Tech Differences

The data structure can be defined as the interpretation of logical relationship existing between the solitary elements of data. The linear and non-linear data structure is the subclassification of the data structure which comes under the Non-primitive data structure. The crucial difference between them is that the linear data structure arranges the data into a sequence and follow some sort of order. Whereas, the non-linear data structure does not organize the data in a sequential manner. The … [Read more...]

Definition and Declaration are very confusing terms if you are new to programming. The two concepts are different in some ways as the definition involve memory assignment to the variables while in declaration memory is not allocated. The declaration can be done more than one time, conversely, an entity can be defined exactly once in a program. The definition is automatically a declaration in most of the scenario. Now let's understand the difference between definition and declaration with the … [Read more...]

Insertion sort and selection sort are the techniques used to sort the data. Majorly insertion sort and selection sort can be differentiated by the method they use to sort the data. The insertion sort inserts the values in a presorted file to sort a set of values. On the other hand, the selection sort finds the minimum number from the list and sort it in some order. Sorting is a basic operation in which the elements of an array is arranged in some specific order to enhance its searchability. … [Read more...]

A simple linear queue can be implemented in various three ways, among which one of the types is a circular queue. The difference between linear and circular queue lies in the structural and performance factors. The essential difference between the linear queue and the circular queue is that the linear queue consumes more space than the circular queue, while the circular queue was devised to limit the memory wastage of the linear queue. The queue can be described as non-primitive linear data … [Read more...]

The algorithms are designed using two approaches that are the top-down and bottom-up approach. In the top-down approach, the complex module is divided into submodules. On the other hand, bottom-up approach begins with elementary modules and then combine them further. The prior purpose of an algorithm is to operate the data comprised in the data structure. In other words, an algorithm is used to perform the operations on the data inside the data structures. A complicated algorithm is split … [Read more...]

There are three types of access protection defined in C++ programming language for hiding the data. Data hiding is an essential part of the object-oriented programming. The private and protected keywords offer the level of access protection to hide the data and function within a class. The private members cannot be inherited while the protected member can be inherited but in a limited range. These specifiers indicate the visibility of the members where private is more restrictive than … [Read more...]

Abstraction and Data hiding are the crucial concepts of the object-oriented programming. Abstraction is a method of expressing the important properties without involving the background details. On the other hand, Data hiding insulates the data from the straight access by the program. Although, both the concepts sound similar in the sense but are different. The abstraction provides a way to create user-defined data types for designing real-world objects having same properties. As against data … [Read more...]