1 2% run this output of this program as a script in MATLAB: 3 4% GraphBLAS matrix A: nrows: 3 ncols 5 entries: 10 5A = sparse (3,5) ; 6 A (1,2) = ( 0) + ( 0.8253972948485638)*1i ; 7 A (1,3) = ( 0.8158771738902956) + ( 0.6199473944886393)*1i ; 8 A (1,4) = ( 0.230335927869842) + ( 0)*1i ; 9 A (1,5) = ( 0.6834455780600209) + ( 0)*1i ; 10 A (2,1) = ( 0) + ( 0.8145545554415048)*1i ; 11 A (2,2) = ( 0) + ( 0.8106511441383925)*1i ; 12 A (2,3) = ( 0) + ( 0.6296551667948371)*1i ; 13 A (2,4) = ( 0.6749993971837149) + ( 0.1028046574093258)*1i ; 14 A (2,5) = ( 0.1781985185630041) + ( 0)*1i ; 15 A (3,1) = ( 0.6668132827629559) + ( 0)*1i ; 16A 17 18% GraphBLAS matrix B: nrows: 5 ncols 4 entries: 13 19B = sparse (5,4) ; 20 B (1,1) = ( 0.03470661760412896) + ( 0)*1i ; 21 B (1,2) = ( 0.2320846810101108) + ( 0)*1i ; 22 B (1,4) = ( 0.4037695773165162) + ( 0)*1i ; 23 B (2,1) = ( 0) + ( 0.70501889367129)*1i ; 24 B (2,3) = ( 0.2114568817022959) + ( 0)*1i ; 25 B (2,4) = ( 0) + ( 0.4423346124115619)*1i ; 26 B (3,1) = ( 0.929676618909714) + ( 0)*1i ; 27 B (3,2) = ( 0.03154825424997802) + ( 0)*1i ; 28 B (3,3) = ( 0) + ( 0.1598994553484671)*1i ; 29 B (3,4) = ( 0.9813322475732387) + ( 0.9048904118202962)*1i ; 30 B (4,1) = ( 0) + ( 0.9376008381429164)*1i ; 31 B (4,4) = ( 0) + ( 0.8269171297987302)*1i ; 32 B (5,4) = ( 0.1371733231185191) + ( 0)*1i ; 33B 34 35% GraphBLAS matrix C: nrows: 3 ncols 4 entries: 11 36C = sparse (3,4) ; 37 C (1,1) = ( 0.1765812448145327) + ( 0.7923137566352751)*1i ; 38 C (1,2) = ( 0.02573950051864457) + ( 0.01955825802293901)*1i ; 39 C (1,3) = (-0.09912925072343469) + ( 0.3049942538704926)*1i ; 40 C (1,4) = (-0.03168916369751931) + ( 1.537122526250736)*1i ; 41 C (2,1) = ( -0.6679141057457941) + ( 1.24652612056368)*1i ; 42 C (2,2) = ( 0) + ( 0.2089101554568301)*1i ; 43 C (2,3) = ( -0.1006815182278427) + ( 0.1714177630879029)*1i ; 44 C (2,4) = ( -0.9889148320979797) + ( 1.50496183271377)*1i ; 45 C (3,1) = ( 0.02314283361820783) + ( 0)*1i ; 46 C (3,2) = ( 0.1547571480233455) + ( 0)*1i ; 47 C (3,4) = ( 0.2692389173302374) + ( 0)*1i ; 48C 49E = A*B 50err = norm (C-E,1) 51assert (err < 1e-12) 52