The document discusses different implementations of stacks and queues using linked lists and arrays. It describes how stacks can be implemented using a linked list, with push and pop operations adding and removing nodes from the head of the list. Queues can also be implemented with linked lists or arrays, but arrays require additional logic to maintain first-in, first-out order efficiently. Common applications of stacks and queues include evaluating expressions, checking for balanced brackets, and managing tasks in operating systems and server requests.
The document discusses stacks and queues. It defines stacks as LIFO data structures and queues as FIFO data structures. It describes basic stack operations like push and pop and basic queue operations like enqueue and dequeue. It then discusses implementing stacks and queues using arrays and linked lists, outlining the key operations and memory requirements for each implementation.
The document discusses stacks and their implementation and operations. It defines a stack as a linear data structure that follows the LIFO principle. Stacks can be implemented using arrays or linked lists. The two main operations on a stack are push and pop. Push adds an element to the top of the stack, while pop removes an element from the top. The document provides examples of these operations and discusses applications of stacks such as converting infix to postfix notation.
The document describes implementing a queue using an array. It provides algorithms for enQueue() and deQueue() operations. EnQueue() inserts elements at the rear by incrementing rear and checking for full. DeQueue() deletes elements from the front by incrementing front and checking for empty. The queue uses front and rear pointers to manage insertion and deletion of elements based on FIFO principle using an underlying fixed-size array.
The document discusses stacks and their implementation and applications. Stacks are LIFO data structures that can be implemented using arrays. Key operations on stacks include push, pop, peek, isEmpty and isFull. Stacks have various applications including expression evaluation, recursion, function calls and memory management. Stacks can grow either upwards or downwards in the array.
The document discusses stacks in C++. It defines a stack as a data structure that follows LIFO (Last In First Out) principle where the last element added is the first to be removed. Stacks can be implemented using arrays or linked lists. The key operations on a stack are push which adds an element and pop which removes an element. Example applications of stacks include function call stacks, converting infix to postfix notation, and reversing arrays.
What is Stack, Its Operations, Queue, Circular Queue, Priority QueueBalwant Gorad
Explain Stack and its Concepts, Its Operations, Queue, Circular Queue, Priority Queue. Explain Queue and It's Operations
Data Structures, Abstract Data Types
The document discusses different implementations of stacks and queues using linked lists and arrays. It describes how stacks can be implemented using a linked list, with push and pop operations adding and removing nodes from the head of the list. Queues can also be implemented with linked lists or arrays, but arrays require additional logic to maintain first-in, first-out order efficiently. Common applications of stacks and queues include evaluating expressions, checking for balanced brackets, and managing tasks in operating systems and server requests.
The document discusses stacks and queues. It defines stacks as LIFO data structures and queues as FIFO data structures. It describes basic stack operations like push and pop and basic queue operations like enqueue and dequeue. It then discusses implementing stacks and queues using arrays and linked lists, outlining the key operations and memory requirements for each implementation.
The document discusses stacks and their implementation and operations. It defines a stack as a linear data structure that follows the LIFO principle. Stacks can be implemented using arrays or linked lists. The two main operations on a stack are push and pop. Push adds an element to the top of the stack, while pop removes an element from the top. The document provides examples of these operations and discusses applications of stacks such as converting infix to postfix notation.
The document describes implementing a queue using an array. It provides algorithms for enQueue() and deQueue() operations. EnQueue() inserts elements at the rear by incrementing rear and checking for full. DeQueue() deletes elements from the front by incrementing front and checking for empty. The queue uses front and rear pointers to manage insertion and deletion of elements based on FIFO principle using an underlying fixed-size array.
The document discusses stacks and their implementation and applications. Stacks are LIFO data structures that can be implemented using arrays. Key operations on stacks include push, pop, peek, isEmpty and isFull. Stacks have various applications including expression evaluation, recursion, function calls and memory management. Stacks can grow either upwards or downwards in the array.
