UF Sparse Matrix Collection: Mallya group.
matrix | graph | Group/Name | id | download | # rows | # cols | nonzeros | type | sym | spd? |
---|---|---|---|---|---|---|---|---|---|---|
Mallya/lhr01 | 734 | MAT, MM, RB | 1,477 | 1,477 | 18,427 | real unsymmetric | 0% | no | ||
Mallya/lhr02 | 735 | MAT, MM, RB | 2,954 | 2,954 | 36,875 | real unsymmetric | 0% | no | ||
Mallya/lhr04 | 736 | MAT, MM, RB | 4,101 | 4,101 | 81,057 | real unsymmetric | 0% | no | ||
Mallya/lhr04c | 737 | MAT, MM, RB | 4,101 | 4,101 | 82,682 | real unsymmetric | 0% | no | ||
Mallya/lhr07 | 738 | MAT, MM, RB | 7,337 | 7,337 | 154,660 | real unsymmetric | 0% | no | ||
Mallya/lhr07c | 739 | MAT, MM, RB | 7,337 | 7,337 | 156,508 | real unsymmetric | 0% | no | ||
Mallya/lhr10 | 740 | MAT, MM, RB | 10,672 | 10,672 | 228,395 | real unsymmetric | 0.00% | no | ||
Mallya/lhr10c | 741 | MAT, MM, RB | 10,672 | 10,672 | 232,633 | real unsymmetric | 0.00% | no | ||
Mallya/lhr11 | 742 | MAT, MM, RB | 10,964 | 10,964 | 231,806 | real unsymmetric | 0.00% | no | ||
Mallya/lhr11c | 743 | MAT, MM, RB | 10,964 | 10,964 | 233,741 | real unsymmetric | 0.00% | no | ||
Mallya/lhr14 | 744 | MAT, MM, RB | 14,270 | 14,270 | 305,750 | real unsymmetric | 0% | no | ||
Mallya/lhr14c | 745 | MAT, MM, RB | 14,270 | 14,270 | 307,858 | real unsymmetric | 0% | no | ||
Mallya/lhr17 | 746 | MAT, MM, RB | 17,576 | 17,576 | 379,761 | real unsymmetric | 0.02% | no | ||
Mallya/lhr17c | 747 | MAT, MM, RB | 17,576 | 17,576 | 381,975 | real unsymmetric | 0.00% | no | ||
Mallya/lhr34 | 748 | MAT, MM, RB | 35,152 | 35,152 | 746,972 | real unsymmetric | 0.02% | no | ||
Mallya/lhr34c | 749 | MAT, MM, RB | 35,152 | 35,152 | 764,014 | real unsymmetric | 0.00% | no | ||
Mallya/lhr71 | 750 | MAT, MM, RB | 70,304 | 70,304 | 1,494,006 | real unsymmetric | 0.02% | no | ||
Mallya/lhr71c | 751 | MAT, MM, RB | 70,304 | 70,304 | 1,528,092 | real unsymmetric | 0.00% | no |
Maintained by Tim Davis, last updated 10-Jun-2015.
Matrix pictures by cspy, a MATLAB function in the CSparse package.
See UFget to download directly into MATLAB.