70. Execution Statistics

This table contains the latest execution statistics.

Document

Modified

Method

Run Time (s)

Status

aiyagari

2022-01-27 10:13

cache

20.37

✅

ar1_processes

2022-01-27 10:13

cache

10.14

✅

cake_eating_numerical

2022-01-27 10:13

cache

24.63

✅

cake_eating_problem

2022-01-27 10:13

cache

3.02

✅

career

2022-01-27 10:13

cache

35.84

✅

cass_koopmans_1

2022-01-27 10:13

cache

7.6

✅

cass_koopmans_2

2022-01-27 10:13

cache

6.89

✅

coleman_policy_iter

2022-01-27 10:13

cache

18.97

✅

complex_and_trig

2022-01-27 10:13

cache

3.37

✅

cross_product_trick

2022-01-27 10:13

cache

2.02

✅

egm_policy_iter

2022-01-27 10:13

cache

20.87

✅

exchangeable

2022-01-27 10:13

cache

9.44

✅

finite_markov

2022-01-27 10:13

cache

12.98

✅

ge_arrow

2022-01-27 10:13

cache

3.02

✅

geom_series

2022-01-27 10:13

cache

7.59

✅

harrison_kreps

2022-01-27 10:13

cache

10.26

✅

heavy_tails

2022-01-27 10:13

cache

26.68

✅

ifp

2022-01-27 10:13

cache

38.03

✅

ifp_advanced

2022-01-27 10:13

cache

21.55

✅

imp_sample

2022-01-27 10:13

cache

511.11

✅

intro

2022-01-27 10:13

cache

1.21

✅

inventory_dynamics

2022-01-27 10:13

cache

12.02

✅

jv

2022-01-27 10:13

cache

24.02

✅

kalman

2022-01-27 10:13

cache

30.03

✅

kesten_processes

2022-01-27 10:13

cache

36.7

✅

lagrangian_lqdp

2022-01-27 10:13

cache

17.02

✅

lake_model

2022-01-27 10:13

cache

19.36

✅

likelihood_bayes

2022-01-27 10:13

cache

5.84

✅

likelihood_ratio_process

2022-01-27 10:13

cache

8.35

✅

linear_algebra

2022-01-27 10:13

cache

5.02

✅

linear_models

2022-01-27 10:13

cache

12.01

✅

lln_clt

2022-01-27 10:13

cache

23.25

✅

lp_intro

2022-01-27 10:13

cache

1.94

✅

lq_inventories

2022-01-27 10:13

cache

25.83

✅

lqcontrol

2022-01-27 10:13

cache

12.02

✅

markov_asset

2022-01-27 10:13

cache

11.61

✅

markov_perf

2022-01-27 10:13

cache

11.71

✅

mccall_correlated

2022-01-27 10:13

cache

43.03

✅

mccall_fitted_vfi

2022-01-27 10:14

cache

17.98

✅

mccall_model

2022-01-27 10:14

cache

21.33

✅

mccall_model_with_separation

2022-01-27 10:14

cache

15.02

✅

mle

2022-01-27 10:14

cache

4.63

✅

multi_hyper

2022-01-27 10:14

cache

18.72

✅

multivariate_normal

2022-01-27 10:14

cache

4.42

✅

navy_captain

2022-01-27 10:14

cache

60.03

✅

odu

2022-01-27 10:14

cache

204.63

✅

ols

2022-01-27 10:14

cache

7.63

✅

opt_transport

2022-01-27 10:14

cache

17.46

✅

optgrowth

2022-01-27 10:14

cache

67.82

✅

optgrowth_fast

2022-01-27 10:14

cache

28.02

✅

pandas_panel

2022-01-27 10:14

cache

5.02

✅

perm_income

2022-01-27 10:14

cache

12.74

✅

perm_income_cons

2022-01-27 10:14

cache

12.36

✅

prob_meaning

2022-01-27 10:14

cache

62.03

✅

qr_decomp

2022-01-27 10:14

cache

1.48

✅

rational_expectations

2022-01-27 10:14

cache

11.02

✅

re_with_feedback

2022-01-27 10:14

cache

13.84

✅

samuelson

2022-01-27 10:14

cache

18.02

✅

scalar_dynam

2022-01-27 10:14

cache

3.68

✅

schelling

2022-01-27 10:14

cache

3.74

✅

short_path

2022-01-27 10:14

cache

1.45

✅

sir_model

2022-01-27 10:14

cache

3.37

✅

status

2022-01-27 10:14

cache

1.21

✅

svd_intro

2022-01-27 10:14

cache

6.02

✅

time_series_with_matrices

2022-01-27 10:14

cache

2.8

✅

troubleshooting

2022-01-27 10:14

cache

1.21

✅

uncertainty_traps

2022-01-27 10:14

cache

2.87

✅

von_neumann_model

2022-01-27 10:14

cache

4.02

✅

wald_friedman

2022-01-27 10:14

cache

24.94

✅

wealth_dynamics

2022-01-27 10:14

cache

113.76

✅

zreferences

2022-01-27 10:14

cache

1.21

✅

These lectures are built on linux instances through github actions so are executed using the following hardware specifications