Answered
How to view a 3D Figure from "below", e.g. z-axis facing downwards
Set the CameraUpVector axis property. figure plot3(0,0,0) line([0 0.1],[0 0],[0 0],'LineWidth',5,'DisplayName','X') line([0 ...
How to view a 3D Figure from "below", e.g. z-axis facing downwards
Set the CameraUpVector axis property. figure plot3(0,0,0) line([0 0.1],[0 0],[0 0],'LineWidth',5,'DisplayName','X') line([0 ...
19 days ago | 1
| accepted
Answered
Convert Set of (x,y) Coordinates Into Polygon
This uses tspsearch from the File Exchange, https://www.mathworks.com/matlabcentral/fileexchange/71226-tspsearch load coordina...
Convert Set of (x,y) Coordinates Into Polygon
This uses tspsearch from the File Exchange, https://www.mathworks.com/matlabcentral/fileexchange/71226-tspsearch load coordina...
20 days ago | 0
| accepted
Answered
Using drawpoint in 3d axes
Another approach is to make a custom app, with controls for the position of the electron. ...
Using drawpoint in 3d axes
Another approach is to make a custom app, with controls for the position of the electron. ...
24 days ago | 0
Answered
Using drawpoint in 3d axes
You cannot place a 3D point using a drawing object that has only 2 degrees of freedom. Probably the better approach is to use th...
Using drawpoint in 3d axes
You cannot place a 3D point using a drawing object that has only 2 degrees of freedom. Probably the better approach is to use th...
25 days ago | 0
| accepted
Answered
How do I set up fmincon correctly for parallel computation? "Supplied objective function must return a scalar value"
I want to parallelize the computation, either by calculating several gradients at the same time, or solve the problem for severa...
How do I set up fmincon correctly for parallel computation? "Supplied objective function must return a scalar value"
I want to parallelize the computation, either by calculating several gradients at the same time, or solve the problem for severa...
27 days ago | 0
| accepted
Answered
Multiobjective optimization with polygon boundary
Use vert2lcon to find the inequalities for the constrained region, https://www.mathworks.com/matlabcentral/fileexchange/30892-a...
Multiobjective optimization with polygon boundary
Use vert2lcon to find the inequalities for the constrained region, https://www.mathworks.com/matlabcentral/fileexchange/30892-a...
27 days ago | 1
Answered
Custom loss function (based on error multiplication rather than sum) in classification neural network
Using trainnet you can provide any loss function you wish. However, a multiplicative loss function sounds like a doubtful idea. ...
Custom loss function (based on error multiplication rather than sum) in classification neural network
Using trainnet you can provide any loss function you wish. However, a multiplicative loss function sounds like a doubtful idea. ...
28 days ago | 0
| accepted
Answered
Vectorizing 2D DFT for only select region of the output
Ex=subDFTmatrix(kx_vals,Nx); Ey=subDFTmatrix(ky_vals,Ny); F_partial = Ey*image*Ex.'; function E=subDFTmatrix(k,N) E...
Vectorizing 2D DFT for only select region of the output
Ex=subDFTmatrix(kx_vals,Nx); Ey=subDFTmatrix(ky_vals,Ny); F_partial = Ey*image*Ex.'; function E=subDFTmatrix(k,N) E...
29 days ago | 0
| accepted
Submitted
N-dimensional sparse arrays
Creates an N-dimensional sparse array object, for arbitrary N.
1 month ago | 19 downloads |
Answered
Where I make a mistake with fminimax?
Some ideas, The choice of initial guess p0=[1,1,1,1,1] looks arbitrary. I don't see why that would be a good guess. You should...
Where I make a mistake with fminimax?
Some ideas, The choice of initial guess p0=[1,1,1,1,1] looks arbitrary. I don't see why that would be a good guess. You should...
1 month ago | 1
| accepted
Answered
How to get a dlgradient result for a blackbox function
radon() can be expressed as a matrix multiplication, and matrix multiplications are of course supported by dlarrays. One option ...
How to get a dlgradient result for a blackbox function
radon() can be expressed as a matrix multiplication, and matrix multiplications are of course supported by dlarrays. One option ...
1 month ago | 1
| accepted
Answered
Does gather() clear memory
It seems to for me: >> A=gpuArray.rand(300,300,300); >> gpuDevice().AvailableMemory ans = 3.1956e+09 >> A=gather...
Does gather() clear memory
It seems to for me: >> A=gpuArray.rand(300,300,300); >> gpuDevice().AvailableMemory ans = 3.1956e+09 >> A=gather...
1 month ago | 0
Answered
How to use validation dataset in iteration-based deep network training?
Sure, use the network to make some predictions, https://www.mathworks.com/help/deeplearning/ref/dlnetwork.predict.html
How to use validation dataset in iteration-based deep network training?
Sure, use the network to make some predictions, https://www.mathworks.com/help/deeplearning/ref/dlnetwork.predict.html
1 month ago | 0
Answered
What are the differences between fitrnet and trainnet?
Unlike fitnrnet, the L-BFGS algorithm used by trainnet does not seem to use a line search. That might have had something to do w...
What are the differences between fitrnet and trainnet?
Unlike fitnrnet, the L-BFGS algorithm used by trainnet does not seem to use a line search. That might have had something to do w...
1 month ago | 0
Answered
A simple question regarding image processing
I see that some pixels are darker than others, but no pixels that are jet black. If you have some criterion to decide which pixe...
A simple question regarding image processing
I see that some pixels are darker than others, but no pixels that are jet black. If you have some criterion to decide which pixe...
