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Numerical Methods: Solving System of Linear Equations (Crout's LU Decomposition)

In this video, we review Crout's LU Decomposition methods for solving systems of linear equations in Numerical Analysis and Linear Algebra.
I explain the theory and step-by-step process of the Crout's LU Decomposition algorithm. I also show Python Code to explain how this method works by solving a curve fitting problem.

By the end of this video, you will:
✅ Understand the concept, types and steps of Crout's LU Decomposition
✅Solve a curve fitting problem using Crout's LU Decomposition in Python.
✅ Learn how this method is applied in science, engineering, data analysis, and computational mathematics

This is part of my Systems of Linear Equations series, where we cover methods like Gauss-Jordan, LU Decomposition, Cholesky, QR, and Gauss-Seidel in detail.

📌 Perfect for students, engineers, and researchers looking to strengthen their numerical computation and Python coding skills.

🔔 Subscribe and follow along with the complete playlist to master linear algebra with Python.

GitHub URL: https://github.com/jubranakram/solving-system-of-linear-equations

#math #maths #mathematics #numericalanalysis #numericalmethods #python #pythonprogramming #solvingequations #solvingsystemsofequationsandinequalities #linearequations #linearalgebra #ludecomposition #crout #doolittle

Видео Numerical Methods: Solving System of Linear Equations (Crout's LU Decomposition) канала MathStatsX
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