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Autor:Autor: Damary Paquién S.Damary Paquién S.
Docente:Docente: Pilar Pardo H.Pilar Pardo H.
Fecha Exposición:Fecha Exposición:27-03-201427-03-2014
UNIDAD I
ANÁLISIS DE ALGORITMOS
¿QUE ES LA COMPLEJIDAD DE¿QUE ES LA COMPLEJIDAD DE
UN ALGORITMO?UN ALGORITMO?
LA COMPLEJIDADLA COMPLEJIDAD
DE UNDE UN
ALGORITMOALGORITMO
DEPENDE DELDEPENDE DEL
TAMAÑO DELTAMAÑO DEL
PROBLEMA APROBLEMA A
RESOLVERRESOLVER
 Tamaño del
problema
 Naturaleza de
los datos de
entrada
 Recursos
hardware y
software
Factores que influyen en la
complejidad:
Los algoritmos se comportan de acuerdo a laLos algoritmos se comportan de acuerdo a la
información que se le entregue, Variables deinformación que se le entregue, Variables de
EntradaEntrada
Es importante estudiar su comportamiento en
casos extremos.
Datos muy Ordenados o muy Desordenados
Complejidad del PEOR CASO: El numero de
operaciones que se deben realizar para
garantizar una solución.
Complejidad del CASO PROMEDIO: Indica el
tiempo promedio obtenido considerando todas
las entradas posibles
TIEMPO DE EJECUCIÓN
Es definido como una función de entrada
Se definirá T(n) como el tiempo de ejecución de
un algoritmo para una entrada de tamaño n.
NOTACION ASINTOTICA
Se describe por una función cuyo dominio son los
números naturales N, estimado a partir del tiempo de
ejecución de la entrada.
La complejidad del algoritmo se denota con la Big-O
Las familias serán congregadas en funciones, usando comoLas familias serán congregadas en funciones, usando como
criterio de agrupación su comportamiento asintóticocriterio de agrupación su comportamiento asintótico
Estas familias se denominan con O().Estas familias se denominan con O().
CONCLUSIÓNCONCLUSIÓN
La complejidad de un algoritmo depende no solo del
espacio en memoria, sino del tiempo que lleve en
ejecutarse y que utilice pocos recursos

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Analisis de los algoritmos

  • 1. Autor:Autor: Damary Paquién S.Damary Paquién S. Docente:Docente: Pilar Pardo H.Pilar Pardo H. Fecha Exposición:Fecha Exposición:27-03-201427-03-2014 UNIDAD I ANÁLISIS DE ALGORITMOS
  • 2. ¿QUE ES LA COMPLEJIDAD DE¿QUE ES LA COMPLEJIDAD DE UN ALGORITMO?UN ALGORITMO?
  • 3. LA COMPLEJIDADLA COMPLEJIDAD DE UNDE UN ALGORITMOALGORITMO DEPENDE DELDEPENDE DEL TAMAÑO DELTAMAÑO DEL PROBLEMA APROBLEMA A RESOLVERRESOLVER
  • 4.  Tamaño del problema  Naturaleza de los datos de entrada  Recursos hardware y software Factores que influyen en la complejidad:
  • 5. Los algoritmos se comportan de acuerdo a laLos algoritmos se comportan de acuerdo a la información que se le entregue, Variables deinformación que se le entregue, Variables de EntradaEntrada
  • 6. Es importante estudiar su comportamiento en casos extremos. Datos muy Ordenados o muy Desordenados
  • 7. Complejidad del PEOR CASO: El numero de operaciones que se deben realizar para garantizar una solución.
  • 8. Complejidad del CASO PROMEDIO: Indica el tiempo promedio obtenido considerando todas las entradas posibles
  • 9. TIEMPO DE EJECUCIÓN Es definido como una función de entrada Se definirá T(n) como el tiempo de ejecución de un algoritmo para una entrada de tamaño n.
  • 10. NOTACION ASINTOTICA Se describe por una función cuyo dominio son los números naturales N, estimado a partir del tiempo de ejecución de la entrada. La complejidad del algoritmo se denota con la Big-O
  • 11. Las familias serán congregadas en funciones, usando comoLas familias serán congregadas en funciones, usando como criterio de agrupación su comportamiento asintóticocriterio de agrupación su comportamiento asintótico Estas familias se denominan con O().Estas familias se denominan con O().
  • 12. CONCLUSIÓNCONCLUSIÓN La complejidad de un algoritmo depende no solo del espacio en memoria, sino del tiempo que lleve en ejecutarse y que utilice pocos recursos