Inmatlab.graphics.function.FunctionLine Infplot>singleFplot (line 232) Infplot>@(f)singleFplot(cax,{f},limits,extraOpts,args) (line 191) Infplot>vectorizeFplot (line 191) Infplot (line 161) % Gam,yhat,x,h are known to us. But it is a little...
Open in MATLAB Online Ran in: Consider that the assignments and individual tests are vectorized. If the question is whether you can perform all three tests with a single comparison against a vector of thresholds, the answer is "maybe, but why?". In order to do that, you'd have to wri...
MATLAB Online에서 열기 Im trying to write a clustering optimization code. In the code i use a f-mesure to evaluate part of the clustering. I'm trying to vectorize the function, but so far no luck. Maybe Im missing something. 테마복사 function f=fscore(cluster_vec,truth...
The drawing of the plots takes much much longer than the creation of the transfer functions -- to the point where it is hardly even worth bothering to vectorize the creation of the transfer functions considering the loss in clarity about what is being plotted. ...
I would lower your number of iterations on everything. See if that gives good results. Then start cranking up the number of iterations, and resolution. If it is not fine enough, then run it through the profiler to see where the bottlenecks are. My guess is that doing the above will get...
Open in MATLAB Online The last statement you show is vectorized, so the question is ill-posed. I think what you are asking for is a way to speed up the process. Also, just how fast do you think it should be?? ThemeCopy x = zeros(1000,1); x(76) = 1; x(100) = 1; x(200...
I assume you are trying to vectorize this for speed purposes. In your current code, the x(:,:,k) expression copies data, and the y(k,:)=temp(:)' assignment copies data. Plus, the loop itself carries some overhead. This can be eliminated with a mex routine that calls the BLAS ...
The code worked, but it somehow looks messy (?). And it had some errors within the third last line. Now that I have all the solutions for c*, the steady state interest is calculated as pi* / beta. The next step is to look at the stability of all these 50 solutions by eva...
Manual pages can be displayed using the ?function_name notation in the R console. library(ggplot2) library(gridExtra) capitalize_all <- Vectorize(function(x) { s <- abbreviate(x) paste(toupper(substring(s, 1,1)), substring(s, 2), sep="", collapse=" ") }) ggplot(mpg, aes(...
We've got exactly that situation here: in the real world it's a lot more practical to vectorize the operations to apply simultaneously to a screen-worth of data at a time -- then we'd have nice options like offloading stuff to a GPU, etc. However, since the point here is to ...