The document discusses stacks in C++. It defines a stack as a data structure that follows LIFO (Last In First Out) principle where the last element added is the first to be removed. Stacks can be implemented using arrays or linked lists. The key operations on a stack are push which adds an element and pop which removes an element. Example applications of stacks include function call stacks, converting infix to postfix notation, and reversing arrays.
What is Stack, Its Operations, Queue, Circular Queue, Priority QueueBalwant Gorad
Explain Stack and its Concepts, Its Operations, Queue, Circular Queue, Priority Queue. Explain Queue and It's Operations
Data Structures, Abstract Data Types
1. The document discusses stacks and their implementation as a data structure. Stacks follow the last-in, first-out (LIFO) principle and can be implemented using either arrays (static implementation) or linked lists (dynamic implementation).
2. Common stack operations like push, pop, peek and isEmpty are described along with their time complexities. Converting expressions from infix to postfix notation using stacks is also covered.
3. Examples of implementing stacks using arrays and linked lists in C programming language are provided, including functions for push, pop and traversal operations. Converting infix expressions to equivalent postfix forms using stack operations is demonstrated through examples.
The document discusses stacks and their implementation. It defines stacks as ordered collections where insertions and deletions occur at one end. Common stack operations like push and pop are described. Stacks can be implemented using arrays or linked lists. Various stack applications are mentioned like checking balanced symbols.
C++ Program It is only 1 rotation. Up-rotation of a stack. Write a.pdfpallavi953613
C++ Program: It is only 1 rotation. Up-rotation of a stack. Write a function stack upRotate(Stack
s) which returns the up-rotation of a stack (the top node is moved to the bottom) Down-rotation
of a stack. Write a function stack downRotate(Stack s) which returns the down-rotation of a
stack (the top node is moved to the bottom). For this assignment append all member functions of
Node to the provided Node.h header file (for simplicity, implement them in the header). All the
functions which use Stack should go in a main.cpp. Note that for Node, you are creating member
functions, or methods. For stack, you are creating functions. The difference is important. You
cannot add to the public/private data of Node or Stack; you must keep them as such. You must
demonstrate all the functions you create in main.cpp! For example, if you are doing list
problems, load list with some numbers, such as 2 3 5 7. Then demonstrate your rotations,
reversals, etc. by printing out the list before/after the function call. Label your output
appropriately so that I can grade it easily.
Solution
#define MAXLEN 100
typedef struct {
char element [MAXLEN];
int top;
}stack;
stack init()
{
stack S;
s.top= -1;
return S;
}
int isempty( stack S)
{
return(S.top== -1)
}int isFull( stack S)
{
return(S.top == MAXLEN -1);
}
char top(stack s)
{
if (isEmpty(s))
{
fprintf(stderr, \"top: Empty stack\ \");
return \'\\0\';
}
return S.element[S.top];
}
stack push(stack S char ch)
{
if (isFull(s)) {
fprintf(stderr, \"push:Full stack\ \");
return S;
}
++S.top;
S.element[S.top]=ch;
return S;
}
stack pop(stack S)
{
if (isEmpty(S)){
fprintf(stedrr,\"pop:Empty stack\ \");
return S;
}
--S.top;
returm S;
}
void print(stack S)
{
int i;
for(i=S.top; i >-0; --i) printf(\"%c\",S.element[i]);
}
Here is a possible main() function calling these routines:
int main()
stack S;
S=int(); printf(\"Current stack:\"); print(S); printf(\"with top=%c.\ \", top(S));
S=push(S,\'d\'); printf(\"Current Stack:\"); print(S);printf(\"with top =%c.\ \",top(S));
S=push(S\',f\'); printf(\"Current stack:\"); print(S); printf(\"with top =%c.\ \", top(S));
S=push(S,\'a\'); printf(\"Current stack:\"); print(S); printf(\"with top =%c.\ \" ,top(S));
S=pop(S); printf(\"Current stack :\"); printf(S); printf(\"with top=%c.\ \",top(S));
S=push(S,\'x\'); printf(\"Current stack:\"); printf(S); printf(\"with top=%c.\ \",top(S));
S=pop(S); printf(\"Current stack:\"); printf(S); printf(\"with top=%c.\ \",top(S));
S=pop(S); printf(\"Current stack:\"); printf(S); printf(\"with top =%C.\ \",top(S));
S=pop(S); printf(\"Current stack:\"); printf(S); prientf(\" with top=%c.\ \",top(S));
S=pop(S); print(\"Current stack:\"); printf(S); printf(\"with top=%c.\ \", top(S));
Here is the complete progrem. the output of the program is given beloe:
top: Empty stack
Current stack : with top =.
