Hi,
I have below matrix:
10.0 20.0 55.0 15.0 102.0 90.0
20.7 10.0 58.5 10.8 120.3 89.6
9.00 35.9 38.3 16.8 89.6 96.3
13.2 38.6 42.8 5.40 63.5 95.4
I want to know the optimal combination of column1~4 which yield smaller values in column5, and higher value in column6.
Column 1~4 is the combination (in percentage), column 5~6 are the performance indexes.
  1. Criterion of optimum(good performance): The column 5 should be smaller, and column6 should be higher. How to know which combination (column1~4) yield the good results
  2. How to use "bruit force method"

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Star Strider
Star Strider 2017년 5월 13일

0 개 추천

How do you calculate the performance indices from the first four columns?
To find the linear regression parameters for example:
M = [10.0 20.0 55.0 15.0
20.7 10.0 58.5 10.8
9.00 35.9 38.3 16.8
13.2 38.6 42.8 5.40];
C5 = [102.0; 120.3; 89.6; 63.5];
C6 = [90.0; 89.6; 96.3; 94.4];
B5 = M\C5; % Parameters For The Current Column #5
B6 = M\C6; % Parameters For The Current Column #6

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Kanakaiah Jakkula
Kanakaiah Jakkula 2017년 5월 13일
Column 5 & 6 are not calculated from column1~4(in fact they are retrive from tool). Can brute force method help(how to use it?
Star Strider
Star Strider 2017년 5월 13일
What tool?
What does the tool do internally to calculate the values you want?
If it does not use columns 1-4, what does it use as its inputs? How do columns 1-4 relate to all this?
Kanakaiah Jakkula
Kanakaiah Jakkula 2017년 5월 14일
Sir, Column1~4 is combination we set, and we check do some characterization. Column1~4 is inputs, and column5~6 are outcomes. I want to check for optimal combination. Colum5&6 indirectly rely on column 1~4, but the column5&6 are not computed from column1~4.
Star Strider
Star Strider 2017년 5월 14일
I am completely lost.
Kanakaiah Jakkula
Kanakaiah Jakkula 2017년 5월 14일
Sir,
column 5&6 ofcourse depends on column1~4, but not calculated using column1~4. But column5&6 are strongly depends on column1~4.
Star Strider
Star Strider 2017년 5월 14일
That does not tell me anything useful.
I will delete my Answer in a few hours.

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2017년 5월 13일

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2017년 5월 14일

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