Data Structures

Data Structures

1. sets of variables

2. implemented in programming languages

   • They are a model to store and use a specific data organization

3. data crisp

   • not possible to describe certain phenomena that manifest imprecisin or uncertainty, both in representation and an inquiry
   • Apply to processes that are not under uncertainty.
   • They are accurate, precise and well defined.
   • They are represented by the theory of sets crisp
   • Use bivalent logic.
   • Are applied to conventional mathematical models.

4. fuzzy data.

   • contain uncertainty or in your information,  associated with the theory of fuzzy sets, which formalizes vague or fuzzy concepts that people deal with everyday and naturally
   • DATA
     • Representation of information in a form suitable for treatment by an ordained
     • whole numbers
     • decimal
     • Hour
     • Colors
     • alphanumerics chains
     • dates
     • logics values
   • Uses fuzzy logic.
   • Imprecisine represent uncertainty.
   • Apply to phenomena or processes that are not simple and that they are under uncertainty.
   • They are represented by the theory of fuzzy sets.
   • Apply to use mathematical models allowing concepts to reality, following patterns similar to the thinking of human behavior.

5. physical

   • is basically focused on the way the information is stored

6. logical

   • focuses on the aspect of the relationships between the elements

7. Operations

   • Browse by structure
     • Make a tour of the structure with the purpose of retrieve the stored information.
   • Find it
     • Determines whether an item is or is not in the structure.
   • Check the information
     • Oms one obtains information on the structure elements.
   • Test
     • Check if one or more elements meet certain conditions. 
   • Modificación
     • Partially or completely stick the information content of the elements of the structure.
   • Print
     • Enter the information contained in the structure
   • Total or partial copy
     • Acquired wholly or partly with a structure similar to the original features.
   • Elimination
     • Suppresses structure elements.

8. Functions

   • construction
     • Create the structure, defining characteristics, the delimitation, relationships and allocate the space, leaving at the disposal of the user structure to proceed to place the information.
   • access
     • Facilitate the arrival of an element belonging to the structure.
   • destructive
     • Return to system resources allocated to the data structure so that they are at the disposal of this.

9. vectors

   • are well suited to many problems, but others are completely inadequate

10. matrices

    • are well suited to many problems, but others are completely inadequate

11. stacks

    • fit like gloves to certain problems as diverse as, for example, sintcticos analyzers or the distribution of resources in the operating system

12. trees

    • are essential in many artificial intelligence problems or, in general, exhaustive search of solutions

13. graphs

    • fit like gloves to certain problems as diverse as, for example, sintcticos analyzers or the distribution of resources in the operating system

14. tails

    • fit like gloves to certain problems as diverse as, for example, sintcticos analyzers or the distribution of resources in the operating system

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