85. Execution Statistics

This table contains the latest execution statistics.

Document	Modified	Method	Run Time (s)	Status
aiyagari	2023-04-05 04:09	cache	26.49	✅
ar1_bayes	2023-04-05 04:21	cache	728.27	✅
ar1_processes	2023-04-05 04:21	cache	5.71	✅
ar1_turningpts	2023-04-05 04:22	cache	66.04	✅
back_prop	2023-04-05 04:24	cache	132.84	✅
bayes_nonconj	2023-04-05 05:37	cache	4356.68	✅
cake_eating_numerical	2023-04-05 05:37	cache	26.74	✅
cake_eating_problem	2023-04-05 05:37	cache	2.3	✅
career	2023-04-05 05:38	cache	17.87	✅
cass_koopmans_1	2023-04-05 05:38	cache	11.6	✅
cass_koopmans_2	2023-04-05 05:38	cache	9.56	✅
coleman_policy_iter	2023-04-05 05:38	cache	20.84	✅
complex_and_trig	2023-04-05 05:39	cache	3.81	✅
cross_product_trick	2023-04-05 05:39	cache	1.11	✅
egm_policy_iter	2023-04-05 05:39	cache	16.33	✅
eig_circulant	2023-04-05 05:39	cache	5.64	✅
exchangeable	2023-04-05 05:39	cache	10.69	✅
finite_markov	2023-04-05 05:39	cache	10.75	✅
ge_arrow	2023-04-05 05:39	cache	2.52	✅
geom_series	2023-04-05 05:39	cache	4.86	✅
harrison_kreps	2023-04-05 05:40	cache	7.76	✅
heavy_tails	2023-04-05 05:40	cache	27.27	✅
hoist_failure	2023-04-05 05:41	cache	77.03	✅
house_auction	2023-04-05 05:41	cache	7.28	✅
ifp	2023-04-05 05:42	cache	36.7	✅
ifp_advanced	2023-04-05 05:43	cache	26.07	✅
imp_sample	2023-04-05 05:47	cache	276.46	✅
intro	2023-04-05 05:47	cache	1.05	✅
inventory_dynamics	2023-04-05 05:47	cache	12.46	✅
jv	2023-04-05 05:48	cache	24.82	✅
kalman	2023-04-05 05:48	cache	12.27	✅
kesten_processes	2023-04-05 05:49	cache	69.61	✅
lagrangian_lqdp	2023-04-05 05:50	cache	23.43	✅
lake_model	2023-04-05 05:50	cache	20.95	✅
likelihood_bayes	2023-04-05 05:51	cache	48.12	✅
likelihood_ratio_process	2023-04-05 05:51	cache	11.06	✅
linear_algebra	2023-04-05 05:51	cache	3.28	✅
linear_models	2023-04-05 05:51	cache	11.64	✅
lln_clt	2023-04-05 05:51	cache	14.72	✅
lp_intro	2023-04-05 05:51	cache	2.35	✅
lq_inventories	2023-04-05 05:52	cache	23.08	✅
lqcontrol	2023-04-05 05:52	cache	10.21	✅
markov_asset	2023-04-05 05:52	cache	10.27	✅
markov_perf	2023-04-05 05:52	cache	8.77	✅
mccall_correlated	2023-04-05 05:53	cache	38.1	✅
mccall_fitted_vfi	2023-04-05 05:53	cache	21.72	✅
mccall_model	2023-04-05 05:54	cache	19.86	✅
mccall_model_with_separation	2023-04-05 05:54	cache	11.45	✅
mccall_q	2023-04-05 05:54	cache	25.28	✅
mix_model	2023-04-05 05:56	cache	90.0	✅
mle	2023-04-05 05:56	cache	6.03	✅
multi_hyper	2023-04-05 05:56	cache	26.14	✅
multivariate_normal	2023-04-05 05:56	cache	5.72	✅
navy_captain	2023-04-05 05:57	cache	36.99	✅
newton_method	2023-04-05 06:00	cache	169.76	✅
odu	2023-04-05 06:01	cache	60.45	✅
ols	2023-04-05 06:01	cache	14.11	✅
opt_transport	2023-04-05 06:02	cache	26.13	✅
optgrowth	2023-04-05 06:03	cache	93.27	✅
optgrowth_fast	2023-04-05 06:04	cache	30.45	✅
pandas_panel	2023-04-05 06:04	cache	5.37	✅
perm_income	2023-04-05 06:04	cache	10.08	✅
perm_income_cons	2023-04-05 06:04	cache	11.26	✅
prob_matrix	2023-04-05 06:04	cache	12.45	✅
prob_meaning	2023-04-05 06:06	cache	75.91	✅
qr_decomp	2023-04-05 06:06	cache	1.83	✅
rand_resp	2023-04-05 06:06	cache	3.4	✅
rational_expectations	2023-04-05 06:06	cache	7.91	✅
re_with_feedback	2023-04-05 06:06	cache	12.14	✅
samuelson	2023-04-05 06:06	cache	18.62	✅
scalar_dynam	2023-04-05 06:06	cache	5.03	✅
schelling	2023-04-05 06:07	cache	3.54	✅
short_path	2023-04-05 06:07	cache	1.56	✅
sir_model	2023-04-05 06:07	cache	4.01	✅
status	2023-04-05 05:47	cache	1.05	✅
svd_intro	2023-04-05 06:07	cache	7.56	✅
time_series_with_matrices	2023-04-05 06:07	cache	4.41	✅
troubleshooting	2023-04-05 05:47	cache	1.05	✅
two_auctions	2023-04-05 06:07	cache	17.89	✅
uncertainty_traps	2023-04-05 06:07	cache	3.35	✅
util_rand_resp	2023-04-05 06:07	cache	4.32	✅
var_dmd	2023-04-05 05:47	cache	1.05	✅
von_neumann_model	2023-04-05 06:07	cache	2.88	✅
wald_friedman	2023-04-05 06:08	cache	24.35	✅
wealth_dynamics	2023-04-05 06:10	cache	131.06	✅
zreferences	2023-04-05 05:47	cache	1.05	✅

These lectures are built on linux instances through github actions and amazon web services (aws) to enable access to a gpu. These lectures are built on a p3.2xlarge that has access to 8 vcpu's, a V100 NVIDIA Tesla GPU, and 61 Gb of memory.