SlideShare a Scribd company logo
Minimización de
funciones Booleanas
• Manipulación Algebraica
• Mapas de Karnaugh
Manipulación Algebraica
• Factorización
• Duplicando un termino ya existente
• Teorema del consenso
• Propiedad distributiva
• Identidades
• Teorema de Dmorgan
Mapas de Karnaugh
Factorización
Manipulación Algebraica
Factor común B
m
A B F
0
0 0 0
1
0 1 1
2
1 0 0
3
1 1 1
Factorización
m
A B F
0
0 0 0
1
0 1 1
2
1 0 0
3
1 1 1
F(A,B)=AB+AB = B
la Factorización se efectúa cuando solo
cambia una variable entre dos términos
y esta variable se elimina
m S P E CS CP CE
0 0 0 0 0 0 0
1 0 0 1 0 0 1
2 0 1 0 0 1 0
3 0 1 1 0 1 0
4 1 0 0 1 0 0
5 1 0 1 1 0 0
6 1 1 0 1 0 0
7 1 1 1 1 0 0
CS (S, P, E ) =
m S P E CS CP CE
0 0 0 0 0 0 0
1 0 0 1 0 0 1
2 0 1 0 0 1 0
3 0 1 1 0 1 0
4 1 0 0 1 0 0
5 1 0 1 1 0 0
6 1 1 0 1 0 0
7 1 1 1 1 0 0
CS (S, P, E ) = S P’ E’
m S P E CS CP CE
0 0 0 0 0 0 0
1 0 0 1 0 0 1
2 0 1 0 0 1 0
3 0 1 1 0 1 0
4 1 0 0 1 0 0
5 1 0 1 1 0 0
6 1 1 0 1 0 0
7 1 1 1 1 0 0
CS (S, P, E ) = S P’ E’ + S P’ E
m S P E CS CP CE
0 0 0 0 0 0 0
1 0 0 1 0 0 1
2 0 1 0 0 1 0
3 0 1 1 0 1 0
4 1 0 0 1 0 0
5 1 0 1 1 0 0
6 1 1 0 1 0 0
7 1 1 1 1 0 0
CS (S, P, E ) = S P’ E’ + S P’ E + S P E’
m S P E CS CP CE
0 0 0 0 0 0 0
1 0 0 1 0 0 1
2 0 1 0 0 1 0
3 0 1 1 0 1 0
4 1 0 0 1 0 0
5 1 0 1 1 0 0
6 1 1 0 1 0 0
7 1 1 1 1 0 0
CS (S, P, E ) = S P’ E’ + S P’ E + S P E’ + S P E
CS (S, P, E ) = S P’ E’ + S P’ E + S P E’ + S P E
CS (S, P, E ) = S P’ (E’+E)+ S P (E’+E)
CS (S, P, E ) = S P’ + S P
CS (S, P, E ) = S (P’+P)
CS (S, P, E ) = S
m S P E CS CP CE
0 0 0 0 0 0 0
1 0 0 1 0 0 1
2 0 1 0 0 1 0
3 0 1 1 0 1 0
4 1 0 0 1 0 0
5 1 0 1 1 0 0
6 1 1 0 1 0 0
7 1 1 1 1 0 0
CS (S, P, E ) = S P’ E’ + S P’ E + S P E’ + S P E
CS (S,) = S
m S P E CS CP CE
0 0 0 0 0 0 0
1 0 0 1 0 0 1
2 0 1 0 0 1 0
3 0 1 1 0 1 0
4 1 0 0 1 0 0
5 1 0 1 1 0 0
6 1 1 0 1 0 0
7 1 1 1 1 0 0
CS (S, P, E ) = S P’ E’ + S P’ E + S P E’ + S P E = S
CS (S,) = S
m S P E CS CP CE
0 0 0 0 0 0 0
1 0 0 1 0 0 1
2 0 1 0 0 1 0
3 0 1 1 0 1 0
4 1 0 0 1 0 0
5 1 0 1 1 0 0
6 1 1 0 1 0 0
7 1 1 1 1 0 0
CP (S, P, E ) = S’ P E’ + S’ P E
CP (S, P, E ) = S’ P (E’+E)
CP (S, P, E ) = S’ P
CP (S, P ) = S’ P
Duplicando un termino ya existente
F= A + B
m A B C X
0 0 0 0 1
1 0 0 1 1
2 0 1 0 1
3 0 1 1 0
4 1 0 0 0
5 1 0 1 0
6 1 1 0 0
7 1 1 1 0
FX (A,B,C) = A’ B’ C’ + A’ B’ C + A’ B C’
FX (A,B,C) = A’ B’ C’ + A’ B’ C
+ A’ B C’ + A’ B’ C’
FX (A,B,C) = A’ B’ + A’ C’
FX (A,B,C) = A’ (B’ + C’)
S(A,B,C,D)= A’B’C'+ A’B’CS(A,B,C,D)= A’B’CS(A,B,C,D)= A’B’C'+ A’B’C + AB’C' +’BC'D'S(A,B,C,D)= A’B’C'+ A’B’C + AB’C'
M A B C D S
0 0 0 0 0 1
1 0 0 0 1 1
2 0 0 1 0 1
3 0 0 1 1 1
4 0 1 0 0 1
