Pebble basic multirun.py

From Werner KRAUTH

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-This page presents the program markov_disks_box.py, a Markov-chain algorithm for four disks in a square box of sides 1.+This page presents the program pebble_basic_multirun.py, a simple linear algebra algorithm for simulating the pebble game (several times).
__FORCETOC__ __FORCETOC__
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=Program= =Program=
- import random 
-  
- L = [[0.25, 0.25], [0.75, 0.25], [0.25, 0.75], [0.75, 0.75]] 
- sigma = 0.15 
- sigma_sq = sigma ** 2 
- delta = 0.1 
- n_steps = 1000 
- for steps in range(n_steps): 
- a = random.choice(L) 
- b = [a[0] + random.uniform(-delta, delta), a[1] + random.uniform(-delta, delta)] 
- min_dist = min((b[0] - c[0]) ** 2 + (b[1] - c[1]) ** 2 for c in L if c != a) 
- box_cond = min(b[0], b[1]) < sigma or max(b[0], b[1]) > 1.0 - sigma 
- if not (box_cond or min_dist < 4.0 * sigma ** 2): 
- a[:] = b 
- print L 
- 
-=Version= 
-See history for version information. 
- 
-[[Category:Python]] 
import random import random
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site = neighbor[site][random.randint(0, 3)] site = neighbor[site][random.randint(0, 3)]
print site print site
 +=Version=
 +See history for version information.
 +
 +[[Category:Python]]
 +[[Category:Honnef_2015]]
 +[[Category:MOOC_SMAC]]

Current revision

This page presents the program pebble_basic_multirun.py, a simple linear algebra algorithm for simulating the pebble game (several times).


Contents

Description

Program

import random

neighbor =  [[1, 3, 0, 0], [2, 4, 0, 1], [2, 5, 1, 2],
             [4, 6, 3, 0], [5, 7, 3, 1], [5, 8, 4, 2],
             [7, 6, 6, 3], [8, 7, 6, 4], [8, 8, 7, 5]]
t_max = 4
N_runs = 25600
for run in range(N_runs):
    site = 8
    t = 0
    while t < t_max:
        t += 1
        site = neighbor[site][random.randint(0, 3)]
    print site

Version

See history for version information.

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