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Basic data structures and algorithms
Basic data structures and algorithms










basic data structures and algorithms

Dequeuing takes place in a manner that the element with a higher priority is dequeued before an element with a lower priority. Some important concepts to master from this topic are given below.Ī priority queue is a queue in which every value is associated with a priority. Each node consists of three fields – data, a pointer to the left child, and a pointer to the right child. A Binary tree is a type of tree data structure in which every node has at most two children. The next step in the data structures roadmap is the Binary Tree. There are two sets of problems under these two topics that are important to be mastered – Implementation Based Problems and Application Based Problems. The former is termed as ‘Enqueuing an element’ and the latter as ‘Dequeuing an element’.

basic data structures and algorithms

The addition of an element to the queue is done to the Back and deletion of an element from the queue is done from the Front. You can see from the above diagram that, a Queue has a Front and a Back. First, take a look at the visual representation of Linked Lists: Important problems to practice from this topic are:Ī linked list is a dynamic linear data structure that consists of nodes where each node consists of two fields – data and pointer. It works by comparing the target element to the middle element of the collection.Ī new collection is formed after every comparison by repeatedly dividing the main collection into halves. Binary Search is a searching algorithm that works on the principle of divide and conquers. The next topic in the data structures roadmap is Binary Search. These are important from the perspective of studying for interviews.Ĭontinuing the data structures roadmap, the two most important sorting algorithms are Insertion Sort and Selection Sort.įor a guided problem bank on Sorting Algorithms, click he r e. There are various types of sorting algorithms that are used to sort data. When we have such astronomical amounts of data, doing operations on it requires it to be ordered in a particular manner depending on the final usage. The topics under this category that you must master are given as follows. It is majorly used in complex problems where we can divide the main problem into smaller subproblems.īacktracking is a programming technique that uses recursion to build an overall solution by incrementally going through smaller levels of the problem until the solution is reached.

basic data structures and algorithms

Recursion is a programming technique in which a function calls itself, directly or indirectly. Therefore masters of this topic are always sought by big product-based companies because it ensures good handling of their data and provides a good measure of a candidate’s problem-solving skills. This efficient organization of data requires programmers who are skilled in the usage of Data Structures and Algorithms. Moreover, product-based companies like Facebook and Google, which have users spread worldwide, have astronomical amounts of data that need to be operated on in the most optimal manner possible. With such large amounts of data, it becomes imperative to derive efficient ways to organize it so that we save on time and memory. Today we live in a world where data is possibly one of the most precious intangible resources out there. This blog is focused on building a data structures roadmap for students and professionals who are keen to learn to program.












Basic data structures and algorithms