84. Execution Statistics#

This table contains the latest execution statistics.

Document

Modified

Method

Run Time (s)

Status

aiyagari

2024-02-17 11:25

cache

30.83

ar1_bayes

2024-02-17 11:35

cache

599.22

ar1_turningpts

2024-02-17 11:36

cache

61.74

back_prop

2024-02-17 11:38

cache

74.43

bayes_nonconj

2024-02-17 12:49

cache

4304.46

cake_eating_numerical

2024-02-17 12:50

cache

30.27

cake_eating_problem

2024-02-17 12:50

cache

2.39

career

2024-02-17 12:50

cache

19.29

cass_koopmans_1

2024-02-17 12:50

cache

11.27

cass_koopmans_2

2024-02-17 12:51

cache

9.48

coleman_policy_iter

2024-02-17 12:51

cache

24.21

complex_and_trig

2024-02-17 12:51

cache

4.49

cross_product_trick

2024-02-17 12:51

cache

4.02

egm_policy_iter

2024-02-17 12:51

cache

12.7

eig_circulant

2024-02-17 12:51

cache

5.6

exchangeable

2024-02-17 12:52

cache

10.73

finite_markov

2024-02-17 12:52

cache

11.65

ge_arrow

2024-02-17 12:52

cache

2.68

geom_series

2024-02-17 12:52

cache

4.67

harrison_kreps

2024-02-17 12:52

cache

9.1

heavy_tails

2024-02-17 12:52

cache

1.28

hoist_failure

2024-02-17 12:53

cache

78.64

house_auction

2024-02-17 12:54

cache

8.04

ifp

2024-02-17 12:54

cache

41.38

ifp_advanced

2024-02-17 12:55

cache

32.14

imp_sample

2024-02-17 12:59

cache

276.87

intro

2024-02-17 12:52

cache

1.28

inventory_dynamics

2024-02-17 13:00

cache

12.84

jv

2024-02-17 13:00

cache

21.07

kalman

2024-02-17 13:00

cache

13.02

kalman_2

2024-02-17 13:01

cache

31.52

kesten_processes

2024-02-17 13:02

cache

69.84

lagrangian_lqdp

2024-02-17 13:02

cache

22.82

lake_model

2024-02-17 13:03

cache

20.94

likelihood_bayes

2024-02-17 13:03

cache

49.97

likelihood_ratio_process

2024-02-17 13:04

cache

11.08

linear_algebra

2024-02-17 13:04

cache

3.92

linear_models

2024-02-17 13:04

cache

12.3

lln_clt

2024-02-17 13:04

cache

14.78

lp_intro

2024-02-17 13:04

cache

2.25

lq_inventories

2024-02-17 13:05

cache

24.16

lqcontrol

2024-02-17 13:05

cache

10.96

markov_asset

2024-02-17 13:05

cache

11.52

markov_perf

2024-02-17 13:05

cache

10.06

mccall_correlated

2024-02-17 13:07

cache

90.77

mccall_fitted_vfi

2024-02-17 13:07

cache

21.31

mccall_model

2024-02-17 13:07

cache

21.33

mccall_model_with_separation

2024-02-17 13:08

cache

12.87

mccall_q

2024-02-17 13:08

cache

25.53

mix_model

2024-02-17 13:09

cache

39.81

mle

2024-02-17 13:09

cache

6.13

multi_hyper

2024-02-17 13:09

cache

26.68

multivariate_normal

2024-02-17 13:09

cache

5.72

navy_captain

2024-02-17 13:10

cache

39.45

newton_method

2024-02-17 13:12

cache

91.02

odu

2024-02-17 13:13

cache

57.52

ols

2024-02-17 13:13

cache

17.3

opt_transport

2024-02-17 13:13

cache

26.86

optgrowth

2024-02-17 13:15

cache

87.27

optgrowth_fast

2024-02-17 13:16

cache

53.13

pandas_panel

2024-02-17 13:16

cache

5.94

perm_income

2024-02-17 13:16

cache

4.82

perm_income_cons

2024-02-17 13:16

cache

12.24

prob_matrix

2024-02-17 13:16

cache

18.76

prob_meaning

2024-02-17 13:18

cache

77.61

qr_decomp

2024-02-17 13:18

cache

1.59

rand_resp

2024-02-17 13:18

cache

3.1

rational_expectations

2024-02-17 13:18

cache

8.8

re_with_feedback

2024-02-17 13:18

cache

13.4

samuelson

2024-02-17 13:18

cache

18.72

scalar_dynam

2024-02-17 13:18

cache

4.62

schelling

2024-02-17 13:19

cache

3.39

short_path

2024-02-17 13:19

cache

1.37

sir_model

2024-02-17 13:19

cache

3.86

status

2024-02-17 12:52

cache

1.28

svd_intro

2024-02-17 13:19

cache

1.83

troubleshooting

2024-02-17 12:52

cache

1.28

two_auctions

2024-02-17 13:19

cache

17.72

uncertainty_traps

2024-02-17 13:19

cache

3.49

util_rand_resp

2024-02-17 13:19

cache

3.65

var_dmd

2024-02-17 12:52

cache

1.28

von_neumann_model

2024-02-17 13:19

cache

2.71

wald_friedman

2024-02-17 13:20

cache

21.14

wealth_dynamics

2024-02-17 13:20

cache

44.07

zreferences

2024-02-17 12:52

cache

1.28

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.