5 0 1 0 1 0
6 0 1 1 0 0
7 0 1 1 1 0
8 1 0 0 0 1
9 1 0 0 1 1
10 1 0 1 0 0
11 1 0 1 1 0
12 1 1 0 0 1
13 1 1 0 1 0
14 1 1 1 0 0
15 1 1 1 1 0
S(A,B,C,D)= A'B' + B'C' + C'D'
S(A,B,C,D)= A’B’C'D'+ A’B’C'D + A’B’CD'+A’B’CD
+A’BC'D' + AB’C'D' + AB’C'D + ABC'D'
0 1 2 3
4 8 9 12
0-1 2-3 8-9 4-12
S(A,B,C,D)= B’C'+ A’B’ + +’BC'D'
0-1, 8-9 0-1, 2,3
Teorema del consenso
m. Acuerdo producido por consentimiento entre todos
los miembros de un grupo o entre varios grupos.
Teorema del consenso
Teorema del consenso
1
1
1
1
1
Teorema del consenso
Propiedad Distributiva
Propiedad Distributiva
F= A’ B + A B’ + A B + A’ C’
F= B + A + A’ C’
F= B + (A+ A’)(A+ C’)
F= B + A+ C’ F= A+B+C’
Actividad
Usando como recursos
• Factorización
• Duplicando un termino ya existente
• Teorema del consenso
• Propiedad distributiva
• Identidades
• Teorema de Dmorgan
Resuelva las siguientes funciones
1.-Identidades
2.- Factorización
AB’ + AB = A(B’+B)= A
3.- Propiedad Distributiva
X+YZ = (X+Y) (X+Z)
X (Y+Z) = XY +XZ
4.-Teorema del consenso
AB+A’C+BC = AB+A’C
5.-Teorema de Dmorgan
(AB)’=A’+ B’ (A+B)’=A’ B’
A+B =(A’ B’)’ AB =(A’+B’)’
AND OR
A A=A A + A=A
A 0 =0 A + 0 = A
A 1 =A A + 1 =1
A A’ =0 A+A’ =1 1
1+ B’+ C
2
DC’(0)
3
A’+B+A
4
A+ A’ BC
5
A’BC+A’BC’
F1 (B,C)= 1+B’+C
F1 (B,C)= 1
1.-Identidades
2.- Factorización
AB’ + AB = A(B’+B)= A
3.- Propiedad Distributiva
X+YZ = (X+Y) (X+Z)
X (Y+Z) = XY +XZ
4.-Teorema del consenso
AB+A’C+BC = AB+A’C
5.-Teorema de Dmorgan
(AB)’=A’+ B’ (A+B)’=A’ B’
A+B =(A’ B’)’ AB =(A’+B’)’
AND OR
A A=A A + A=A
A 0 =0 A + 0 = A
A 1 =A A + 1 =1
A A’ =0 A+A’ =1
F2 (D,C)= DC’(0)
F2 (D,C)= 0
1.-Identidades
2.- Factorización
AB’ + AB = A(B’+B)= A
3.- Propiedad Distributiva
X+YZ = (X+Y) (X+Z)
X (Y+Z) = XY +XZ
4.-Teorema del consenso
AB+A’C+BC = AB+A’C
5.-Teorema de Dmorgan
(AB)’=A’+ B’ (A+B)’=A’ B’
A+B =(A’ B’)’ AB =(A’+B’)’
AND OR
A A=A A + A=A
A 0 =0 A + 0 = A
A 1 =A A + 1 =1
A A’ =0 A+A’ =1
F3 (A, B) = A’+B+A
F3 (A, B) = 1
1.-Identidades
2.- Factorización
AB’ + AB = A(B’+B)= A
3.- Propiedad Distributiva
X+YZ = (X+Y) (X+Z)
X (Y+Z) = XY +XZ
4.-Teorema del consenso
AB+A’C+BC = AB+A’C
5.-Teorema de Dmorgan
(AB)’=A’+ B’ (A+B)’=A’ B’
A+B =(A’ B’)’ AB =(A’+B’)’
AND OR
A A=A A + A=A
A 0 =0 A + 0 = A
A 1 =A A + 1 =1
A A’ =0 A+A’ =1
F4 (A,,B,C) = A+A’BC
F4 (A,,B,C)=(A+A’)(A+BC)
F4 (A,,B,C)=A+BC
1.-Identidades
2.- Factorización
AB’ + AB = A(B’+B)= A
3.- Propiedad Distributiva
X+YZ = (X+Y) (X+Z)
X (Y+Z) = XY +XZ
4.-Teorema del consenso
AB+A’C+BC = AB+A’C
5.-Teorema de Dmorgan
(AB)’=A’+ B’ (A+B)’=A’ B’
A+B =(A’ B’)’ AB =(A’+B’)’
AND OR
A A=A A + A=A
A 0 =0 A + 0 = A
A 1 =A A + 1 =1
A A’ =0 A+A’ =1

