{"shas":[["4362a735e4c6a6211adfdafca14bcda7ecc3f61e","2f4647ee874770ca10c713cc9c20bd9b7dba358f@gmail.com","refactor ADV transformation to ENU\n\n> m05.adv.enu$data$ma$v[1:5,]\n           [,1]      [,2]      [,3]\n[1,] -0.2603737 0.3073424 0.1190912\n[2,] -0.2642551 0.2892682 0.1100098\n[3,] -0.2460765 0.2878780 0.1068136\n[4,] -0.2525868 0.2818939 0.1282859\n[5,] -0.2771072 0.2891473 0.1257244\n\n> m05.adv.enu$data$ma$v[1:5,]\n           [,1]      [,2]      [,3]\n[1,] -0.2603737 0.3073424 0.1190912\n[2,] -0.2642551 0.2892682 0.1100098\n[3,] -0.2460765 0.2878780 0.1068136\n[4,] -0.2525868 0.2818939 0.1282859\n[5,] -0.2771072 0.2891473 0.1257244\n\nTotal user time, for 'make m05_adv.out':  2m37.256s on my laptop, versus\n5m32.080s on my desktop.  So that's about a factor of 2 improvement in a\ntypical task.\n\nBut this test includes time spent reading the data, saving output, etc.  So a\nbetter test is to use system.time() just on the xyx.to.enu.adp() step.  This\nyields 3.1 s (user time) on my laptop and 187.5s (user time) on my desktop,\nwhich is factor of 60 improvement.","Dan Kelley"]],"repo":"dankelley/oce","actor":"dankelley","ref":"refs/heads/develop","size":1,"head":"4362a735e4c6a6211adfdafca14bcda7ecc3f61e","actor_gravatar":"7dba56a0153bbb3335fa90fbe1e2fa36","push_id":27080243}