Why do we take 4,5 and 5,13 instead of 4,6 and 13,15?

  • Thread starter Thread starter tomekrx
  • Start date Start date
  • Tags Tags
    Method Qm
AI Thread Summary
The discussion focuses on the Quine-McCluskey (QM) method for minimizing boolean functions, specifically questioning why certain minterms (4,5 and 5,13) are chosen over others (4,6 and 13,15). The reasoning involves analyzing the common bits between the pairs, with 4,5 and 5,13 sharing more significant bit variations compared to 4,6 and 13,15. The essential prime implicant chart is discussed, highlighting how to identify essential minterms based on unique coverage in the chart. The conversation also touches on the necessity of combining essential and non-essential prime implicants to cover all minterms effectively. Understanding these principles is crucial for applying the QM method successfully in boolean minimization.
tomekrx
Messages
1
Reaction score
0
Homework Statement
Quine McCluskey (QM) Method
Relevant Equations
little problem
Hello,
can anyone tell me why do we take 4,5 and 5,13 instead of 4,6 and 13,15?Thats QM method
241172
 
Physics news on Phys.org
The wikipedia article summarizes it pretty well:

https://en.wikipedia.org/wiki/Quine–McCluskey_algorithm

Not really understanding how it works yet, could the choices be due to fewer bit variations?

basically 4,5 is ##(0 1 0 -)## and 5,13 is ##(- 1 0 1)## with the middle bits ##(-10-)## in common to both?

whereas 4,6 which is ##(01-0)## and 13,15 is ##(11-1)## only have the ##(-1--)## bit in common.

from the wikipedia article above:
Step 2: prime implicant chart[edit]
None of the terms can be combined any further than this, so at this point we construct an essential prime implicant table. Along the side goes the prime implicants that have just been generated, and along the top go the minterms specified earlier. The don't care terms are not placed on top—they are omitted from this section because they are not necessary inputs.

4810111215ABCD
m(4,12)*
13px-Dark_Red_x.svg.png
13px-Dark_Red_x.svg.png
100
m(8,9,10,11)
13px-Dark_Red_x.svg.png
13px-Dark_Red_x.svg.png
13px-Dark_Red_x.svg.png
10
m(8,10,12,14)
13px-Dark_Red_x.svg.png
13px-Dark_Red_x.svg.png
13px-Dark_Red_x.svg.png
10
m(10,11,14,15)*
13px-Dark_Red_x.svg.png
13px-Dark_Red_x.svg.png
13px-Dark_Red_x.svg.png
11
To find the essential prime implicants, we run along the top row. We have to look for columns with only 1 "X". If a column has only 1 "X", this means that the minterm can only be covered by 1 prime implicant. This prime implicant is essential.

For example: in the first column, with minterm 4, there is only 1 "X". This means that m(4,12) is essential. So we place a star next to it. Minterm 15 also has only 1 "X", so m(10,11,14,15) is also essential. Now all columns with 1 "X" are covered.

The second prime implicant can be 'covered' by the third and fourth, and the third prime implicant can be 'covered' by the second and first, and neither is thus essential. If a prime implicant is essential then, as would be expected, it is necessary to include it in the minimized boolean equation. In some cases, the essential prime implicants do not cover all minterms, in which case additional procedures for chart reduction can be employed. The simplest "additional procedure" is trial and error, but a more systematic way is Petrick's method. In the current example, the essential prime implicants do not handle all of the minterms, so, in this case, one can combine the essential implicants with one of the two non-essential ones to yield one equation:

{\displaystyle f_{A,B,C,D}=BC'D'+AB'+AC\ }
f_{A,B,C,D} = BC'D' + AB' + AC \
[11]
or

{\displaystyle f_{A,B,C,D}=BC'D'+AD'+AC\ }
{\displaystyle f_{A,B,C,D}=BC'D'+AD'+AC\ }

Both of those final equations are functionally equivalent to the original, verbose equation:

{\displaystyle f_{A,B,C,D}=A'BC'D'+AB'C'D'+AB'C'D+AB'CD'+AB'CD+ABC'D'+ABCD'+ABCD.\ }
f_{A,B,C,D} = A'BC'D' + AB'C'D' + AB'C'D + AB'CD' + AB'CD + ABC'D' + ABCD' + ABCD. \
 

Similar threads

Replies
12
Views
704
Replies
11
Views
3K
Replies
5
Views
2K
Replies
7
Views
2K
Replies
127
Views
11K
Replies
26
Views
3K
Replies
23
Views
4K
Back
Top