Current stack : d with top = d.
Current stack : fd with top = f.
Current stack : afd with top = a.
Current stack : fd with top = f.
Current stack : xfd with top = x.
Data Structure Introduction
Data Structure Definition
Data Structure Types
Data Structure Characteristics
Need for Data Structure
Stack Definition
Stack Representation
Stack Operations
Stack Algorithm
Program for Stack in C++
Linked List Definition
Linked List Representation
Linked List Operations
Linked List Algorithm
Program for Linked List in C++
Linked List Defination
Linked List Representation
Linked List Operations
Linked List Algorithm
Program for Linked List in C++
The document discusses stacks and queues. It begins by defining a stack as a collection of homogeneous data elements where insertion and deletion occurs at one end, known as the top. The stack follows the LIFO (last in, first out) principle. Common stack operations like push and pop are introduced. Implementing stacks using both arrays and linked lists is covered. Applications of stacks like balancing symbols, recursion, undo operations are mentioned. The document then moves to discussing queues, their applications and implementations. Priority queues and their applications are also briefly covered.
The document discusses stacks, which are linear data structures that follow the LIFO (last in, first out) principle. Stacks can be implemented using arrays or linked lists. Elements are inserted and removed only from one end, called the top of the stack. Insertion is called pushing and removal is called popping. Stacks are used extensively in computer systems, for example in operating system function calls and interrupt handling. The Java programming language contains a Stack class that can be used by programmers.
Stack is an abstract data type that serves as a linear collection of elements. It has two main operations: push, which adds an element to the top of the stack, and pop, which removes the top element. A stack follows last-in, first-out (LIFO) order, meaning the last element added is the first removed. Common real-world examples of stacks include piles of plates and books.
Stacks are a special type of list where insertions and deletions only occur at one end, called the top. There are two main types - static stacks have a fixed size and are implemented as arrays, while dynamic stacks can grow as needed and are implemented as linked lists. Common stack operations include push to insert at the top, pop to remove from the top, and functions to check if the stack is empty or return the top element. Stacks are useful data structures with LIFO (last in, first out) behavior and have various applications like implementing function call stacks in compilers.
Stack and Queue data structures are described. A Stack follows LIFO (last-in, first-out) where elements can only be inserted and removed from one end. Common stack operations are push, pop, and peek. A Queue follows FIFO (first-in, first-out) where elements can only be inserted at the rear and removed from the front. Common queue operations are enqueue and dequeue. Both can be implemented using arrays or linked lists. A circular array implementation improves the efficiency of dequeuing from a queue.
Stacks are linear data structures that follow the LIFO (last in, first out) principle. Elements are added and removed from the top of the stack. Stacks have two main operations - Push, which adds an element to the top of the stack, and Pop, which removes an element from the top. Stacks can be implemented using arrays or linked lists. Compilers use stacks to convert infix arithmetic expressions to postfix notation and then evaluate the postfix expression. This process involves pushing and popping operators from the stack.
A stack is a data structure that follows the last-in, first-out (LIFO) principle. It can be implemented using arrays or linked lists. The key operations on a stack are push to add an element, pop to remove an element, checking if the stack is empty, and checking if the stack is full. The document provides code examples to demonstrate implementing a stack using an array or linked list, including functions for the basic stack operations.
The document discusses stacks and queues as data structures. It begins by defining a Node struct and List class to implement a linked list. It then provides an overview of stacks, including common stack operations like push and pop. Stacks follow LIFO order and can be implemented using arrays or linked lists. The document also discusses queues, which follow FIFO order. Key queue operations are enqueue and dequeue. Queues can also be implemented using arrays or linked lists. The document provides examples of implementing both stacks and queues as classes using these underlying data structures.