More Related Content

What's hot

Period 4 Quadratic Funtions
Period 4 Quadratic FuntionsPeriod 4 Quadratic Funtions
Period 4 Quadratic Funtionsingroy
 
Quadratic Functions
Quadratic FunctionsQuadratic Functions
Quadratic Functionsingroy
 
Fungsi dan Grafik Fungsi Trigonometri
Fungsi dan Grafik Fungsi TrigonometriFungsi dan Grafik Fungsi Trigonometri
Fungsi dan Grafik Fungsi Trigonometri
Aururia Begi Wiwiet Rambang
 
13. sum and double half-angle formulas-x
13. sum and double half-angle formulas-x13. sum and double half-angle formulas-x
13. sum and double half-angle formulas-x
math260
 
9. sum and double half-angle formulas-x
9. sum and double half-angle  formulas-x9. sum and double half-angle  formulas-x
9. sum and double half-angle formulas-x
harbormath240
 
Anvxkj9758u82puhhft
Anvxkj9758u82puhhftAnvxkj9758u82puhhft
Anvxkj9758u82puhhftmimo Mimi
 
Ellipse presentation
Ellipse presentationEllipse presentation
Ellipse presentation
7ahmed86
 
Heron’s formula
Heron’s formulaHeron’s formula
Heron’s formula
stephy1234
 
16. simplificar funciones
16. simplificar funciones16. simplificar funciones
16. simplificar funciones
ClauFdzSrz
 

What's hot (11)

Algebra de bool
Algebra de boolAlgebra de bool
Algebra de bool
 
Period 4 Quadratic Funtions
Period 4 Quadratic FuntionsPeriod 4 Quadratic Funtions
Period 4 Quadratic Funtions
 
Quadratic Functions
Quadratic FunctionsQuadratic Functions
Quadratic Functions
 
Fungsi dan Grafik Fungsi Trigonometri
Fungsi dan Grafik Fungsi TrigonometriFungsi dan Grafik Fungsi Trigonometri
Fungsi dan Grafik Fungsi Trigonometri
 
13. sum and double half-angle formulas-x
13. sum and double half-angle formulas-x13. sum and double half-angle formulas-x
13. sum and double half-angle formulas-x
 
9. sum and double half-angle formulas-x
9. sum and double half-angle  formulas-x9. sum and double half-angle  formulas-x
9. sum and double half-angle formulas-x
 
Anvxkj9758u82puhhft
Anvxkj9758u82puhhftAnvxkj9758u82puhhft
Anvxkj9758u82puhhft
 
Ellipse presentation
Ellipse presentationEllipse presentation
Ellipse presentation
 
RM FUNCIONAL
RM FUNCIONALRM FUNCIONAL
RM FUNCIONAL
 
Heron’s formula
Heron’s formulaHeron’s formula
Heron’s formula
 
16. simplificar funciones
16. simplificar funciones16. simplificar funciones
16. simplificar funciones
 

Viewers also liked

Researching genres1
Researching genres1Researching genres1
Researching genres1TCH4LK
 
Present Perfect vs. Past Simple
Present Perfect vs. Past SimplePresent Perfect vs. Past Simple
Present Perfect vs. Past Simple
Sawsan Ali
 
Empleos
EmpleosEmpleos
Prep 2 Worksheet Hello 6+7+8
Prep 2 Worksheet Hello 6+7+8Prep 2 Worksheet Hello 6+7+8
Prep 2 Worksheet Hello 6+7+8
Sawsan Ali
 
letter of recommendation 2
letter of recommendation 2letter of recommendation 2
letter of recommendation 2Alexander Avanth
 
School lib workshop info overload
School lib workshop info overloadSchool lib workshop info overload
School lib workshop info overload
Heather Braum
 
Zamora pinda
Zamora pindaZamora pinda
Zamora pinda
Ulises Armstrong
 
Erasmus
ErasmusErasmus
Erasmus
Adeline Bossu
 
O que é um azimute 1
O que é um azimute 1O que é um azimute 1
O que é um azimute 1gravanadas
 
Museu da electricidade
Museu da electricidadeMuseu da electricidade
Museu da electricidade
Jose Pinto Cardoso
 
25 aniversario petrolart Audi Motor Gomez - Ecoarte - Ecoart
25 aniversario petrolart  Audi Motor Gomez - Ecoarte - Ecoart25 aniversario petrolart  Audi Motor Gomez - Ecoarte - Ecoart
25 aniversario petrolart Audi Motor Gomez - Ecoarte - Ecoart
Jimmy Pons
 
2016 02 26 conversasporsol
2016 02 26 conversasporsol2016 02 26 conversasporsol
2016 02 26 conversasporsol
Biblioteca Escolar Aeob
 
Managing Professional Information Overload (K12 Version)
Managing Professional Information Overload (K12 Version)Managing Professional Information Overload (K12 Version)
Managing Professional Information Overload (K12 Version)
Heather Braum
 
Shaw Academy Personal Nutrition Certificate - April 2016
Shaw Academy Personal Nutrition Certificate - April 2016Shaw Academy Personal Nutrition Certificate - April 2016
Shaw Academy Personal Nutrition Certificate - April 2016Karen Taylor
 
Presentation Interculturality eMOOC2016
Presentation Interculturality eMOOC2016Presentation Interculturality eMOOC2016
Presentation Interculturality eMOOC2016
Adeline Bossu
 

Viewers also liked (16)

Researching genres1
Researching genres1Researching genres1
Researching genres1
 
Gost 8320.11 83
 Gost 8320.11 83 Gost 8320.11 83
Gost 8320.11 83
 
Present Perfect vs. Past Simple
Present Perfect vs. Past SimplePresent Perfect vs. Past Simple
Present Perfect vs. Past Simple
 
Empleos
EmpleosEmpleos
Empleos
 
Prep 2 Worksheet Hello 6+7+8
Prep 2 Worksheet Hello 6+7+8Prep 2 Worksheet Hello 6+7+8
Prep 2 Worksheet Hello 6+7+8
 
letter of recommendation 2
letter of recommendation 2letter of recommendation 2
letter of recommendation 2
 
