84. Execution Statistics#

This table contains the latest execution statistics.

Document

Modified

Method

Run Time (s)

Status

aiyagari

2024-03-17 23:37

cache

26.07

ar1_bayes

2024-03-17 23:44

cache

424.14

ar1_turningpts

2024-03-17 23:45

cache

43.07

back_prop

2024-03-17 23:46

cache

74.86

bayes_nonconj

2024-03-18 00:57

cache

4268.17

cake_eating_numerical

2024-03-18 00:57

cache

28.8

cake_eating_problem

2024-03-18 00:57

cache

2.3

career

2024-03-18 00:58

cache

18.33

cass_koopmans_1

2024-03-18 00:58

cache

10.78

cass_koopmans_2

2024-03-18 00:58

cache

8.87

coleman_policy_iter

2024-03-18 00:58

cache

18.42

complex_and_trig

2024-03-18 00:59

cache

4.02

cross_product_trick

2024-03-18 00:59

cache

1.01

egm_policy_iter

2024-03-18 00:59

cache

6.7

eig_circulant

2024-03-18 00:59

cache

5.03

exchangeable

2024-03-18 00:59

cache

10.19

finite_markov

2024-03-18 00:59

cache

11.51

ge_arrow

2024-03-18 00:59

cache

2.33

geom_series

2024-03-18 00:59

cache

4.44

harrison_kreps

2024-03-18 00:59

cache

8.73

heavy_tails

2024-03-18 00:59

cache

1.16

hoist_failure

2024-03-18 01:01

cache

76.95

house_auction

2024-03-18 01:01

cache

7.83

ifp

2024-03-18 01:02

cache

54.74

ifp_advanced

2024-03-18 01:02

cache

31.32

imp_sample

2024-03-18 01:07

cache

276.63

intro

2024-03-18 00:59

cache

1.16

inventory_dynamics

2024-03-18 01:07

cache

12.12

jv

2024-03-18 01:07

cache

19.55

kalman

2024-03-18 01:08

cache

12.66

kalman_2

2024-03-18 01:08

cache

29.48

kesten_processes

2024-03-18 01:09

cache

52.98

lagrangian_lqdp

2024-03-18 01:09

cache

22.33

lake_model

2024-03-18 01:10

cache

20.39

likelihood_bayes

2024-03-18 01:11

cache

49.25

likelihood_ratio_process

2024-03-18 01:11

cache

10.66

linear_algebra

2024-03-18 01:11

cache

3.0

linear_models

2024-03-18 01:11

cache

12.87

lln_clt

2024-03-18 01:11

cache

14.52

lp_intro

2024-03-18 01:11

cache

2.07

lq_inventories

2024-03-18 01:12

cache

22.91

lqcontrol

2024-03-18 01:12

cache

10.69

markov_asset

2024-03-18 01:12

cache

11.33

markov_perf

2024-03-18 01:12

cache

9.74

mccall_correlated

2024-03-18 01:14

cache

92.87

mccall_fitted_vfi

2024-03-18 01:14

cache

12.59

mccall_model

2024-03-18 01:14

cache

20.77

mccall_model_with_separation

2024-03-18 01:15

cache

12.52

mccall_q

2024-03-18 01:15

cache

24.59

mix_model

2024-03-18 01:16

cache

36.87

mle

2024-03-18 01:16

cache

6.11

multi_hyper

2024-03-18 01:16

cache

25.66

multivariate_normal

2024-03-18 01:16

cache

5.66

navy_captain

2024-03-18 01:17

cache

34.81

newton_method

2024-03-18 01:18

cache

87.76

odu

2024-03-18 01:19

cache

59.03

ols

2024-03-18 01:20

cache

17.31

opt_transport

2024-03-18 01:20

cache

26.47

optgrowth

2024-03-18 01:21

cache

83.05

optgrowth_fast

2024-03-18 01:22

cache

29.25

pandas_panel

2024-03-18 01:22

cache

6.19

perm_income

2024-03-18 01:22

cache

4.82

perm_income_cons

2024-03-18 01:22

cache

12.02

prob_matrix

2024-03-18 01:23

cache

18.12

prob_meaning

2024-03-18 01:24

cache

75.82

qr_decomp

2024-03-18 01:24

cache

1.55

rand_resp

2024-03-18 01:24

cache

3.05

rational_expectations

2024-03-18 01:24

cache

8.84

re_with_feedback

2024-03-18 01:24

cache

12.87

samuelson

2024-03-18 01:25

cache

18.19

scalar_dynam

2024-03-18 01:25

cache

4.38

schelling

2024-03-18 01:25

cache

3.1

short_path

2024-03-18 01:25

cache

1.33

sir_model

2024-03-18 01:25

cache

3.79

status

2024-03-18 00:59

cache

1.16

svd_intro

2024-03-18 01:25

cache

1.69

troubleshooting

2024-03-18 00:59

cache

1.16

two_auctions

2024-03-18 01:25

cache

17.18

uncertainty_traps

2024-03-18 01:25

cache

3.3

util_rand_resp

2024-03-18 01:25

cache

3.61

var_dmd

2024-03-18 00:59

cache

1.16

von_neumann_model

2024-03-18 01:25

cache

2.93

wald_friedman

2024-03-18 01:26

cache

17.4

wealth_dynamics

2024-03-18 01:26

cache

43.62

zreferences

2024-03-18 00:59

cache

1.16

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.