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Lecture - 1      onData Structures
Data Type and Data StructureData type     •Set of possible values for variables     •Operations on those valuesEx : int, f...
An example of several common data structures:     • arrays,     •linked lists,     •stacks,     •queues,     • trees,     ...
ArrayLinear array (One dimensional array) : A list of finite number n of similar dataelements referenced respectively by a...
ExampleA linear array STUDENT consisting of the name of six students                            STUDENT                   ...
Array (con…)Linear arrays are called one dimensional arrays because eachelement in such an array is referenced by one subs...
Array Data StructureIt can hold multiple values of a single type.Elements are referenced by the array name and an ordinal ...
Linked lists  •A linked list, or one way list, is a linear collection of data  elements, called nodes, where the linear or...
Linked listsStart            node                                             node               Data       Next          ...
Linked lists            INFO   LINKSTART   1                  START=3, INFO[3]=M 3      2   A      5       LINK[3]=2, INFO...
Stacks• Stacks are a special form of collection  with LIFO semantics• Two methods     - add item to the top of the stack  ...
Queues• Like a stack, a queue is also a list. However,  with a queue, insertion is done at one end, while  deletion is per...
edges
Data structure operationsThe data appearing in our data structure is processed by means of certainoperations. In fact, the...
Data structure operations (Continued)The following two operations, which are used in special situations, will also beconsi...
AlgorithmsAn essential aspect to data structures is algorithms. Data structuresare implemented using algorithms.An Algorit...
ComplexityThe complexity of an algorithm is a function describing the efficiency of thealgorithm in terms of the amount of...
Discussion•Once data is organized into forms such as trees, stacks and queues,standard algorithms can be used to process t...
Data structure lecture 1
Data structure lecture 1
Data structure lecture 1
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Data structure lecture 1

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Transcript of "Data structure lecture 1"

  1. 1. Lecture - 1 onData Structures
  2. 2. Data Type and Data StructureData type •Set of possible values for variables •Operations on those valuesEx : int, float, char ……….Data StructureA data structure is an arrangement of data in a computers memoryor even disk storage.The logical and mathematical model of a particular organization ofdata is called a data structure.A data structure is a particular way of storing and organizing datain a computer so that it can be used efficiently.
  3. 3. An example of several common data structures: • arrays, •linked lists, •stacks, •queues, • trees, •and Graph
  4. 4. ArrayLinear array (One dimensional array) : A list of finite number n of similar dataelements referenced respectively by a set of n consecutive numbers, usually 1,2, 3,…..n. That is a specific element is accessed by an index.Let, Array name is A then the elements of A is : a1,a2….. anOr by the bracket notation A[1], A[2], A[3],…………., A[n]The number k in A[k] is called a subscript and A[k] is called a subscriptedvariable. element
  5. 5. ExampleA linear array STUDENT consisting of the name of six students STUDENT 1 Dalia Rahaman 2 Sumona 3 Mubtasim Fuad 4 Anamul Haque 5 Ibtisam Rahaman 6 Jarin Here, STUDENT[4] denote Anamul Haque
  6. 6. Array (con…)Linear arrays are called one dimensional arrays because eachelement in such an array is referenced by one subscript. (Two dimensional array) : Two dimensional array is a collection ofsimilar data elements where each element is referenced by twosubscripts.Such arrays are called matrices in mathematics and tables inbusiness applications.Multidimensional arrays are defined analogously MATRICES 1 2 3 4 1 1 2 3 4 Here, MATRICES[3,3]=11 2 5 6 7 8 3 9 10 11 12 4 13 14 15 16
  7. 7. Array Data StructureIt can hold multiple values of a single type.Elements are referenced by the array name and an ordinal index.Each element is a valueIndexing begins at zero.The array forms a contiguous list in memory.The name of the array holds the address of the first array element.We specify the array size at compile time, often with a named constant.
  8. 8. Linked lists •A linked list, or one way list, is a linear collection of data elements, called nodes, where the linear order is given by means of pointers. •Dynamically allocate space for each element as needed. Node Data NextIn linked list Each node of the list contains the data item a pointer to the next nodeCollection structure has a pointer to the list Start Initially NULL Start Prepared by, Jesmin Akhter, Lecturer, IIT,JU
  9. 9. Linked listsStart node node Data Next Data Linked list with 2 nodes Prepared by, Jesmin Akhter, Lecturer, IIT,JU
  10. 10. Linked lists INFO LINKSTART 1 START=3, INFO[3]=M 3 2 A 5 LINK[3]=2, INFO[2]=A 3 M 2 LINK[2]=5, INFO[5]=N LINK[5]=4, INFO[4]=G 4 G 7 LINK[4]=7, INFO[7]=O 5 N 4 LINK[7]=0, NULL value, So the list has ended 6 7 O 0 8
  11. 11. Stacks• Stacks are a special form of collection with LIFO semantics• Two methods - add item to the top of the stack - remove an item from the top of the stack• Like a plate stacker
  12. 12. Queues• Like a stack, a queue is also a list. However, with a queue, insertion is done at one end, while deletion is performed at the other end• The insertion end is called rear – The deletion end is called front Remove Insert front rear
  13. 13. edges
  14. 14. Data structure operationsThe data appearing in our data structure is processed by means of certainoperations. In fact, the particular data structure that one chooses for a givensituation depends largely on the frequency with which specific operations areperformed. The following four operations play a major role:TraversingAccessing each record exactly once so that certain items in the record maybe processed. (This accessing or processing is sometimes called visiting"the records.)SearchingFinding the location of the record with a given key value, or finding thelocations of all records, which satisfy one or more conditions.InsertingAdding new records to the structure.DeletingRemoving a record from the structure.
  15. 15. Data structure operations (Continued)The following two operations, which are used in special situations, will also beconsidered:Sorting:Arranging the records in some logical orderMerging:Combining the records in two different sorted files into a single sorted files
  16. 16. AlgorithmsAn essential aspect to data structures is algorithms. Data structuresare implemented using algorithms.An Algorithm is a finite step – by – step list of well defined instructionsfor solving a particular problem. It is used to manipulate the datacontained in the data structures as in searching and sorting. It statesexplicitly how the data will be manipulated. Perform data structure operations
  17. 17. ComplexityThe complexity of an algorithm is a function describing the efficiency of thealgorithm in terms of the amount of data the algorithm must process. Thereare two main complexity measures of the efficiency of an algorithm:Time complexity is a function describing the amount of time an algorithmtakes in terms of the amount of input to the algorithm.Space complexity is a function describing the amount of memory (space) analgorithm takes in terms of the amount of input to the algorithm.
  18. 18. Discussion•Once data is organized into forms such as trees, stacks and queues,standard algorithms can be used to process them.•Properly organized data lead to easy-to understand user interfaces
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