School lib workshop info overload
School lib workshop info overloadSchool lib workshop info overload
School lib workshop info overload
 
Zamora pinda
Zamora pindaZamora pinda
Zamora pinda
 
Erasmus
ErasmusErasmus
Erasmus
 
O que é um azimute 1
O que é um azimute 1O que é um azimute 1
O que é um azimute 1
 
Museu da electricidade
Museu da electricidadeMuseu da electricidade
Museu da electricidade
 
25 aniversario petrolart Audi Motor Gomez - Ecoarte - Ecoart
25 aniversario petrolart  Audi Motor Gomez - Ecoarte - Ecoart25 aniversario petrolart  Audi Motor Gomez - Ecoarte - Ecoart
25 aniversario petrolart Audi Motor Gomez - Ecoarte - Ecoart
 
2016 02 26 conversasporsol
2016 02 26 conversasporsol2016 02 26 conversasporsol
2016 02 26 conversasporsol
 
Managing Professional Information Overload (K12 Version)
Managing Professional Information Overload (K12 Version)Managing Professional Information Overload (K12 Version)
Managing Professional Information Overload (K12 Version)
 
Shaw Academy Personal Nutrition Certificate - April 2016
Shaw Academy Personal Nutrition Certificate - April 2016Shaw Academy Personal Nutrition Certificate - April 2016
Shaw Academy Personal Nutrition Certificate - April 2016
 
Presentation Interculturality eMOOC2016
Presentation Interculturality eMOOC2016Presentation Interculturality eMOOC2016
Presentation Interculturality eMOOC2016
 

Similar to Métodos de simplificación

Sop and pos
Sop and posSop and pos
Sop and pos
shubhamprajapat23
 
Simplificar funciones.ppt
Simplificar funciones.pptSimplificar funciones.ppt
Simplificar funciones.ppt
Marcos Rdguez
 
SIMPLIFICACION DE FUNCIONES BOOLEANAS
SIMPLIFICACION DE FUNCIONES BOOLEANASSIMPLIFICACION DE FUNCIONES BOOLEANAS
SIMPLIFICACION DE FUNCIONES BOOLEANAS
PEDROASTURES21
 
9. simplificar funciones
9. simplificar funciones9. simplificar funciones
9. simplificar funciones
Justino Cat
 
boolean algebra exercises
boolean algebra exercisesboolean algebra exercises
boolean algebra exercises
i i
 
16. simplificar funciones
16. simplificar funciones16. simplificar funciones
16. simplificar funciones
MiguelBG11
 
16. simplificar funciones
16. simplificar funciones16. simplificar funciones
16. simplificar funciones
sonsolesbar
 
Simplificar funciones
Simplificar funcionesSimplificar funciones
Simplificar funciones
candebobes
 
16. simplificar funciones
16. simplificar funciones16. simplificar funciones
16. simplificar funciones
estefaniagomezdelcueto
 
Simplificación de funciones lógicas
Simplificación de funciones lógicasSimplificación de funciones lógicas
Simplificación de funciones lógicas
lauracruzpal
 
simplificar funciones
 simplificar funciones simplificar funciones
simplificar funciones
joeltecno9
 
Ch4 Boolean Algebra And Logic Simplication1
Ch4 Boolean Algebra And Logic Simplication1Ch4 Boolean Algebra And Logic Simplication1
Ch4 Boolean Algebra And Logic Simplication1Qundeel
 
Kuliah 3 Sistem Digital.pptx
Kuliah 3 Sistem Digital.pptxKuliah 3 Sistem Digital.pptx
Kuliah 3 Sistem Digital.pptx
TakaQiYazuru1
 
kmaps
 kmaps kmaps
kmaps
Unsa Shakir
 
Digital-Logic40124sequential circuits logic gatepptx
Digital-Logic40124sequential circuits logic gatepptxDigital-Logic40124sequential circuits logic gatepptx
Digital-Logic40124sequential circuits logic gatepptx
ssuser6feece1
 
Gli Infiniti Valori Derivanti dalla Frazione 1 su 6 - Cinque Formule - Molte ...
Gli Infiniti Valori Derivanti dalla Frazione 1 su 6 - Cinque Formule - Molte ...Gli Infiniti Valori Derivanti dalla Frazione 1 su 6 - Cinque Formule - Molte ...
Gli Infiniti Valori Derivanti dalla Frazione 1 su 6 - Cinque Formule - Molte ...
Ist. Superiore Marini-Gioia - Enzo Exposyto
 
Trigonometric ratios and identities 1
Trigonometric ratios and identities 1Trigonometric ratios and identities 1
Trigonometric ratios and identities 1
Sudersana Viswanathan
 

Similar to Métodos de simplificación (20)

Sop and pos
Sop and posSop and pos
Sop and pos
 
Simplificar funciones.ppt
Simplificar funciones.pptSimplificar funciones.ppt
Simplificar funciones.ppt
 
SIMPLIFICACION DE FUNCIONES BOOLEANAS
SIMPLIFICACION DE FUNCIONES BOOLEANASSIMPLIFICACION DE FUNCIONES BOOLEANAS
SIMPLIFICACION DE FUNCIONES BOOLEANAS
 
9. simplificar funciones
9. simplificar funciones9. simplificar funciones
9. simplificar funciones
 
boolean algebra exercises
boolean algebra exercisesboolean algebra exercises
boolean algebra exercises
 
16. simplificar funciones
16. simplificar funciones16. simplificar funciones
16. simplificar funciones
 
