QR decomposition | Linear Algebra | Part 1
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QR decomposition | Linear Algebra | Part 1
4 883 просмотра · 8 месяцев назад
Mathematics Tutor
80,1 тыс. подписчиков
4 883 просмотра · 8 месяцев назад
Master QR Decomposition with an important VTU exam question explained step-by-step.
Perfect for BCS405D students to understand how to decompose a matrix into orthogonal and upper triangular matrices.
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📌 Exact Question:
❓ Obtain the Q R decomposition of 3×3 matrix contains
1st column 1 1 1
2nd column 0 1 1
3rd column 0 0 1
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🎯 Learning Points:
✔ Concept of QR Decomposition
✔ Relation with Gram-Schmidt process
✔ Constructing Q (orthonormal matrix)
✔ Constructing R (upper triangular matrix)
✔ Checking possibility of decomposition
✔ Exam-oriented solving method
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📚 Watch Next (Simple Chain):
1️⃣ Matrix Gram-Schmidt
• Gram-Schmidt on 3×3 Matrices | Complete Pr...
2️⃣ QR Decomposition (Next Variation)
• QR Decomposition in 10 Minutes | Linear Al...
3️⃣ QR Decomposition (2×2 Case)
• 2×2 Matrix QR Decomposition | Fastest Meth...
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📘 Module Playlist (Start to Finish):
▶️ BCS405D – Module 4 (Inner Product Spaces)
• Gram Schmidt & QR Decomposition Made Easy ...
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📙 More Practice / Related Method:
1️⃣ Gram-Schmidt Basics
• Convert Any Basis to Orthogonal Basis | Gr...
2️⃣ Orthonormal Basis
• Gram Schmidt Orthonormalization | R³ Ortho...
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🚀 Next Step:
Move to more QR decomposition variations.
📌 Don’t stop here:
Practice QR decomposition repeatedly.
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📘 Subject Details:
📚 Subject Code:
• BCS405D – Linear Algebra
📌 Topic: Inner Product Spaces
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📙 All Playlists (BCS405D):
▶️ Module 1 – Vector Spaces
• BCS405D Module-1: VECTOR SPACES
▶️ Module 2 – Linear Transformations
• BCS405D Module-2: LINEAR TRANSFORMATIONS
▶️ Module 3 – Eigenvalues & Eigenvectors
• BCS405D Module-3: EIGENVALUES AND EIGENVEC...
▶️ Module 4 – Inner Product Spaces
• Gram Schmidt & QR Decomposition Made Easy ...
▶️ Module 5 – Optimization Techniques
• BCS405D Module-5: OPTIMIZATION TECHNIQUES ...
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