% function 06 --> getStreetPath_upperRiverStreet function streetPath_upperRiver = getStreetPath_upperRiverStreet(alphaMat_RiverR) % calculate m and n for matrix riverMat_AlphaR [m n] = size(alphaMat_RiverR); posXY_Array = []; % LOOP for i = 1:n tmpColumnArr = alphaMat_RiverR(:...
1×10 struct array with fields: whatever >> x=rand(1,100); >> y=x(randperm(length(x),length(s))) % randomly pick 10 numbers from x y = 0.4218 0.6160 0.7060 0.6797 0.1419 0.3404 0.6787 0.7513 0.6991 0.1493 % Assign to a field of struct array...
To make your basic strategy work properly, you need to pick out elements one-at-a-time, as you are doing, and place them in random positions in newArray but keep reducing the available locations in newArray so that no other value gets placed there. In other words, you need an a...
Hi, From a matrix, I would like to pick one element from each row and not from same column for all possibilities. Only for non zero elements. Example, from A = [1 2 0; 1 2 0; 0 0 3], I want to obtain (1 2 3 and 2 1 3). ...
whether or not to use probabilities to update emigration rates.% RandSeed = random number seed% OUTPUTS: MinCost = array of best solution, one element for each generation% Hamming = final Hamming distance between solutions% CAVEAT: The "ClearDups" function that is called below replaces duplicat...
it is only used to specify the size. Therepmatfunction was used instead ofA(:,1:m)becauseAmay have more rows than columns, which will be the case in a least-squares problem. You have to be sure to always assign values to every element of an array when you declare it withcoder.nullco...
1 to (size of a) with random arrangement. So we can first three elements (or other three) as a argument of a. CompleteCode a = [Your array]; b = randpermsize(a,1)*size(a,2)); firstrandom = a(b(1)); secondrandomelement...
In this code, you are creating an array that contains the values from 1 to 6, incrementing by two between each element. The step is two, so NumPy starts with 1, increments to 3, and then to 5. The next step would equal the stop value, but NumPy does not include the stop value ...
% RandSeed = random number seed % OUTPUTS: MinCost = array of best solution, one element for each generation % Hamming = final Hamming distance between solutions % CAVEAT: The "ClearDups" function that is called below replaces duplicates with randomly-generated ...
the equidistribution heuristic has been found nearly optimal. Element sizes must be chosen so that each element contributes the same to the error. The theory of adaptive schemes makes use of a priori bounds for solutions in terms of the source functionf. For nonelliptic problems, such bounds mi...