The document discusses basics of data structures and programming methodology. It defines data structures as representations of logical relationships between data elements that are used to maximize memory efficiency. An algorithm plus data structure equals a program. Data structures can be represented in memory or stored in files. Modular programming involves writing programs as independent functions with high cohesion and low coupling. Common data structures include arrays, vectors, lists, files, records, strings, linear and non-linear lists, stacks, queues, trees, and graphs. Dynamic memory allocation uses functions like malloc(), calloc(), realloc(), and free() while static allocation uses arrays. Memory management involves techniques such as free storage lists and garbage collection.
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3. DS 3
Data Structure is structural representation of logical relationship between
elements of Data.
DS is used for utilizing the maximum efficiency of Memory
Organized Data + Operation = Data Structure
Algorithm + Data Structure = Program.
ALGORITHM : It’s a step by step finite sequence of instruction to solve a well
defined computational problem.
Optimization of program is directly concerned with the algorithm design.
Representation of DS in memory of a computer is called storage structure.
A Storage structure stored in auxiliary memory is known as File Structure.
TERMINOLOGY
5. DS 5
Modular Programming is an act of writing programs as functions, that each
one perform a single well defined task, and which have minimum interaction
between them.
High cohesion : Related with specific task only.
Low Coupling : Independent from each other.
Two Methods:
(i). TOP – DOWN Methodology (eg. C, C++ Programming)
(ii). BOTTOM – UP Methodology (eg. VB Project implementation)
MODULAR PROGRAMMING
6. DS 6
Main
Function 1 Function 2 Function 3
Function a Function b Function c Function c Function b Function d
Functions called By Function 1 Functions called By Function 3
Functions called
By Function 1
PROGRAMMING APPROCH
8. DS 8
ARRAYS
An array is a collection of homogeneous
data elements described by a single name.
Insertion and Deletion can not be made.
i. 1-D Array
ii. 2-D Array
iii. M-D Array
iv. Sparse Arrays
VECTOR
1-D ordered collection of number
i. Row Vector
ii. Column Vector
LISTS
A list is an ordered set consisting of a varying
number of elements to which insertion and
deletion can be made
12
52
35
10 11
12
13
14
15
START
11 12 13 14 15
SOME D.S.
9. DS 9
FILES & RECORDS
File is typically large list that is stored in the
external memory of computer.
A record is collection of information about some
particular entity.
Record may be collection of heterogeneous data.
File is collection of such a records.
CHARECTERISTICS
OF STRING
Fixed length string
Variable length string
Linear list (Linked List)
11. DS 11
malloc ()
Allocates 1 block of memory
ptr=(Data_Type *)malloc(n * sizeof(Data_Type));
callloc ()
Allocates n block of memory
ptr=(Data_Type *)calloc(n , sizeof(Data_Type));
realloc ()
Resize the original block of memory
ptr=realloc(ptr, NewSize);
free ()
Free up the memory block
free (ptr);
Dynamic or Run Time memory
allocation (Linked list)
Static or Compile Time
memory allocation (Array)
int a, array[10];
char str[80];
Dynamic memory
allocation in C++
int *var1 = new int;
float *var2 = new float;
delete var1;
delete var2;
MEMORY MANAGEMENT