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Ans.
An algorithm for the quick sort is as follows:
void quicksort ( int a[ ], int lower, int upper )
{
int i ;
if ( upper > lower ) {
i = split ( a, lower, upper ) ; quicksort ( a, lower, i - 1 ) ; quicksort ( a, i + 1, upper ) ; }
}
int split ( int a[ ], int lower, int upper ){
int i, p, q, t ;
p = lower + 1 ;
q = upper ;
i = a[lower] ;
while ( q >= p )
while ( a[p] < i )
p++ ;
while ( a[q] > i )
q-- ;
if ( q > p )
t = a[p] ; a[p] = a[q] ; a[q] = t ;
t = a[lower] ; a[lower] = a[q] ; a[q] = t ;
return q ; }
Explain process of B-TREE and what difference between AVL Tree Using Algorithms
extra key inserted at end of array is called
Ans. An algorithm for the quick sort is as follows: void quicksort ( int a[ ], int lower, int upper ) { int i ; if ( upper > lower ) { i = split ( a, lower, up
differentiate between indexing and hashing in file organization
/* the program accepts two polynomials as a input & prints the resultant polynomial because of the addition of input polynomials*/ #include void main() { int poly1[6][
null(nil) = true // nil refer for empty tree null(fork(e, T, T'))= false // e : element , T and T are two sub tree leaf(fork(e, nil, nil)) = true leaf(
Q. Make the 11 item hash table resulting from hashing the given keys: 12, 44, 13, 88, 23, 94, 11, 39, 20, 16 and 5 by making use of the hash function h(i) = (2i+5) mod 11.
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
Draw a flowchart of a Booth''s multiplication algorithm and explain it.
You have to design a framework of a Genetic Algorithm (GA) with basic functionality. The basic functionality includes representation, recombination operators, tness function and se
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