08-Jan-2022 10:41:08 triangulation_order3_contour_test(): MATLAB/Octave version 9.8.0.1380330 (R2020a) Update 2 Test triangulation_order3_contour(). 08-Jan-2022 10:41:08 TRIANGULATION_ORDER3_CONTOUR: MATLAB/Octave version 9.8.0.1380330 (R2020a) Update 2 Plot a scalar U(X,Y) on a triangulated data set. This program expects to find three files to read: * a node file, containing the node coordinates, * an element file, containing triples of nodes that form triangles, (optional; if not supplied, the program will create the element information); * a value file, containing solution values. It reads the files and makes plots of: * the triangulation, * a crude contour plot that is constant over each triangle, and * a nicer contour plot that uses interpolation. Read the header of "lake_nodes.txt". Spatial dimension DIM_NUM = 2 Number of points NODE_NUM = 621 Read the data in "lake_nodes.txt". First 5 nodes: Row: 1 2 Col 1 316.430270 404.475590 2 291.049460 400.709170 3 265.165040 409.778900 4 241.467940 402.403100 5 216.551450 396.520640 Read the header of "lake_elements.txt". Triangle order = 3 Number of triangles TRIANGLE_NUM = 973 Read the data in "lake_elements.txt". First 10 elements: Row: 1 2 3 Col 1 619 618 39 2 620 619 39 3 125 126 7 4 125 132 126 5 143 135 150 6 143 150 154 7 481 69 482 8 454 68 464 9 460 472 473 10 460 450 472 MESH_BASE_ONE: The element indexing appears to be 1-based! No conversion is necessary. Read the header of "lake_values.txt". Spatial dimension = 1 Number of values = 621 Read the data in "lake_values.txt". First 5 values: Row: 1 Col 1 1.054910 2 0.981111 3 0.952925 4 0.880940 5 0.816493 Saved image in file "lake_mesh.png" Saved image in file "lake_pwc.png" Saved image in file "lake_interp.png" TRIANGULATION_ORDER3_CONTOUR: Normal end of execution. 08-Jan-2022 10:41:30 triangulation_order3_contour_test(): Normal end of execution. 08-Jan-2022 10:41:30