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A stack is a last in, first out (LIFO) abstract data type and sequential data structure. A stack may have any abstract data type as a component, but is characterized by two fundamental functions, called pop and push. The push operation includes a new item to the top of the stack, or starts the stack if it is empty. If the stack is full and does not have enough space to locate the given item, the stack is then goes to be in an overflow state. The pop operation replaces an item from the top of the stack. A pop either converts previously concealed results, or items in an empty stack, but if the stack is empty then it bond into underflow state. A stack pointer is the register which acquires the value of the stack. The stack pointer usually points to the top value of the stack.
A stack is a limited data structure, because only small values of operations are performed on it. The nature of the push and pop operations also seems that stack elements have a sequential order. Components are removed from the stack in the reverse order to the specific order of their addition: therefore, the lower components are those that have been on the stack the longest.
Program: Creation of a Circular linked list ALGORITHM (Insertion of an element into a Circular Linked List) Step 1 Begin Step 2 if the list is empty or new
explain deletion and insertion in a queue
for i=1 to n if a[i}>7 for j=2 to n a[j]=a{j}+j for n=2 to n a[k]=a[j]+i else if a[1]>4 && a[1] for 2 to a[1] a[j]= a{j]+5 else for 2to n a[j]=a[j]+i ..
what are the factors for efficency of algoritms
Draw the process flow diagram: Anand Dairy (AD) sources 150,000 litres of milk daily from large number of local villagers .The milk is collected from 4:00 AM to 6:00 am and
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The ?-Notation (Lower Bound) This notation provides a lower bound for a function to within a constant factor. We write f(n) = ?(g(n)), if there are positive constants n 0 and
Q. Write a procedure to the insert a node into the linked list at a particular position and draw the same by taking an example?
Krushkal's algorithm uses the concept of forest of trees. At first the forest contains n single node trees (and no edges). At each of the step, we add on one (the cheapest one) edg
Time Complexity:- The time complexity of an algorithm is the amount of time it requires to run to completion. Some of the reasons for studying time complexity are:- We may be in
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