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| 10.11.2008 at 08:51PM PDT, ID: 23807302 |
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Attachment Details
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The Solution Rating System
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With so many solutions, how can you tell which solutions are most likely to help you and which ones are not? To provide you with a tool to use, we rate our solutions based on various elements that most accurately determine if a solution is a quality solution. To explain what factors affect the solution rating, here are the elements we take into consideration when formulating our solution rating.
Your Input Matters If you have any suggestions that you would like to make for our rating system, please ask a question in the Suggestions Zone of Community Support. Thank you! |
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import os
from pylab import *
from numpy import *
# get the probabilities of going from one state to another.
data = loadtxt("mat.txt")
data = data.reshape(-1,26)
# chop off the last row and column
# transition probabilities among the transient states
Q = data[0:25,0:25]
# the transition probabilities from transient to absorbing
R = data[0:25,25:26]
#print R
# M = (I-Q)^-1
Matrix = linalg.inv(eye(25)-Q)
# B = M*R
B = Matrix*R
#print B
count = []
for i in Matrix:
sum =0
for m in i:
sum = sum + m
count.append(sum)
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