16. simplificar funciones
16. simplificar funciones16. simplificar funciones
16. simplificar funciones
 
Simplificar funciones
Simplificar funcionesSimplificar funciones
Simplificar funciones
 
16. simplificar funciones
16. simplificar funciones16. simplificar funciones
16. simplificar funciones
 
Simplificación de funciones lógicas
Simplificación de funciones lógicasSimplificación de funciones lógicas
Simplificación de funciones lógicas
 
simplificar funciones
 simplificar funciones simplificar funciones
simplificar funciones
 
Boolean algebra
Boolean algebraBoolean algebra
Boolean algebra
 
Ch4 Boolean Algebra And Logic Simplication1
Ch4 Boolean Algebra And Logic Simplication1Ch4 Boolean Algebra And Logic Simplication1
Ch4 Boolean Algebra And Logic Simplication1
 
Kuliah 3 Sistem Digital.pptx
Kuliah 3 Sistem Digital.pptxKuliah 3 Sistem Digital.pptx
Kuliah 3 Sistem Digital.pptx
 
kmaps
 kmaps kmaps
kmaps
 
Digital-Logic40124sequential circuits logic gatepptx
Digital-Logic40124sequential circuits logic gatepptxDigital-Logic40124sequential circuits logic gatepptx
Digital-Logic40124sequential circuits logic gatepptx
 
Trigo functions
Trigo functionsTrigo functions
Trigo functions
 
Gli Infiniti Valori Derivanti dalla Frazione 1 su 6 - Cinque Formule - Molte ...
Gli Infiniti Valori Derivanti dalla Frazione 1 su 6 - Cinque Formule - Molte ...Gli Infiniti Valori Derivanti dalla Frazione 1 su 6 - Cinque Formule - Molte ...
Gli Infiniti Valori Derivanti dalla Frazione 1 su 6 - Cinque Formule - Molte ...
 
Chapter-3.ppt
Chapter-3.pptChapter-3.ppt
Chapter-3.ppt
 
Trigonometric ratios and identities 1
Trigonometric ratios and identities 1Trigonometric ratios and identities 1
Trigonometric ratios and identities 1
 

More from lauracruzpal

Problema aviones
Problema avionesProblema aviones
Problema aviones
lauracruzpal
 
Sistema combinacional no especificado(ascensor,monedas)
Sistema combinacional no especificado(ascensor,monedas)Sistema combinacional no especificado(ascensor,monedas)
Sistema combinacional no especificado(ascensor,monedas)
lauracruzpal
 
Elemplo ovejas
Elemplo ovejasElemplo ovejas
Elemplo ovejas
lauracruzpal
 
Ejemplo de semáforo
Ejemplo de  semáforoEjemplo de  semáforo
Ejemplo de semáforo
lauracruzpal
 
Leyes de Morgan
Leyes de MorganLeyes de Morgan
Leyes de Morgan
lauracruzpal
 
Mapas de karnaught
Mapas de karnaughtMapas de karnaught
Mapas de karnaught
lauracruzpal
 
Control semaforico
Control semaforicoControl semaforico
Control semaforico
lauracruzpal
 
Álgebra booleana
Álgebra booleanaÁlgebra booleana
Álgebra booleana
lauracruzpal
 
Funciones de las puertas lógicas
Funciones de las puertas lógicasFunciones de las puertas lógicas
Funciones de las puertas lógicas
lauracruzpal
 
Puertas lógicas
Puertas lógicasPuertas lógicas
Puertas lógicas
lauracruzpal
 
Conversión sistemas numericos
Conversión sistemas numericosConversión sistemas numericos
Conversión sistemas numericos
lauracruzpal
 
Cambios de base
Cambios de baseCambios de base
Cambios de base
lauracruzpal
 
Conversiones entre sistemas numéricos
Conversiones entre sistemas numéricosConversiones entre sistemas numéricos
Conversiones entre sistemas numéricos
lauracruzpal
 
Sistemas numéricos
Sistemas numéricosSistemas numéricos
Sistemas numéricos
lauracruzpal
 
Sistemas de numeracion
Sistemas de numeracionSistemas de numeracion
Sistemas de numeracion
lauracruzpal
 
8. sist analogicos-digitales
8. sist analogicos-digitales8. sist analogicos-digitales
8. sist analogicos-digitales
lauracruzpal
 
Semiconductores
SemiconductoresSemiconductores
Semiconductores
lauracruzpal
 
Mas de electrónica analógica
Mas de electrónica analógicaMas de electrónica analógica
Mas de electrónica analógica
lauracruzpal
 
Electrónica analogica
Electrónica analogicaElectrónica analogica
Electrónica analogica
lauracruzpal
 
Componentes electronicos
Componentes electronicosComponentes electronicos
Componentes electronicos
lauracruzpal
 

More from lauracruzpal (20)

Problema aviones
Problema avionesProblema aviones
Problema aviones
 
Sistema combinacional no especificado(ascensor,monedas)
Sistema combinacional no especificado(ascensor,monedas)Sistema combinacional no especificado(ascensor,monedas)
Sistema combinacional no especificado(ascensor,monedas)
 