The document discusses stacks and queues as data structures. It begins by defining a Node struct and List class to implement a linked list. It then provides an overview of stacks, including common stack operations like push and pop. Stacks follow LIFO order and can be implemented using arrays or linked lists. The document also discusses queues, which follow FIFO order. Key queue operations are enqueue and dequeue. Queues can also be implemented using arrays or linked lists. The document provides examples of implementing both stacks and queues as classes with the appropriate member functions.
The document discusses stacks and queues as data structures. It begins by defining a Node struct and List class to implement a linked list. It then provides an overview of stacks, including common stack operations like push and pop. Stacks follow LIFO order and can be implemented using arrays or linked lists. The document also discusses queue operations like enqueue and dequeue. Queues follow FIFO order and can also be implemented using arrays or linked lists. It provides examples of implementing both stacks and queues as classes with the appropriate member functions.
The document discusses stacks and queues as data structures. It describes stacks as lists where insertion and deletion occur at the same end, following LIFO order. The primary stack operations are push and pop. Stacks can be implemented using arrays or linked lists. Queues are lists where insertion occurs at one end and deletion at the other, following FIFO order. The primary queue operations are enqueue and dequeue. Queues can also be implemented using arrays or linked lists. Examples of stack and queue implementations and uses are provided.
The document discusses stacks and queues as data structures. It begins by defining a Node struct and List class to implement a linked list. It then provides an overview of stacks, including common stack operations like push and pop. Stacks follow LIFO order and can be implemented using arrays or linked lists. The document also discusses queues, which follow FIFO order. Key queue operations are enqueue and dequeue. Queues can also be implemented using arrays or linked lists. The document provides examples of implementing both stacks and queues as classes using these underlying data structures.
The document discusses stacks and queues as data structures. It begins by defining a Node struct and List class to implement a linked list. It then provides an overview of stacks, including common stack operations like push and pop. Stacks follow LIFO order and can be implemented using arrays or linked lists. The document also discusses queues, which follow FIFO order. Key queue operations are enqueue and dequeue. Queues can also be implemented using arrays or linked lists. The document provides examples of implementing both stacks and queues as classes using these underlying data structures.
The document discusses stacks and queues as data structures. It begins by defining a Node struct and List class to implement a linked list. It then provides an overview of stacks, including common stack operations like push and pop. Stacks follow LIFO order and can be implemented using either arrays or linked lists. The document also discusses queues, which follow FIFO order. Like stacks, queues support basic operations like enqueue and dequeue and can be implemented with arrays or linked lists. It provides examples of implementing both stacks and queues as class structures.
1. The document discusses stacks and their implementation as a data structure. Stacks follow the last-in, first-out (LIFO) principle and can be implemented using either arrays (static implementation) or linked lists (dynamic implementation).
2. Common stack operations like push, pop, peek and isEmpty are described along with their time complexities. Converting expressions from infix to postfix notation using stacks is also covered.
3. Examples of implementing stacks using arrays and linked lists in C programming language are provided, including functions for push, pop and traversal operations. Converting infix expressions to equivalent postfix forms using stack operations is demonstrated through examples.
The document discusses stacks and their implementation. It defines stacks as ordered collections where insertions and deletions occur at one end. Common stack operations like push and pop are described. Stacks can be implemented using arrays or linked lists. Various stack applications are mentioned like checking balanced symbols.
C++ Program It is only 1 rotation. Up-rotation of a stack. Write a.pdfpallavi953613
C++ Program: It is only 1 rotation. Up-rotation of a stack. Write a function stack upRotate(Stack
s) which returns the up-rotation of a stack (the top node is moved to the bottom) Down-rotation
of a stack. Write a function stack downRotate(Stack s) which returns the down-rotation of a
stack (the top node is moved to the bottom). For this assignment append all member functions of
Node to the provided Node.h header file (for simplicity, implement them in the header). All the
functions which use Stack should go in a main.cpp. Note that for Node, you are creating member
functions, or methods. For stack, you are creating functions. The difference is important. You
cannot add to the public/private data of Node or Stack; you must keep them as such. You must
demonstrate all the functions you create in main.cpp! For example, if you are doing list
problems, load list with some numbers, such as 2 3 5 7. Then demonstrate your rotations,
reversals, etc. by printing out the list before/after the function call. Label your output
appropriately so that I can grade it easily.
