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Explain the Interfaces in Ruby
Recall that in object-oriented programming, an interface is a collection of abstract operations that cannot be instantiated. Even though Ruby is object-oriented, it doesn't have interfaces. Interface-like classes can be constructed in Ruby by creating classes whose operations have empty bodies. These pseudo-interface classes can be used as super-classes of classes which implement the interface. Pseudo-interface classes can still be instantiated and their operations can still be known as without overriding them, so they are only a bit like real interfaces. One way to make them more like interfaces, though, is to implement the operations in pseudo-interface so that they raise exceptions if they are called. This forces sub-classes to override the operations in these pseudo-interface classes before they can be used.
Implementation of queue using a singly linked list: While implementing a queue as a single liked list, a queue q consists of a list and two pointers, q.front and q.rear.
B i n a ry Search Algorithm is given as follows 1. if (low > high) 2. return (-1) 3. mid = (low +high)/2; 4. if ( X = = a [mid]) 5. return (mid); 6.
An algorithm is a sequence of steps to solve a problem; there may be more than one algorithm to solve a problem. The choice of a particular algorithm depends upon following cons
Please give the code to this programme
For the Oscillating sort to be applied, it is necessary for the tapes to be readable in both directions and able to be quickly reversed. The oscillating sort is superior to the po
c++ To calculate the amount to be paid by a customer buying yummy cupcakes for his birth day party
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
Q . Write down the non-recursive algorithm to traverse a tree in preorder. Ans: T he Non- Recursive algorithm for preorder traversal is written below: Initially i
Define the Internal Path Length The Internal Path Length I of an extended binary tree is explained as the sum of the lengths of the paths taken over all internal nodes- from th
Here, m represents the unordered array of elements n represents number of elements in the array and el represents the value to be searched in the list Sep 1: [Initialize]
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