Elemplo ovejas
Elemplo ovejasElemplo ovejas
Elemplo ovejas
 
Ejemplo de semáforo
Ejemplo de  semáforoEjemplo de  semáforo
Ejemplo de semáforo
 
Leyes de Morgan
Leyes de MorganLeyes de Morgan
Leyes de Morgan
 
Mapas de karnaught
Mapas de karnaughtMapas de karnaught
Mapas de karnaught
 
Control semaforico
Control semaforicoControl semaforico
Control semaforico
 
Álgebra booleana
Álgebra booleanaÁlgebra booleana
Álgebra booleana
 
Funciones de las puertas lógicas
Funciones de las puertas lógicasFunciones de las puertas lógicas
Funciones de las puertas lógicas
 
Puertas lógicas
Puertas lógicasPuertas lógicas
Puertas lógicas
 
Conversión sistemas numericos
Conversión sistemas numericosConversión sistemas numericos
Conversión sistemas numericos
 
Cambios de base
Cambios de baseCambios de base
Cambios de base
 
Conversiones entre sistemas numéricos
Conversiones entre sistemas numéricosConversiones entre sistemas numéricos
Conversiones entre sistemas numéricos
 
Sistemas numéricos
Sistemas numéricosSistemas numéricos
Sistemas numéricos
 
Sistemas de numeracion
Sistemas de numeracionSistemas de numeracion
Sistemas de numeracion
 
8. sist analogicos-digitales
8. sist analogicos-digitales8. sist analogicos-digitales
8. sist analogicos-digitales
 
Semiconductores
SemiconductoresSemiconductores
Semiconductores
 
Mas de electrónica analógica
Mas de electrónica analógicaMas de electrónica analógica
Mas de electrónica analógica
 
Electrónica analogica
Electrónica analogicaElectrónica analogica
Electrónica analogica
 
Componentes electronicos
Componentes electronicosComponentes electronicos
Componentes electronicos
 

Recently uploaded

RESUME BUILDER APPLICATION Project for students
RESUME BUILDER APPLICATION Project for studentsRESUME BUILDER APPLICATION Project for students
RESUME BUILDER APPLICATION Project for students
KAMESHS29
 
Free Complete Python - A step towards Data Science
Free Complete Python - A step towards Data ScienceFree Complete Python - A step towards Data Science
Free Complete Python - A step towards Data Science
RinaMondal9
 
Video Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the FutureVideo Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the Future
Alpen-Adria-Universität
 
A tale of scale & speed: How the US Navy is enabling software delivery from l...
A tale of scale & speed: How the US Navy is enabling software delivery from l...A tale of scale & speed: How the US Navy is enabling software delivery from l...
A tale of scale & speed: How the US Navy is enabling software delivery from l...
sonjaschweigert1
 
FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf
FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdfFIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf
FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf
FIDO Alliance
 
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdfFIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance
 
FIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdfFIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance
 
Essentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FMEEssentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FME
Safe Software
 
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex Proofs
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex ProofszkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex Proofs
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex Proofs
Alex Pruden
 
Generative AI Deep Dive: Advancing from Proof of Concept to Production
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionGenerative AI Deep Dive: Advancing from Proof of Concept to Production
Generative AI Deep Dive: Advancing from Proof of Concept to Production
Aggregage
 
Removing Uninteresting Bytes in Software Fuzzing
Removing Uninteresting Bytes in Software FuzzingRemoving Uninteresting Bytes in Software Fuzzing
Removing Uninteresting Bytes in Software Fuzzing
Aftab Hussain
 
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
Sri Ambati
 
Epistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI supportEpistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI support
Alan Dix
 
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
DanBrown980551
 
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
James Anderson
 
Securing your Kubernetes cluster_ a step-by-step guide to success !
Securing your Kubernetes cluster_ a step-by-step guide to success !Securing your Kubernetes cluster_ a step-by-step guide to success !
Securing your Kubernetes cluster_ a step-by-step guide to success !
KatiaHIMEUR1
 
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
Albert Hoitingh
 
GraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge GraphGraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge Graph
Guy Korland
 
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdf
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdfSAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdf
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdf
Peter Spielvogel
 
Pushing the limits of ePRTC: 100ns holdover for 100 days
Pushing the limits of ePRTC: 100ns holdover for 100 daysPushing the limits of ePRTC: 100ns holdover for 100 days
Pushing the limits of ePRTC: 100ns holdover for 100 days
Adtran
 

Recently uploaded (20)

RESUME BUILDER APPLICATION Project for students
RESUME BUILDER APPLICATION Project for studentsRESUME BUILDER APPLICATION Project for students
RESUME BUILDER APPLICATION Project for students
 
Free Complete Python - A step towards Data Science
Free Complete Python - A step towards Data ScienceFree Complete Python - A step towards Data Science
Free Complete Python - A step towards Data Science
 
Video Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the FutureVideo Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the Future
 
A tale of scale & speed: How the US Navy is enabling software delivery from l...
A tale of scale & speed: How the US Navy is enabling software delivery from l...A tale of scale & speed: How the US Navy is enabling software delivery from l...
A tale of scale & speed: How the US Navy is enabling software delivery from l...
 
FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf
FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdfFIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf
FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf
 
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdfFIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
 
FIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdfFIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdf
 
Essentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FMEEssentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FME
 
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex Proofs
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex ProofszkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex Proofs
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex Proofs
 
Generative AI Deep Dive: Advancing from Proof of Concept to Production
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionGenerative AI Deep Dive: Advancing from Proof of Concept to Production
Generative AI Deep Dive: Advancing from Proof of Concept to Production
 
Removing Uninteresting Bytes in Software Fuzzing
Removing Uninteresting Bytes in Software FuzzingRemoving Uninteresting Bytes in Software Fuzzing
Removing Uninteresting Bytes in Software Fuzzing
 
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
 
Epistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI supportEpistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI support
 
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
 
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
 
Securing your Kubernetes cluster_ a step-by-step guide to success !
Securing your Kubernetes cluster_ a step-by-step guide to success !Securing your Kubernetes cluster_ a step-by-step guide to success !
Securing your Kubernetes cluster_ a step-by-step guide to success !
 