Solution
#define MAXLEN 100
typedef struct {
char element [MAXLEN];
int top;
}stack;
stack init()
{
stack S;
s.top= -1;
return S;
}
int isempty( stack S)
{
return(S.top== -1)
}int isFull( stack S)
{
return(S.top == MAXLEN -1);
}
char top(stack s)
{
if (isEmpty(s))
{
fprintf(stderr, \"top: Empty stack\ \");
return \'\\0\';
}
return S.element[S.top];
}
stack push(stack S char ch)
{
if (isFull(s)) {
fprintf(stderr, \"push:Full stack\ \");
return S;
}
++S.top;
S.element[S.top]=ch;
return S;
}
stack pop(stack S)
{
if (isEmpty(S)){
fprintf(stedrr,\"pop:Empty stack\ \");
return S;
}
--S.top;
returm S;
}
void print(stack S)
{
int i;
for(i=S.top; i >-0; --i) printf(\"%c\",S.element[i]);
}
Here is a possible main() function calling these routines:
int main()
stack S;
S=int(); printf(\"Current stack:\"); print(S); printf(\"with top=%c.\ \", top(S));
S=push(S,\'d\'); printf(\"Current Stack:\"); print(S);printf(\"with top =%c.\ \",top(S));
S=push(S\',f\'); printf(\"Current stack:\"); print(S); printf(\"with top =%c.\ \", top(S));
S=push(S,\'a\'); printf(\"Current stack:\"); print(S); printf(\"with top =%c.\ \" ,top(S));
S=pop(S); printf(\"Current stack :\"); printf(S); printf(\"with top=%c.\ \",top(S));
S=push(S,\'x\'); printf(\"Current stack:\"); printf(S); printf(\"with top=%c.\ \",top(S));
S=pop(S); printf(\"Current stack:\"); printf(S); printf(\"with top=%c.\ \",top(S));
S=pop(S); printf(\"Current stack:\"); printf(S); printf(\"with top =%C.\ \",top(S));
S=pop(S); printf(\"Current stack:\"); printf(S); prientf(\" with top=%c.\ \",top(S));
S=pop(S); print(\"Current stack:\"); printf(S); printf(\"with top=%c.\ \", top(S));
Here is the complete progrem. the output of the program is given beloe:
top: Empty stack
Current stack : with top =.
Current stack : d with top = d.
Current stack : fd with top = f.
Current stack : afd with top = a.
Current stack : fd with top = f.
Current stack : xfd with top = x.
Data Structure Introduction
Data Structure Definition
Data Structure Types
Data Structure Characteristics
Need for Data Structure
Stack Definition
Stack Representation
Stack Operations
Stack Algorithm
Program for Stack in C++
Linked List Definition
Linked List Representation
Linked List Operations
Linked List Algorithm
Program for Linked List in C++
Linked List Defination
Linked List Representation
Linked List Operations
Linked List Algorithm
Program for Linked List in C++
The document discusses stacks and queues. It begins by defining a stack as a collection of homogeneous data elements where insertion and deletion occurs at one end, known as the top. The stack follows the LIFO (last in, first out) principle. Common stack operations like push and pop are introduced. Implementing stacks using both arrays and linked lists is covered. Applications of stacks like balancing symbols, recursion, undo operations are mentioned. The document then moves to discussing queues, their applications and implementations. Priority queues and their applications are also briefly covered.
