QR decomposition | Linear Algebra | Part 1

📘 QR Decomposition using Gram–Schmidt Process Engineering Mathematics | Linear Algebra | VTU Exam Oriented In this video, we obtain the QR Decomposition of the matrix First row: 1 0 0 Second row: 1 1 0 Third row: 1 1 1 Using the Gram–Schmidt Orthogonalization Process, the given matrix A is factorized as A = QR, where Q is an orthonormal matrix and R is an upper triangular matrix. 🔍 What you will learn in this video • Concept of QR Decomposition • Column-wise Gram–Schmidt process • Construction of orthonormal vectors • Formation of Q and R matrices • Step-by-step solution suitable for VTU exams This problem is frequently asked in VTU Engineering Mathematics exams and is very important for Numerical Methods and Linear Algebra. 🎯 Recommended for • VTU B.E./B.Tech students • Linear Algebra learners • Numerical Methods preparation • Exam-oriented revision 👉 Follow VTU Maths with Muheeb (Mathematics Tutor) on WhatsApp https://whatsapp.com/channel/0029Vb6c... 👉 Get all VTU Maths updates and video links on Telegram https://t.me/vtumathswithmathematicst... 💎 Support Us: Join our channel and get access to exclusive perks 👇 🔗    / @officialmathematicstutor   #QRDecomposition #GramSchmidtProcess #LinearAlgebra #EngineeringMathematics #VTUMaths #MatrixDecomposition #ExamPreparation