r = rand(1,2.*n); %2n random numbers that will make up the vectors in P r = r/sum(r); %normalize the vector to 1 thesum = sum(r); %check that the vector sums to 1 for i = 1:2.*n P(i) = r./sum(r); %repeat random vect...
2.B = unique(A); repeat_ele = B(histc(A, B) > 1)) Split thoes repeated element from B with repeat number can be changed for different purpose. 3.find(A == repeat_ele(i)) Since number of repeat elememnts may be diffrent in diffrent circumstances, we choose a variable i for exa...
>> helpforforRepeat statements a specific numberoftimes. The general formofaforstatementis:forvariable = expr, statement, ..., statementENDThe columnsofthe expression are stored one at a timeinthe variableandthenthe following statements, uptotheEND, are executed. The expressionisoftenofthe form ...
Usematlabcpwith Explicit Times and-cancelOption Associate the Verilog modulevlogtestbench_topwith the MATLAB functionvlogtestbench_top, specifying explicit times with the-canceloption. hdlsim>matlabcp vlogtestbench_top 1e6 fs 3 2e3 ps -repeat 3 ns -cancel 7ns ...
% orientation. KMEANS returns an N-by-1 vector IDX containing the cluster % indices of ...
repeat exactly the same code many times. Better: write the code in two functions, call those functions many times. Whenever you find yourself repeating code, instead ask yourself if there are sufficient commonalities to write a function. Learnt to debug your code: look at your data. So FPRINT...
http://stackoverflow.com/questions/1947889/element-wise-array-replication-in-matlab http://stackoverflow.com/questions/4918763/populate-matlab-array-with-same-values [1 2 3 1 2 3 1 2 3] http://stackoverflow.com/questions/17509090/matlab-duplicate-each-element-of-a-vector...
(about 3 times better) 1st derivative dy1c(x1c), but with new x-values%% If x or y is a row vector, all outputs are returned as row vectors.% On error NaN is returned%%Syntax examples:% dy1=derivativeNE([1;3;4;5],[1;9;16;25]); % 1st derivative y'(x)% [~,dy2]=...
KMEANS returns an N-by-1 vector label containing the % cluster indices of each point. % % [label, center] = LITEKMEANS(X, K) returns the K cluster centroid % locations in the K-by-P matrix center. % % [label, center, bCon] = LITEKMEANS(X, K) returns the bool value bCon ...
The odefxn is returning a row vector instead of a column vector. However, looking at your code, it should be returning a scalar. The issue is that Tair_meas(i) is not doing what you expect. ode45 is a variable step-size solver, meaning it calls odefxn for variable times t...