The document discusses stacks, which are linear data structures that follow the LIFO (last in, first out) principle. Stacks can be implemented using arrays or linked lists. Elements are inserted and removed only from one end, called the top of the stack. Insertion is called pushing and removal is called popping. Stacks are used extensively in computer systems, for example in operating system function calls and interrupt handling. The Java programming language contains a Stack class that can be used by programmers.
Stack is an abstract data type that serves as a linear collection of elements. It has two main operations: push, which adds an element to the top of the stack, and pop, which removes the top element. A stack follows last-in, first-out (LIFO) order, meaning the last element added is the first removed. Common real-world examples of stacks include piles of plates and books.
Stacks are a special type of list where insertions and deletions only occur at one end, called the top. There are two main types - static stacks have a fixed size and are implemented as arrays, while dynamic stacks can grow as needed and are implemented as linked lists. Common stack operations include push to insert at the top, pop to remove from the top, and functions to check if the stack is empty or return the top element. Stacks are useful data structures with LIFO (last in, first out) behavior and have various applications like implementing function call stacks in compilers.
Stack and Queue data structures are described. A Stack follows LIFO (last-in, first-out) where elements can only be inserted and removed from one end. Common stack operations are push, pop, and peek. A Queue follows FIFO (first-in, first-out) where elements can only be inserted at the rear and removed from the front. Common queue operations are enqueue and dequeue. Both can be implemented using arrays or linked lists. A circular array implementation improves the efficiency of dequeuing from a queue.
Stacks are linear data structures that follow the LIFO (last in, first out) principle. Elements are added and removed from the top of the stack. Stacks have two main operations - Push, which adds an element to the top of the stack, and Pop, which removes an element from the top. Stacks can be implemented using arrays or linked lists. Compilers use stacks to convert infix arithmetic expressions to postfix notation and then evaluate the postfix expression. This process involves pushing and popping operators from the stack.
A stack is a data structure that follows the last-in, first-out (LIFO) principle. It can be implemented using arrays or linked lists. The key operations on a stack are push to add an element, pop to remove an element, checking if the stack is empty, and checking if the stack is full. The document provides code examples to demonstrate implementing a stack using an array or linked list, including functions for the basic stack operations.
The document discusses stacks and queues as data structures. It begins by defining a Node struct and List class to implement a linked list. It then provides an overview of stacks, including common stack operations like push and pop. Stacks follow LIFO order and can be implemented using arrays or linked lists. The document also discusses queues, which follow FIFO order. Key queue operations are enqueue and dequeue. Queues can also be implemented using arrays or linked lists. The document provides examples of implementing both stacks and queues as classes using these underlying data structures.
The document discusses stacks and queues as data structures. It begins by defining a Node struct and List class to implement a linked list. It then provides an overview of stacks, including common stack operations like push and pop. Stacks follow LIFO order and can be implemented using arrays or linked lists. The document also discusses queues, which follow FIFO order. Key queue operations are enqueue and dequeue. Queues can also be implemented using arrays or linked lists. The document provides examples of implementing both stacks and queues as classes with the appropriate member functions.
The document discusses stacks and queues as data structures. It begins by defining a Node struct and List class to implement a linked list. It then provides an overview of stacks, including common stack operations like push and pop. Stacks follow LIFO order and can be implemented using arrays or linked lists. The document also discusses queue operations like enqueue and dequeue. Queues follow FIFO order and can also be implemented using arrays or linked lists. It provides examples of implementing both stacks and queues as classes with the appropriate member functions.
The document discusses stacks and queues as data structures. It describes stacks as lists where insertion and deletion occur at the same end, following LIFO order. The primary stack operations are push and pop. Stacks can be implemented using arrays or linked lists. Queues are lists where insertion occurs at one end and deletion at the other, following FIFO order. The primary queue operations are enqueue and dequeue. Queues can also be implemented using arrays or linked lists. Examples of stack and queue implementations and uses are provided.
The document discusses stacks and queues as data structures. It begins by defining a Node struct and List class to implement a linked list. It then provides an overview of stacks, including common stack operations like push and pop. Stacks follow LIFO order and can be implemented using arrays or linked lists. The document also discusses queues, which follow FIFO order. Key queue operations are enqueue and dequeue. Queues can also be implemented using arrays or linked lists. The document provides examples of implementing both stacks and queues as classes using these underlying data structures.