1 month ago | 0
| accepted
Answered
define an objective function with user defined number of variables in fminunc()
The only way fminunc knows the number of variables is by looking at numel(x0) where x0 is the initial guess: xmin = fminunc(fun...
define an objective function with user defined number of variables in fminunc()
The only way fminunc knows the number of variables is by looking at numel(x0) where x0 is the initial guess: xmin = fminunc(fun...
1 month ago | 2
| accepted
Answered
Deconvolution of two different Gaussians
If you know a priori that all the signals are Gaussians, then deconvolution would not be the best way to recover espread. You kn...
Deconvolution of two different Gaussians
If you know a priori that all the signals are Gaussians, then deconvolution would not be the best way to recover espread. You kn...
1 month ago | 0
| accepted
Answered
Displaying a struct containing gpuArray fields takes an extremely long time in R2024b
Here's a possible workaround: c.a=1; c.b=2; c.data=gpuArray.rand(100,100,100,'double'); tic; c, toc c = struct with...
Displaying a struct containing gpuArray fields takes an extremely long time in R2024b
Here's a possible workaround: c.a=1; c.b=2; c.data=gpuArray.rand(100,100,100,'double'); tic; c, toc c = struct with...
1 month ago | 0
Answered
Finding a circle in a 2D array
load P BW=median(P(:))-P>50; BW=bwpropfilt(bwareaopen(BW,100),'Eccentricity',6,'small'); c=vertcat(regionprops(BW,'Cent...
Finding a circle in a 2D array
load P BW=median(P(:))-P>50; BW=bwpropfilt(bwareaopen(BW,100),'Eccentricity',6,'small'); c=vertcat(regionprops(BW,'Cent...
1 month ago | 1
| accepted
Answered
imerode/imdilate use convolution?
No, imdilate is a sliding window max() operation, which is nonlinear, and therefore not, in general, a convolution. Similarly im...
imerode/imdilate use convolution?
No, imdilate is a sliding window max() operation, which is nonlinear, and therefore not, in general, a convolution. Similarly im...
1 month ago | 0
| accepted
Answered
Take 3x3 nearest neighbours round centroids of all spots and find the median of their mean
sz=size(IM); centroidIdx=sub2ind(sz,y1,x1); T=combinations(1:3,1:3); delta=sub2ind(sz,T{:,2},T{:,1})'-(sz(1)+2); resu...
Take 3x3 nearest neighbours round centroids of all spots and find the median of their mean
sz=size(IM); centroidIdx=sub2ind(sz,y1,x1); T=combinations(1:3,1:3); delta=sub2ind(sz,T{:,2},T{:,1})'-(sz(1)+2); resu...
1 month ago | 0
| accepted
Answered
Take 3x3 nearest neighbours round centroids of all spots and find the median of their mean
movingMean=conv2(IM,ones(3)/9,'same'); centroidIdx=sub2ind(size(IM),y1,x1); result=median(movingMean(centroidIdx))
Take 3x3 nearest neighbours round centroids of all spots and find the median of their mean
movingMean=conv2(IM,ones(3)/9,'same'); centroidIdx=sub2ind(size(IM),y1,x1); result=median(movingMean(centroidIdx))
1 month ago | 0
Question
Displaying a struct containing gpuArray fields takes an extremely long time in R2024b
I find that when I create a struct (or object) whose fields are large gpuArrays, it takes an extremely long time (1-2 minutes) t...
1 month ago | 2 answers | 0
2
answersSubmitted
gaussfitn
Fit N-dimensional scattered points with Gaussian+constant
1 month ago | 15 downloads |
Answered
MINLP problem in MATLAB with both integer constraints and nonlinear equality constraints
If, as @Torsten mentioned, you are in the situation where the equality constraints only depend on the continuous variables, then...
MINLP problem in MATLAB with both integer constraints and nonlinear equality constraints
If, as @Torsten mentioned, you are in the situation where the equality constraints only depend on the continuous variables, then...
1 month ago | 0
Answered
how to use fmincon to optimize a functio with more than one control vector where the control vectors used in constrains also?
Use the problem-based optimization framework to launch fmincon. It will look approximately like, p=optimvar('p',pi,pj); X=opti...
how to use fmincon to optimize a functio with more than one control vector where the control vectors used in constrains also?
Use the problem-based optimization framework to launch fmincon. It will look approximately like, p=optimvar('p',pi,pj); X=opti...
1 month ago | 0
| accepted
Answered
Fit a linear equation to obtain coefficients (constants)
I have a linear equation P = a + bM + c(Y-1) + d(M(Y-1)) where a, b, c and d are coefficients (constants). P, Y and M are known...
Fit a linear equation to obtain coefficients (constants)
I have a linear equation P = a + bM + c(Y-1) + d(M(Y-1)) where a, b, c and d are coefficients (constants). P, Y and M are known...
1 month ago | 1
Answered
MINLP problem in MATLAB with both integer constraints and nonlinear equality constraints
Such problems usually do not have solutions (EDIT: unless the equalities depend only on the continuous variables), since a nonli...
MINLP problem in MATLAB with both integer constraints and nonlinear equality constraints
Such problems usually do not have solutions (EDIT: unless the equalities depend only on the continuous variables), since a nonli...
1 month ago | 1
| accepted
Answered
parallel computing apply to my problem
Skipping the symbolic operations will speed things up, tic; t=linspace(0,0.1,1000)'; tsquared=t.^2; [a...
parallel computing apply to my problem
Skipping the symbolic operations will speed things up, tic; t=linspace(0,0.1,1000)'; tsquared=t.^2; [a...
1 month ago | 0