exportgraphics(gcf, 'comparison_matrices.pdf', 'ContentType', 'vector');
In the realm of numerical computing and data analysis, the visualization of matrix data is a fundamental task. Engineers, scientists, and students frequently search for efficient ways to represent complex data structures, leading to common queries such as
After running this script, you will see:
n = 25; [X, Y] = meshgrid(linspace(-2,2,n)); % Create a mesh grid Z = X .* exp(-X.^2 - Y.^2); % Calculate Z values (matrix data)
% Optional: Add a grid (for smaller matrices, n < 50) if n <= 50 grid on; set(gca, 'GridLineStyle', '--', 'GridAlpha', 0.5); end