The document discusses stacks and queues as data structures. It begins by defining a Node struct and List class to implement a linked list. It then provides an overview of stacks, including common stack operations like push and pop. Stacks follow LIFO order and can be implemented using arrays or linked lists. The document also discusses queues, which follow FIFO order. Key queue operations are enqueue and dequeue. Queues can also be implemented using arrays or linked lists. The document provides examples of implementing both stacks and queues as classes using these underlying data structures.
The document discusses stacks and queues as data structures. It begins by defining a Node struct and List class to implement a linked list. It then provides an overview of stacks, including common stack operations like push and pop. Stacks follow LIFO order and can be implemented using either arrays or linked lists. The document also discusses queues, which follow FIFO order. Like stacks, queues support basic operations like enqueue and dequeue and can be implemented with arrays or linked lists. It provides examples of implementing both stacks and queues as class structures.
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referred to as the "New Great Game." This research centres on the power struggle, considering
geopolitical, geostrategic, and geoeconomic variables. Topics including trade, political hegemony, oil
politics, and conventional and nontraditional security are all explored and explained by the researcher.
Using Mackinder's Heartland, Spykman Rimland, and Hegemonic Stability theories, examines China's role
in Central Asia. This study adheres to the empirical epistemological method and has taken care of
objectivity. This study analyze primary and secondary research documents critically to elaborate role of
china’s geo economic outreach in central Asian countries and its future prospect. China is thriving in trade,
pipeline politics, and winning states, according to this study, thanks to important instruments like the
Shanghai Cooperation Organisation and the Belt and Road Economic Initiative. According to this study,
China is seeing significant success in commerce, pipeline politics, and gaining influence on other
governments. This success may be attributed to the effective utilisation of key tools such as the Shanghai
Cooperation Organisation and the Belt and Road Economic Initiative.
Batteries -Introduction – Types of Batteries – discharging and charging of battery - characteristics of battery –battery rating- various tests on battery- – Primary battery: silver button cell- Secondary battery :Ni-Cd battery-modern battery: lithium ion battery-maintenance of batteries-choices of batteries for electric vehicle applications.
Fuel Cells: Introduction- importance and classification of fuel cells - description, principle, components, applications of fuel cells: H2-O2 fuel cell, alkaline fuel cell, molten carbonate fuel cell and direct methanol fuel cells.
Eric Nizeyimana's document 2006 from gicumbi to ttc nyamata handball play
Data Structures and Agorithm: DS 06 Stack.pptx
1. Data Structure
Lecture No. 6
Stack
Engr. Rashid Farid Chishti
http://youtube.com/rfchishti
http://sites.google.com/site/chishti
International Islamic University H-10, Islamabad, Pakistan
Video Lecture
2. Stacks in real life: stack of books, stack of plates
Add new items at the top
Remove an item at the top
Stack data structure similar to real life: collection of elements arranged in a
linear order.
Can only access element at the top
Stack Operations
Push(X) – insert X as the top element of the stack
Pop() – remove the top element of the stack and return it.
Top() – return the top element without removing it from the stack.
Stacks
4. The last element to go into the stack is the first to come out:
LIFO – Last In First Out.
Implement push() to push data on stack and pop() to get data from stack.
What happens if we call pop() and there is no element?
Have bool IsEmpty() function that returns true if stack is empty, false otherwise.
What happens if we stack is full and we call push() function.
Have a bool IsFull() function, which returns true is stack (or array) is full, false
otherwise.