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
 
GraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge GraphGraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge Graph
 
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdf
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdfSAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdf
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdf
 
Pushing the limits of ePRTC: 100ns holdover for 100 days
Pushing the limits of ePRTC: 100ns holdover for 100 daysPushing the limits of ePRTC: 100ns holdover for 100 days
Pushing the limits of ePRTC: 100ns holdover for 100 days
 

Métodos de simplificación

  • 1. Minimización de funciones Booleanas • Manipulación Algebraica • Mapas de Karnaugh
  • 2. Manipulación Algebraica • Factorización • Duplicando un termino ya existente • Teorema del consenso • Propiedad distributiva • Identidades • Teorema de Dmorgan
  • 4. Factorización Manipulación Algebraica Factor común B m A B F 0 0 0 0 1 0 1 1 2 1 0 0 3 1 1 1
  • 5. Factorización m A B F 0 0 0 0 1 0 1 1 2 1 0 0 3 1 1 1 F(A,B)=AB+AB = B
  • 6. la Factorización se efectúa cuando solo cambia una variable entre dos términos y esta variable se elimina
  • 7.
  • 8.
  • 9. m S P E CS CP CE 0 0 0 0 0 0 0 1 0 0 1 0 0 1 2 0 1 0 0 1 0 3 0 1 1 0 1 0 4 1 0 0 1 0 0 5 1 0 1 1 0 0 6 1 1 0 1 0 0 7 1 1 1 1 0 0 CS (S, P, E ) =
  • 10. m S P E CS CP CE 0 0 0 0 0 0 0 1 0 0 1 0 0 1 2 0 1 0 0 1 0 3 0 1 1 0 1 0 4 1 0 0 1 0 0 5 1 0 1 1 0 0 6 1 1 0 1 0 0 7 1 1 1 1 0 0 CS (S, P, E ) = S P’ E’
  • 11. m S P E CS CP CE 0 0 0 0 0 0 0 1 0 0 1 0 0 1 2 0 1 0 0 1 0 3 0 1 1 0 1 0 4 1 0 0 1 0 0 5 1 0 1 1 0 0 6 1 1 0 1 0 0 7 1 1 1 1 0 0 CS (S, P, E ) = S P’ E’ + S P’ E
  • 12. m S P E CS CP CE 0 0 0 0 0 0 0 1 0 0 1 0 0 1 2 0 1 0 0 1 0 3 0 1 1 0 1 0 4 1 0 0 1 0 0 5 1 0 1 1 0 0 6 1 1 0 1 0 0 7 1 1 1 1 0 0 CS (S, P, E ) = S P’ E’ + S P’ E + S P E’
  • 13. m S P E CS CP CE 0 0 0 0 0 0 0 1 0 0 1 0 0 1 2 0 1 0 0 1 0 3 0 1 1 0 1 0 4 1 0 0 1 0 0 5 1 0 1 1 0 0 6 1 1 0 1 0 0 7 1 1 1 1 0 0 CS (S, P, E ) = S P’ E’ + S P’ E + S P E’ + S P E
  • 14. CS (S, P, E ) = S P’ E’ + S P’ E + S P E’ + S P E CS (S, P, E ) = S P’ (E’+E)+ S P (E’+E) CS (S, P, E ) = S P’ + S P CS (S, P, E ) = S (P’+P) CS (S, P, E ) = S
  • 15. m S P E CS CP CE 0 0 0 0 0 0 0 1 0 0 1 0 0 1 2 0 1 0 0 1 0 3 0 1 1 0 1 0 4 1 0 0 1 0 0 5 1 0 1 1 0 0 6 1 1 0 1 0 0 7 1 1 1 1 0 0 CS (S, P, E ) = S P’ E’ + S P’ E + S P E’ + S P E CS (S,) = S
  • 16. m S P E CS CP CE 0 0 0 0 0 0 0 1 0 0 1 0 0 1 2 0 1 0 0 1 0 3 0 1 1 0 1 0 4 1 0 0 1 0 0 5 1 0 1 1 0 0 6 1 1 0 1 0 0 7 1 1 1 1 0 0 CS (S, P, E ) = S P’ E’ + S P’ E + S P E’ + S P E = S CS (S,) = S
  • 17. m S P E CS CP CE 0 0 0 0 0 0 0 1 0 0 1 0 0 1 2 0 1 0 0 1 0 3 0 1 1 0 1 0 4 1 0 0 1 0 0 5 1 0 1 1 0 0 6 1 1 0 1 0 0 7 1 1 1 1 0 0 CP (S, P, E ) = S’ P E’ + S’ P E CP (S, P, E ) = S’ P (E’+E) CP (S, P, E ) = S’ P CP (S, P ) = S’ P
  • 18. Duplicando un termino ya existente F= A + B
