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01_integration.ipynb
01_integration.ipynb
 
 
02_integration_approximation.ipynb
02_integration_approximation.ipynb
 
 
03_approximation.ipynb
03_approximation.ipynb
 
 
04_histograms.ipynb
04_histograms.ipynb
 
 
04_multid_approx_kde.ipynb
04_multid_approx_kde.ipynb
 
 
05_optimization.ipynb
05_optimization.ipynb
 
 
06a_prngs.ipynb
06a_prngs.ipynb
 
 
06b_monte_carlo_methods.ipynb
06b_monte_carlo_methods.ipynb
 
 
06c_distribution_sampling.ipynb
06c_distribution_sampling.ipynb
 
 
06d_multid_sampling_mcmc.ipynb
06d_multid_sampling_mcmc.ipynb
 
 
07_model_parameter_inference.ipynb
07_model_parameter_inference.ipynb
 
 
08_ml_intro.ipynb
08_ml_intro.ipynb
 
 
08b_neighbor_search_methods.ipynb
08b_neighbor_search_methods.ipynb
 
 
08c_SDSS_star_galaxy_classification.ipynb
08c_SDSS_star_galaxy_classification.ipynb
 
 
09_odes.ipynb
09_odes.ipynb
 
 
Debugging_Programs_Phil_Mansfield.pdf
Debugging_Programs_Phil_Mansfield.pdf
 
 
README.md
README.md
 
 
hist_contour_smoothing_example.ipynb
hist_contour_smoothing_example.ipynb
 
 
hw01_int_interpolation.ipynb
hw01_int_interpolation.ipynb
 
 
hw02_approximation.ipynb
hw02_approximation.ipynb
 
 
hw03.ipynb
hw03.ipynb
 
 
hw03_background_sdss.ipynb
hw03_background_sdss.ipynb
 
 
hw04.ipynb
hw04.ipynb
 
 
hw05.ipynb
hw05.ipynb
 
 
hw06_galclass.ipynb
hw06_galclass.ipynb
 
 
hw06_galclass_neural_nets.ipynb
hw06_galclass_neural_nets.ipynb
 
 
hw06_ode.ipynb
hw06_ode.ipynb
 
 
lab01_trap_integration_plots.ipynb
lab01_trap_integration_plots.ipynb
 
 
lab01b_trap_integration.ipynb
lab01b_trap_integration.ipynb
 
 
lab02.ipynb
lab02.ipynb
 
 
lab03_histograms.ipynb
lab03_histograms.ipynb
 
 
lab_model_par_inference.ipynb
lab_model_par_inference.ipynb
 
 
numpy_and_optimization.ipynb
numpy_and_optimization.ipynb
 
 

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ASTR 21100 "Computational methods in Astronomy" Winter 2020

Instructor: Andrey Kravtsov

TAs: Dimitrios Tanoglidis, Georgios Zacharegkas

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