Stacks Operations
5. #include <iostream>
using namespace std;
class Stack{
private :
enum { MAX = 3 };
int arr[MAX];
int top;
public :
Stack() { top = -1; }
int Top() { return arr[top]; }
bool IsEmpty(){ return top == -1 ;}
bool IsFull() { return top == MAX-1 ;}
int Pop(){
if(IsEmpty()){
cout << "Error: Stack is Emptyn";
return -1;
}
else
5
Example 1: Stack Using Array
return arr[top--];
}
void Push(int x){
if ( IsFull() )
cout << "Error: Stack is Fulln";
else{
arr[++top] = x;
}
}
};
int main( ){
Stack S; S.Push(11); S.Push(22);
S.Push(33); S.Push(44);
cout << S.Pop() << endl;
cout << S.Pop() << endl;
cout << S.Pop() << endl;
cout << S.Pop() << endl;
system("PAUSE"); return 0; }
1 2
6. We can avoid the size limitation of a stack implemented with an array by using
a linked list to hold the stack elements.
As with array, however, we need to decide where to insert elements in the list
and where to delete them so that push() and pop() will run the fastest.
For a singly-linked list, inserting data at start using head pointer takes constant
time and inserting data at end using the current pointer also takes a constant
time.
Removing an element at the start is constant time but removal at the end
required traversing the list to the node one before the last.
So it make sense to place stack elements at the start of the list because insert
and removal are constant time.
Stack Using Linked List
7. Stack using an array. Stack using a Linked List.
Stack Using Linked List
top
2
5
7
1
1 7 5 2
head
8. int pop(){
current = head ;
Data = current -> data ;
head = head -> next ;
delete current ;
return Data ;
}
void Push ( int Data ) {
node *newNode = new node ;
newNode -> data = Data ;
newNode -> next = head ;
head = newNode ;
}
Stack Operations
1 7 5 2
head
9 5 2
head
push(9)
newNode 7
current
Data = 1
9. #include <iostream>
using namespace std;
typedef int Type;
struct Node{
Type data ;
Node * next ;
};
class Stack{
private :
Node* head;
public :
Stack( );
bool Is_Empty();
Type Top();
void Push ( Type Data );
Type Pop ( );
~Stack( ) ;
};
9
Example 2: Stack Using Linked List
Stack::Stack( ){
head = NULL;
}
bool Stack::Is_Empty() {
return head == NULL;
}
Type Stack::Top() {
if ( !Is_Empty() )
return head->data;
return -1;
}
void Stack :: Push ( Type Data ) {
Node *newNode ;
newNode = new Node ;
if ( newNode == NULL ){
cout << endl << "Stack is full" ;
return;
}
1 2
10. newNode -> data = Data ;
newNode -> next = head ;
head = newNode ;
}
Type Stack :: Pop( ) {
if ( Is_Empty() ){
cout << "Stack is empty " ;
return -1 ;
}
Node *current ;
Type Data ;
current = head ;
Data = current -> data ;
head = head -> next ;
delete current ;
return Data ;
}
10
Example 2: Stack Using Linked List
Stack :: ~Stack( ){
Node *current ;
while ( head != NULL ){
current = head ;
head = head -> next ;
delete current ;
}
}
int main( ){
Stack s ;
s.Push (11); s.Push (22); s.Push (33);
cout << s.Pop() << endl;
cout << s.Pop() << endl;
cout << s.Pop() << endl;
cout << s.Pop() << endl;
system("PAUSE");
return 0;
}
3 4
11. Since both implementations support stack operations in constant time, any
reason to choose one over the other?
Allocating and deallocating memory for list nodes does take more time than
pre-allocated array.
Linked List uses only as much memory as required by the nodes; array requires
allocation ahead of time.
Linked List Pointers (head, next) require extra memory.
Array has an upper limit; List is limited by dynamic memory allocation.
Stack: Array or List Linked List
12. Infix expression into its postfix equivalent, or prefix equivalent so that We do
not need to maintain operator ordering, and parenthesis.
After converting into prefix or postfix notations, we have to evaluate the
expression using stack to get the result.
When we make a call from one function to the another function. The address
of the calling function gets stored in the Stack.
Stack can be used for parenthesis checking in our code.
Stack can be used to reverse a string by pushing all letters on stack and then
popping them out.
We need stack in Backtracking algorithms so that we come back to the
previous state and go into some other paths.
Page-visited history in a Web browser
Undo sequence in a text editor
Applications of Stack