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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.
Example of worse case of time
Now, consider a function that calculates partial sum of an integer n. int psum(int n) { int i, partial_sum; partial_sum = 0; /* L
Write a program to create a hashed file that stores the records currently in the file " data_2013 ". Records should use the same fixed-length schema given previously, and should ag
Consider the file " search_2013 ". This is a text file containingsearch key values; each entry is a particular ID (in the schema given above). You are tosimulate searching over a h
Explain Floyd's algorithm It is convenient to record the lengths of shortest paths in an n by n matrix D known as the distance matrix: the element d ij in the i th row an
I=PR/12 numbers of years : Interest Rate up to 1 years : 5.50 Up to 5 years : 6.50 More than 5 year : 6.75 please design an algorithm based on the above information
Run time complexity of an algorithm is depend on
Q. What do you mean by the best case complexity of quick sort and outline why it is so. How would its worst case behaviour arise?
A binary tree of depth "d" is an almost complete binary tree if A) Every leaf in the tree is either at level "d" or at level "d-1" B) For any node "n" in the tree with a
A Sort which relatively passes by a list to exchange the first element with any element less than it and then repeats with a new first element is called as Quick sort.
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