Skip to main content

Stacks

Amu_Ke_Fundye

Stacks


A stack is an ordered collection of items into which new items may be inserted and from which items may be deleted at one end, called the TOP of the stack. It is a LIFO (Last In First Out) kind of data structure.

Operations on Stack
  • Push: Adds an item onto the stack. PUSH (s, i); Adds the item i to the top of stack.
  • Pop: Removes the most-recently-pushed item from the stack. POP (s); Removes the top element and returns it as a function value.
  • size(): It returns the number of elements in the queue.
  • isEmpty(): It returns true if queue is empty.

Implementation of Stack
A stack can be implemented in two ways: Using Array and Using Linked list.
But since array sized is defined at compile time, it can’t grow dynamically. Therefore, an attempt to insert/push an element into stack (which is implemented through array) can cause a stack overflow situation, if it is already full.
Go, to avoid the above mentioned problem we need to use linked list to implement a stack, because linked list can grow dynamically and shrink at runtime.

1. Push and Pop Implementation Using Array:
void push( ) {
if(top==max)
printf(“\nOverflow”);
else {
int element;
printf(“\nEnter Element:”);
scanf(“%d”,&element);
printf(“\nElement(%d) has been pushed at %d”, element, top);
stack[top++]=element;
}
}
void pop( ) {
if(top==-1)
printf(“\nUnderflow”);
else
{
top–;
printf(“\nELement has been popped out!”);
}
}

2. Push and Pop Implementation Using Linked List:
struct node {
int data;
struct node *prev;
}*top=NULL, *temp=NULL;
void push( ) {
temp = (struct node*)malloc(sizeof(struct node*));
printf(“\nEnter Data:”);
scanf(“%d”,&temp->data);
temp->prev=NULL;
if(top==NULL) {
top=temp;
}
else {
temp->prev=top;
top=temp;
}
}
void pop( ) {
temp=top->prev;
top=temp;
printf(“\nDeleted: %d”,top->prev);
}

Applications of Stack
  • Backtracking: This is a process when you need to access the most recent data element in a series of elements.
  • Depth first Search can be implemented.
  • The function call mechanism.
  • Simulation of Recursive calls: The compiler uses one such data structure called stack for implementing normal as well as recursive function calls.
  • Parsing: Syntax analysis of compiler uses stack in parsing the program.
  • Web browsers store the addresses of recently visited sites on a stack.
  • The undo-mechanism in an editor.
  • Expression Evaluation: How a stack can be used for checking on syntax of an expression.
    • Infix expression: It is the one, where the binary operator comes between the operands. 
      e. g., A + B * C.
    • Postfix expression: Here, the binary operator comes after the operands.
      e.g., ABC * +
    • Prefix expression: Here, the binary operator proceeds the operands. 
      e.g.,+ A * BC
    • This prefix expression is equivalent to A + (B * C) infix expression. Prefix notation is also known as Polish notation. Postfix notation is also known as suffix or Reverse Polish notation.
  • Reversing a List: First push all the elements of string in stack and then pop elements.
  • Expression conversion: Infix to Postfix, Infix to Prefix, Postfix to Infix, and Prefix to Infix
  • Implementation of Towers of Hanoi
  • Computation of a cycle in the graph

Example-1: Implementation of Towers of Hanoi
Let A, B, and C be three stacks. Initially, B and C are empty, but A is not.
Job is to move the contents of A onto B without ever putting any object x on top of another object that was above x in the initial setup for A.
void TOH (int n, Stack A, Stack B, Stack C) {
if (n == 1) B.push (A.pop());
else {
TOH (n – 1, A, C, B); // n-1 go from A onto C
B.push (A.pop());
TOH (n – 1, C, B, A); // n-1 go from C onto B
}
}

Example-2: Evaluate the following postfix notation of expression: 15 3 2 + / 7 + 2 *
stack
 Regards 
Amrut Jagdish Gupta

Comments

Popular posts from this blog

Instruction Pipelining

Amu_Ke_Fundye Instruction Pipelining Parallel processing provides simultaneous data processing tasks for the purpose of increasing the computational speed of a computer system rather than each instruction is processed sequentially, a parallel processing system is able to perform concurrent data processing to achieve faster execution time and increase throughput. There are more advantages with parallel processing but it has some issues also. Due to parallel processing, the amount of hardware increases and the cost of system increases. Parallel processing is established by distributing the data among the multiple functional units. Flynn’s Classification Flynn introduced the parallel processing classification. This classification considers the organisation of a computer system by the number of instructions and data items that are manipulated simultaneously. The sequence of instructions read from the memory constitutes an instruction stream. The operations perfo...

ALU and Data Path

Amu_Ke_Fundye ALU and Data Path The CPU can be divided into a data section and a control section. The   data section , which is also called the   datapath. Datapath The registers, the ALU, and the interconnecting bus are collectively referred to as the datapath.  Each bit in datapath is functionally identical.  The datapath is capable of performing certain operations on data items. The  control section  is basically the  control unit ,  which issues control signals to the datapath . Bus : A Bus is a collection of wires or distinct lines meant to carry data, address and control information. Data Bus : it is used for transmission of data. The number of data lines corresponds to the number of bits in a word. Address Bus : it carries the address of the main memory location from where the data can be accessed. Control Bus : it is used to indicate the direction of data transfer and to coordinate the timing of ...

Undecidability

Amu_Ke_Fundye Undecidability Decidable Problem If there is a Turing machine that decides the problem, called as Decidable problem. A decision problem that can be solved by an algorithm that halts on all inputs in a finite number of steps. A problem is decidable, if there is an algorithm that can answer either yes or no. A language for which membership can be decided by an algorithm that halts on all inputs in a finite number of steps. Decidable problem is also called as totally decidable problem, algorithmically solvable, recursively solvable. Undecidable Problem A problem that cannot be solved for all cases by any algorithm whatsoever. Equivalent Language cannot be recognized by a Turing machine that halts for all inputs. The following problems are undecidable problems: Halting Problem:  A halting problem is undecidable problem. There is no general method or algorithm which can solve the halting problem for all possible inputs. Emptyness Problem:...