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Python Source Code - 1.9 KB - MD5: 2f2808b8926a4a019e5c32c2b8a726f2
This document contains the Python code for the simulation
Plain Text - 1.1 KB - MD5: 6a758fffe5bcdd5f24429451e5486fb4
PNG Image - 62.3 KB - MD5: c9a1ae6fa8e0f3e8f1f21f2d2799fd76
Adobe PDF - 208.7 KB - MD5: 4952d2e8aa5936f8c88c4f89daca72c4
This document describes the analyzed problem and the method used in order to develop the simulation.
Plain Text - 378 B - MD5: 5015492acb7aa3963704bbfcc00d9592
Plain Text - 1.1 KB - MD5: a2e2341a3a347194780a745ea62fbbf5
ZIP Archive - 291.7 KB - MD5: 873176f90ea9a9fa62fcda6007e0e5bc
This document contains the data of the simulation results and the Mathematica code used to analyze this data.
ZIP Archive - 14.0 KB - MD5: f51e79ef984e1ec3617f9018c0cd9b96
This file contains all the MATLAB-based codes: distribution of maximizer of the Airy2 process minus parabola, ASEP, ASEPsc, quasi-geodesic, and so on.
Adobe PDF - 331.5 KB - MD5: ecd23401e9f5d8f2c1fc271bfef64831
This document contains a list of codes and data, as well as the simulation methods we used.
Markdown Text - 848 B - MD5: d97dfaf04f65fded991377d4fb4ba0b9
Data set README
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