  • 19. m A B C X 0 0 0 0 1 1 0 0 1 1 2 0 1 0 1 3 0 1 1 0 4 1 0 0 0 5 1 0 1 0 6 1 1 0 0 7 1 1 1 0 FX (A,B,C) = A’ B’ C’ + A’ B’ C + A’ B C’ FX (A,B,C) = A’ B’ C’ + A’ B’ C + A’ B C’ + A’ B’ C’ FX (A,B,C) = A’ B’ + A’ C’ FX (A,B,C) = A’ (B’ + C’)
  • 20. S(A,B,C,D)= A’B’C'+ A’B’CS(A,B,C,D)= A’B’CS(A,B,C,D)= A’B’C'+ A’B’C + AB’C' +’BC'D'S(A,B,C,D)= A’B’C'+ A’B’C + AB’C' M A B C D S 0 0 0 0 0 1 1 0 0 0 1 1 2 0 0 1 0 1 3 0 0 1 1 1 4 0 1 0 0 1 5 0 1 0 1 0 6 0 1 1 0 0 7 0 1 1 1 0 8 1 0 0 0 1 9 1 0 0 1 1 10 1 0 1 0 0 11 1 0 1 1 0 12 1 1 0 0 1 13 1 1 0 1 0 14 1 1 1 0 0 15 1 1 1 1 0 S(A,B,C,D)= A'B' + B'C' + C'D' S(A,B,C,D)= A’B’C'D'+ A’B’C'D + A’B’CD'+A’B’CD +A’BC'D' + AB’C'D' + AB’C'D + ABC'D' 0 1 2 3 4 8 9 12 0-1 2-3 8-9 4-12 S(A,B,C,D)= B’C'+ A’B’ + +’BC'D' 0-1, 8-9 0-1, 2,3
  • 21. Teorema del consenso m. Acuerdo producido por consentimiento entre todos los miembros de un grupo o entre varios grupos.
  • 27.
  • 28. F= A’ B + A B’ + A B + A’ C’ F= B + A + A’ C’ F= B + (A+ A’)(A+ C’) F= B + A+ C’ F= A+B+C’
  • 29. Actividad Usando como recursos • Factorización • Duplicando un termino ya existente • Teorema del consenso • Propiedad distributiva • Identidades • Teorema de Dmorgan Resuelva las siguientes funciones
  • 30. 1.-Identidades 2.- Factorización AB’ + AB = A(B’+B)= A 3.- Propiedad Distributiva X+YZ = (X+Y) (X+Z) X (Y+Z) = XY +XZ 4.-Teorema del consenso AB+A’C+BC = AB+A’C 5.-Teorema de Dmorgan (AB)’=A’+ B’ (A+B)’=A’ B’ A+B =(A’ B’)’ AB =(A’+B’)’ AND OR A A=A A + A=A A 0 =0 A + 0 = A A 1 =A A + 1 =1 A A’ =0 A+A’ =1 1 1+ B’+ C 2 DC’(0) 3 A’+B+A 4 A+ A’ BC 5 A’BC+A’BC’
  • 31. F1 (B,C)= 1+B’+C F1 (B,C)= 1 1.-Identidades 2.- Factorización AB’ + AB = A(B’+B)= A 3.- Propiedad Distributiva X+YZ = (X+Y) (X+Z) X (Y+Z) = XY +XZ 4.-Teorema del consenso AB+A’C+BC = AB+A’C 5.-Teorema de Dmorgan (AB)’=A’+ B’ (A+B)’=A’ B’ A+B =(A’ B’)’ AB =(A’+B’)’ AND OR A A=A A + A=A A 0 =0 A + 0 = A A 1 =A A + 1 =1 A A’ =0 A+A’ =1
  • 32. F2 (D,C)= DC’(0) F2 (D,C)= 0 1.-Identidades 2.- Factorización AB’ + AB = A(B’+B)= A 3.- Propiedad Distributiva X+YZ = (X+Y) (X+Z) X (Y+Z) = XY +XZ 4.-Teorema del consenso AB+A’C+BC = AB+A’C 5.-Teorema de Dmorgan (AB)’=A’+ B’ (A+B)’=A’ B’ A+B =(A’ B’)’ AB =(A’+B’)’ AND OR A A=A A + A=A A 0 =0 A + 0 = A A 1 =A A + 1 =1 A A’ =0 A+A’ =1
  • 33. F3 (A, B) = A’+B+A F3 (A, B) = 1 1.-Identidades 2.- Factorización AB’ + AB = A(B’+B)= A 3.- Propiedad Distributiva X+YZ = (X+Y) (X+Z) X (Y+Z) = XY +XZ 4.-Teorema del consenso AB+A’C+BC = AB+A’C 5.-Teorema de Dmorgan (AB)’=A’+ B’ (A+B)’=A’ B’ A+B =(A’ B’)’ AB =(A’+B’)’ AND OR A A=A A + A=A A 0 =0 A + 0 = A A 1 =A A + 1 =1 A A’ =0 A+A’ =1
  • 34. F4 (A,,B,C) = A+A’BC F4 (A,,B,C)=(A+A’)(A+BC) F4 (A,,B,C)=A+BC 1.-Identidades 2.- Factorización AB’ + AB = A(B’+B)= A 3.- Propiedad Distributiva X+YZ = (X+Y) (X+Z) X (Y+Z) = XY +XZ 4.-Teorema del consenso AB+A’C+BC = AB+A’C 5.-Teorema de Dmorgan (AB)’=A’+ B’ (A+B)’=A’ B’ A+B =(A’ B’)’ AB =(A’+B’)’ AND OR A A=A A + A=A A 0 =0 A + 0 = A A 1 =A A + 1 =1 A A’ =0 A+A’ =1