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Showing posts from December, 2020

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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Use of modalfrf for operating measurements

  I need to calculate the FRF for a mechanical system where the exitation has its origin from a gearbox. I generated  simulation  data while the mechanical systems rotates under operating conditions. I generated data of velocity an acceleration. For my acoustical analysis I need the frequency response function. So I wanted to calculate them by using the function modalfrf. But I am not sure if I can use this function due to the fact that I do not have a hammer or shaker exitation. So is it possible to calculate the FRF with this function or do I need to use another function?  ANSWER Matlabsolutions.com  provide latest  MatLab Homework Help, MatLab 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. This is essentially a sy...
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Is 2020a Network-Named User license backwards compatible for older versions

  Currently I have the license server with a license file for 2019a installed on my server for network-named users. I would like to upgrade it to a newer 2020a license file. Will the network-named users that are currently using 2019a still be able to continue using their version or will they need to upgrade to 2020a as well? Basically, can I use older versions of   Matlab  with a newer license file on my license server? ANSWER Matlabsolutions.com  provide latest  MatLab Homework Help, MatLab 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. Yes, newer license servers are backwards compatible (provided that you do not need "Bug-for-bug" compatibility)
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How to number the peaks and troughs of signal ?

  Here is my signal where i need to number the peaks and troughs in numbers as 1,2,3,4... ANSWER Matlabsolutions.com  provide latest  MatLab Homework Help, MatLab 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. Try findpeaks() in the  Signal Processing  Toolbox. Invert the signal to find valleys.     numPoints = 50; x = sort(rand(1, numPoints)); y = rand(1, numPoints); plot(x, y, 'k-', 'LineWidth', 2); grid on; [peakValues, indexesOfPeaks] = findpeaks(y); hold on; peakx = x(indexesOfPeaks); peaky = y(indexesOfPeaks); plot(peakx, peaky, 'r*', 'LineWidth', 2, 'MarkerSize', 10); % Find valleys on inverted signal SEE FULL ANSWER CLICK LINK https://www.matlabsolutions.com/resources/how-to-number-the-peaks-and-tro...
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discrete time optimization with non-linear constraints

  Hello, I have an optimization problem to solve with non-linear constraints. It is a  control  theory based discrete time model (which i feel fules out using fmincon) over a time horizon say N seconds. I found a few old posts similar to this, but none I felt had clear answers. I am going nuts trying to find a way to implement it in matlab. Which  Matlab tool  would be best suited in this case? Thanks, italic EDIT: the system i s  continuous, but we analyse it in a discrete time domain. Thus, variables have discrete values. There are n_v entities and each of the entity has each parameter described below: variables: p,v,u; size(p)=size(v)=size(u)=(1,N) vectors Obj. fn: minimize sum(u(1,:)) ANSWER: Matlabsolutions.com  provide latest  MatLab Homework Help, MatLab 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. Schol...
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