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Records are mapped onto a computer store by simply juxtaposing their elements. The address of a component (field) r relative to the origin address of the record r is named the field'si offset k. It is describeded as
k = si 1 + s2 + ... + si-1 k0 = 0
where s is the size (in words) of the j-th element. We now realize that the fact that all elements of an array are of same kind has the welcome consequence that k = i×s. The generality of the record structure does unfortunately not give such a simple, linear method for offset address computation, and it is therefore the best reason for the need that record elements be selectable only by fixed identifiers. This restriction has the available benefit that the respective offsets are find at compile time. The assigning greater efficiency of record field access is well-known.
The method of packing can be beneficial, if several record elements can be fitted into a single storage word. Since offsets are computable by the compiler, the offset of a field packed within a class can also be described by the compiler. This seems that on many computers packing of records causes a deterioration in access efficiency considerably lesser than that caused by the packing of arrays.
The maximum degree of any vertex in a simple graph with n vertices is (n-1) is the maximum degree of the vertex in a simple graph.
The complexity Ladder: T(n) = O(1). It is called constant growth. T(n) does not raise at all as a function of n, it is a constant. For illustration, array access has this c
Merging 4 sorted files having 50, 10, 25 and 15 records will take time O (100)
If a node in a BST has two children, then its inorder predecessor has No right child
/* The program accepts matrix like input & prints the 3-tuple representation of it*/ #include void main() { int a[5][5],rows,columns,i,j; printf("enter the order of
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since the gregorian calendar was introduced in 1752,a leap year occurs every 4 years.you are to write a pseudo code to find out whether a year is a leap year.your progrm should dis
Prim's algorithm employs the concept of sets. Rather than processing the graph by sorted order of edges, this algorithm processes the edges within the graph randomly by building up
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