fileload1.Text = 'Load 1'; %proceeds to create the rest of the buttons end end end Now I attempt to access the  buttonCreate()  function in my master initialize file  initialize.m :   classdef initialize < ha...

Detect Keyboard Input Matlab

  I have a simple question, although it's harder than it seems; I couldn't find the answer on the interwebs :O I'm writing a script in Matlab. What I want to do is the following: When I press the esc key, I want a helpdialogue to pop up, so my script pauses. (So when I press esc, I want to stop the whole script to run so that the car (which im writing the script for) stops driving) How do I do this? How can I say to Matlab: When I press esc, do this... Thanks for your time guys! EDIT: It's no option to implement something which awaits the keypress. Im writing a script for a driving car. It just has to drive around basically, but when I press esc for example, it should stop driving. So the script just has to run, untill I press the esc key; then the script has to pause. NOTE:- Matlabsolutions.com  provide latest  MatLab Homework Help, MatLab Assignment Help  ,  Finance Assignment Help  for students, engineers and researchers in Multiple Branches like ECE, EE...

How can I make the mean of 3d matrices in a cell in Matlab?

  I have a 1x12 cell in Matlab and each element of this cell has a 3d matrix. I want to make the mean of these 3d matrices, so that I obtain a 3d matrix that has the same dimensions of each one of the 3d matrices of the cell and that is the mean of the 12 3d matrices. How can I do this operation ? I tried to extract each cell and create a 4d matrix so that I could do  mean(fourdmatrix,4)  . However, it seems not possible to create a 4d matrix. Ideed, a code like this:   cell={threedmatrixA, threedmatrixB, ...} fourdmatrix=[]; for i=1:12 fourdmatrix(i)=cell{i}; end does not work. How can I do it ?     NOTE:- Matlabsolutions.com  provide latest  MatLab Homework Help, MatLab Assignment Help  ,  Finance Assignment Help  for students, engineers and researchers in Multiple Branches like ECE, EEE, CSE, Mechanical, Civil with 100% output.Matlab Code for B.E, B.Tech,M.E,M.Tech, Ph.D. Scholars with 100% privacy guaranteed. Get MATLAB projec...