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While loop for sums?
sum=0; k=0; while(sum<=5*10^6) if(mod(k,2)) sum=sum+k^2; end k=k+1; end Next time please try...
While loop for sums?
sum=0; k=0; while(sum<=5*10^6) if(mod(k,2)) sum=sum+k^2; end k=k+1; end Next time please try...
約9年 前 | 0
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How to represent each entry of a matrix by its own box with matlab
I found a script online which does exactly what I want <https://de.mathworks.com/matlabcentral/fileexchange/46010-grid-plot> ...
How to represent each entry of a matrix by its own box with matlab
I found a script online which does exactly what I want <https://de.mathworks.com/matlabcentral/fileexchange/46010-grid-plot> ...
約9年 前 | 0
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How to represent each entry of a matrix by its own box with matlab
Hey everybody I want to know if is possible to make a pcolor plot where the color values isn't stored on the edges of the boxes...
約9年 前 | 2 件の回答 | 0
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Generate a vector X of 100 independent samples from Gaussian distribution
You could also use the <http://de.mathworks.com/help/stats/random.html random> comand X = random('norm',5,3,100,1);
Generate a vector X of 100 independent samples from Gaussian distribution
You could also use the <http://de.mathworks.com/help/stats/random.html random> comand X = random('norm',5,3,100,1);
9年以上 前 | 0
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for and if statements
small = 0; big = 0; mid = 0; test = random('Normal',1,100,1,10); for k = 1:length(test) if ( test(k) < 25 )...
for and if statements
small = 0; big = 0; mid = 0; test = random('Normal',1,100,1,10); for k = 1:length(test) if ( test(k) < 25 )...
9年以上 前 | 0
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I have 2 time series data, one is real data another is my plant model output, how can I calculate percentage of fitness?
You could use the <http://de.mathworks.com/help/ident/ref/compare.html?searchHighlight=compare compare> comand. For exam...
I have 2 time series data, one is real data another is my plant model output, how can I calculate percentage of fitness?
You could use the <http://de.mathworks.com/help/ident/ref/compare.html?searchHighlight=compare compare> comand. For exam...
9年以上 前 | 1
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Random number time series
ln = 100; % length of timeseries Ts = 1; % timestep for k = 1:ln tmp_mean = 2+2*(k-1)/(ln-1); % your linear...
Random number time series
ln = 100; % length of timeseries Ts = 1; % timestep for k = 1:ln tmp_mean = 2+2*(k-1)/(ln-1); % your linear...
9年以上 前 | 0
| 採用済み
質問
compare vs forecast with models
I'm using ARMA-models to predict a signal. My signal is a timeseries with _n_ points; input = iddata(signal,[],Ts); My m...
9年以上 前 | 1 件の回答 | 0
