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Aug 2, 2024 · Equivalence Relation is a type of relation that satisfies three fundamental properties: reflexivity, symmetry, and transitivity. These properties ensure that it defines a partition on a set, where elements are grouped into equivalence classes based on their similarity or equality.
Jul 31, 2024 · Tree Traversal techniques include various ways to visit all the nodes of the tree. Unlike linear data structures (Array, Linked List, Queues, Stacks, etc) which have only one logical way to traverse them, trees can be traversed in different ways.
Jul 29, 2024 · Prerequisite: Django models Django models represent real-world entities, and it is rarely the case that real-world entities are entirely independent of each other. Hence Django supports relational databases and allows us to establish relations between different models. There are three types of relational fields which Django supports: many-to-one, m
Aug 7, 2024 · Prerequisite - Solving Recurrences, Different types of recurrence relations and their solutions, Practice Set for Recurrence Relations The sequence which is defined by indicating a relation connecting its general term an with an-1, an-2, etc is called a recurrence relation for the sequence. Types of recurrence relations First order Recurrence relat
1 day ago · X-axis or Real Axis. All the purely real complex numbers are uniquely represented by a point on it. Real part Re(z) of all complex numbers are plotted with respect to it. That’s why X-axis is also called Real axis. Y-axis or Imaginary Axis. All the purely imaginary complex numbers are uniquely represented by a point on it.
Jul 31, 2024 · One of the most common real-world examples of a graph is Google Maps where cities are located as vertices and paths connecting those vertices are located as edges of the graph. A social network is also one real-world example of a graph where every person on the network is a node, and all of their friendships on the network are the edges of the ...
6 days ago · A static graph is a type of graph where the vertices, edges, and vertex features remain unchanged throughout the computation process. In contrast, a dynamic graph changes over time, with vertices (and their features) and edges (and their features) being added, removed, or updated to reflect evolving relationships.
