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.