Data Structures

Data Structures

1. crisp data (data crisp)

   • can be stored and handled in the data structures.

2. operating systems DataWarehouse

   • client-server systems
     • simulators

3. are implemented by programming languages

   • to store and use a specific data organization.

4. datos difusos (fuzzy data)

5. The problem is that there are facts in real life that can notbe defined as completely true or completely false

   • have a degree of truth or falsity can vary from 0 to 1

6. Definition: a data structure or group is any collection of data organized in such a way that they have associated a set of operations to manipulate

7. creation, access and destruction of Data Structures.

   • Function to access
     • Facilitate the arrival of an element belonging to the structure.
   • constructor function
     • Create the structure, ie, define the characteristics, delimitation, relationships and allocate the space, leaving to the user the structure to proceed to place the information.
   • destructor function
     • Return to system resources allocated to the data structure so that they are available to it.

8. Data structure

   • Pilas
   • Colas
   • Arboles
   • Grafos

Images and files in the map