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Time Complexity, Big O notation
The amount of time needed by an algorithm to run to its completion is referred as time complexity. The asymptotic running time of an algorithm is defined in terms of functions. The upper bound for the function 'f' isprovided by the big oh notation (O). Considering 'g' to be a
Define Big Omega notation Big Omega notation (?) : The lower bound for the function 'f' is given by the big omega notation (?). Considering 'g' to be a function from the non-n
The operations of the Symbol ADT The operations of the Symbol ADT are the following. a==b-returns true if and only if symbols a and bare identical. a symbol bin Unico
Q. By giving an example show how multidimensional array can be represented in one the dimensional array.
Q. Explain the result of inserting the keys given. F, S, Q, K, C, L, H, T, V, W, M, R, N, P, A, B, X, Y, D, Z, E in an order to an empty B-tree of degree-3.
Determine the importance of array Arrays are significant since they allow many values to be stored in a single data structure whereas providing very fast access to each value.
In any singly linked list, each of the elements contains a pointer to the next element. We have illustrated this before. In single linked list, traversing is probable only in one d
A graph is a mathematical structure giving of a set of vertexes (v1, v2, v3) and a group of edges (e1, e2, e3). An edge is a set of vertexes. The two vertexes are named the edge en
write a c++ program to find out the area of a curve y=f(x) between x=a and x=b
Define null values. In some cases a particular entity might not have an applicable value for an attribute or if we do not know the value of an attribute for a particular entit
Advantages of dry running a flowchart When dry running a flowchart it's advisable to draw up a trace table illustrating how variables change their values at every stage in the
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