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Explain the Arrays in Ruby
Ruby arrays are dynamic arrays which expand automatically whenever a value is stored in a location beyond current end of the array. To the programmer, it's as if arrays are unbounded and as many locations as are needed are available. Locations not assigned a value in an expanded array are initialized to nil by default. Ruby also has an interesting indexing mechanism for arrays. Array indices begin at 0 so, for instance, a[13] is the value in the 14th position of the array. Negative numbers are indices of elements counting from current end of the array, so a[-1] is the last element, a[-2] is the second to last element, and so forth. Array references which use an out-of-bound index return nil. These features combine to make it difficult to write an array reference which causes an indexing error. This is apparently a great convenience to the programmer however actually it's not since it makes it so hard to find bugs: many unintended and erroneous array references are legal.
Q. Give the adjacency matrix for the graph drawn below: Ans: Adjacency matrix for the graph given to us
Write an algorithm to calculate a postfix expression. Execute your algorithm using the given postfix expression as your input : a b + c d +*f ↑ . T o evaluate a postfix expr
How sparse matrix stored in the memory of a computer?
An adjacency matrix representation of a graph cannot having information of : Parallel edges
Define a B-Tree Justas AVL trees are balanced binary search trees, B-trees are balanced M-way search trees. A B-Tree of order M is either the empty tree or it is an M-way searc
floyd warshall algorithm
Q. Which are the two standard ways of traversing a graph? Explain them with an example of each. Ans: T he two ways of traversing a graph are written below
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.
Tree is dynamic data structures. Trees can expand & contract as the program executes and are implemented via pointers. A tree deallocates memory whereas an element is deleted.
This section prescribes additional exercise with the recursive and iterative handling of a binary search tree. Adding to the Binary Search Tree Recursively Add implementation
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