rsion extends the classical DQ by allowing arbitrary distributions of grid points (not necessarily uniform) and utilizing different basis functions for weight computation. This approach enhances flexibility and a
-1) / (N-1)); % Chebyshev points x = (a + b)/2 + (b - a)/2 x; % Scale to domain % Compute weights w1 = computeWeights(x); w2 = w1 w1; % Define source term Q = @(x) -pi^2 sin(pi x); % Setup RHS rhs = Q(x)'; % Boundary conditions T_a = 0; T_b = 0; % Modify system for boundary cond
d discretization schemes. Computational Cost for Large-Scale Problems: Although efficient, very large systems may still be computationally demanding. Future Directions and Developments Research continues to expand the capabilities of differential quadrature, focusin
