to experiment in MATLAB, to learn the language, to get a feeling for how it works. This is how to learn such a language. So, try a couple of things. I'll give you enough hints to get there very quickly. First, I'll assume that your matrix is rather uninterestingly called "matrix...
Return a matrix or cell array of size N-by-2 that specifies the end nodes of edges in the graph: If s is a numeric node index, then the matrix contains numeric node indices. If s is a node name, then the matrix is a cell array containing node names. Additionally, you can specify...
Return a matrix or cell array of size N-by-2 that specifies the end nodes of edges in the graph: If s is a numeric node index, then the matrix contains numeric node indices. If s is a node name, then the matrix is a cell array containing node names. Additionally, you can specify...
Return a matrix or cell array of size N-by-2 that specifies the end nodes of edges in the graph: If s is a numeric node index, then the matrix contains numeric node indices. If s is a node name, then the matrix is a cell array containing node names. Additionally, you can specify...
X0— Matrix with nvars columns, where each row represents one initial point. Fvals— Matrix with numObjectives columns, where each row represents the objective function values at the corresponding point in X0. Cineq— Matrix with numIneq columns, where each row represents the nonlinear inequality...
nonlcon returns a matrix of size n-by-mc in the first argument, where mc is the number of nonlinear inequality constraints. See Vectorize the Fitness Function. For example, x = paretosearch(@myfun,nvars,A,b,Aeq,beq,lb,ub,@mycon), where mycon is a MATLAB® function such as the ...
% coordinate matrix of size Nx2 or Nx3 or a symmetric distance matrix. % Euclidian distances are used in the coordinate case. M is an integer % in the range 1 to N. Default is M = 1. % % METHOD % M nearest neighbour tours are generated from randomly selected starting % points. ...
disp('Found roots for the determinant of the matrix A.'); disp('Corresponding omega and k values:'); for idx = find(is_root) fprintf('Omega: %.2f, k: %.2f + %.2fi, rcond(A): %.2e\n', omega_range(idx), real(results(idx)), imag(...
,p^n). The coordinate rotation is achieved using the following rotation matrix: 𝒑̂𝑖=[cos𝜃sin𝜃−sin𝜃cos𝜃]𝒑𝑖p^i=[cosθ−sinθsinθcosθ]pi (5) Step 2—Plan a parallel trajectory in the new convex polygon, with the trajectory direction parallel to the Y axis...
Liu et al. used the function ‘fminbnd’ in MATLAB to find the minimum points based on the matrix representation of the dispersion equation [12]. Some researchers used the winding number integral method to solve the complex roots of the dispersion equation. This method is based on the ...