Vector Space Definition in Linear Algebra what is the vector space in linear algebra? The collection of vectors (V1,V2,V3,…..) are said to form a vector space (V) if the following properties are satisfied For any two vectors u,v that belongs Read More …
Author: Asma Mushtaq
Solution of Linear System of Equations using Gauss Elimination

Introduction to Linear system of equations How to solve system of linear equations in Linear Algebra? A linear equation in n variables x1,x2,x3,…..xn is an equation that can be written in the form of where b and coefficients are real Read More …
Design of a 3-bit Up Counter using JK Flip-Flop

Introduction In this article I have descried how to Design of a 3-bit Up Counter using JK Flip-Flop. 3 bit up counter is a synchronous counter that uses three bits at the output for producing the values from 000 to Read More …
Adaptive Huffman Coding with Solved Example-Step by step

Drawback of Huffman Coding Adaptive Huffman Encoding in Data Compression | Unique Example. In Huffman encoding, it is necessary to already know the frequency or probabilities of source sequence. If it is unknown then Huffman encoding can be done is Read More …
Breadth First Search (BFS) and Tree Traversal

Why we need tree structure in graph theory? What is the advantage and what are its applications? In this article, I have discussed in detail about Breadth First Search Algorithm . Trees are important to the structural understanding of graphs Read More …
Find the minterms of the following Boolean expressions by first plotting each function in a map
A minterm is a product (AND operation) of all variables in a Boolean function, either in their true or complemented form, which evaluates to 1 for exactly one combination of inputs. The sum of minterms representation (Sum of Products, SOP) Read More …
How to Create a Test Bench for Verilog HDL Module in Xilinx?
Video Lecture for Creating a Test Bench waveforms for Verilog HDL Module Here is the video lecture for creating the test bench for a module in Xilinx: When designing digital circuits using Verilog HDL, it’s essential to verify the functionality Read More …
Introduction to Machine Learning Techniques

Introduction Machine learning is a transformative branch of artificial intelligence that empowers computers to learn from data and make decisions without explicit programming. At its core, machine learning involves developing algorithms that can recognize patterns, predict outcomes, and adapt to Read More …
What is the Inner Product and Inner Product Space ?

Introduction In mathematics, particularly in linear algebra and functional analysis, the concepts of inner product and inner product space play a crucial role in generalizing geometric ideas like length, angle, and orthogonality to more abstract settings. These concepts are foundational in fields such as Read More …
Text Classification Solved Example Using Naive Bayes Classifier

Text Classification Text classification is a fundamental task in natural language processing (NLP) that involves categorizing text into predefined classes or labels. It is widely used in applications such as spam detection, sentiment analysis, topic labeling, and more. Below is Read More …