Learn · Scientific Computing using Matlab
Lecture 22 of 65Module 5
LU Decomposition Method for Solving Linear System of Equations
Prof. Mani Mehra Prof. Vivek K. Aggarwal · IIT Delhi Delhi Technological University
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- Scientific Computing using Matlab, IIT Delhi Delhi Technological University (at NPTEL)
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All the lectures
- Introduction to Matlab
- Plotting of Functions in Matlab
- Symbolic Computation in Matlab
- Functions definition in Matlab
- In continuation of basics of Matlab
- In continuation of basics of Matlab (contd...)
- Floating point representation of a number
- Errors arithmetic
- Iterative method for solving nonlinear equations
- Bisection method for solving nonlinear equations
- Order of Convergence of an Iterative Method
- Regula-Falsi and Secant Method for Solving Nonlinear Equations
- Raphson method for solving nonlinear equations
- Newton-Raphson Method for Solving Nonlinear System of Equations
- Matlab Code for Fixed Point Iteration Method
- Matlab Code for Newton-Raphson and Regula-Falsi Method
- Matlab Code for Newton Method for Solving System of Equations
- Linear System of Equations
- Linear System of Equations (contd.)
- Gauss Elimination Method for solving Linear System of Equation
- Matlab Code for Gauss Elimination Method
- LU Decomposition Method for Solving Linear System of Equations
- LU Decomposition Method for Solving Linear System of Equations (contd.)
- Iterative Method for Solving Linear System of Equations
- Iterative Method for Solving Linear System of Equations (contd.)
- Matlab Code for Gauss Jacobi Method
- Matlab Code for Gauss Seidel Method
- Matlab Code for Gauss Seidel Method
- Power Method for Solving Eigenvalues of a Matrix
- Power Method for Solving Eigenvalues of a Matrix (Contd.)
- Gershgorin Circle Theorem for Estimating Eigenvalues of a Matrix
- Gershgorin Circle Theorem for Estimating Eigenvalues of a Matrix
- Matlab Code for Power Method/ Shifted Inverse Power Method
- Interpolation
- Interpolation (Contd.)
- Interpolation (Contd.)
- Interpolating Polynomial Using Newton's Forward Difference Formula
- Error Estimates in Polynomial Approximation
- Interpolating Polynomial Using Newton's Backward Difference Formula
- Stirling's Formula and Lagrange's Interpolating Polynomial
- In Continuation of Lagrange's Interpolating Formula
- Interpolating Polynomial Using Newton's Divided Difference Formula
- Examples Based on Lagrange's and Newton's Divided Difference Interpolation
- Spline Interpolation
- Cubic Spline
- Cubic Spline (contd.)
- Curve Fitting
- Quadratic Polynomial Fitting and Code for Lagrange's Interpolating Polynomial using Octave
- Matlab Code for Newton's Divided Difference and Least Square Approximation
- Matlab Code for Cubic Spline
- Numerical Differentiation
- Various Numerical Differentiation Formulas
- Higher Order Accurate Numerical Differentiation Formula For First Order Derivative
- Higher Order Accurate Numerical Differentiation Formula For Second Order Derivative
- Numerical Integration
- Trapezoidal Rule for Numerical Integration
- Simpson's 1/3 rule for Numerical Integration
- Simpson's 3/8 Rule for Numerical Integration
- Method of Undetermined Coefficients
- Octave Code for Trapezoidal and Simpson's Rule
- Taylor Series Method for Ordinary Differential Equations
- Linear Multistep Method (LMM) for Ordinary Differential Equations
- Convergence and Zero Stability for LMM
- Matlab/Octave Code for Initial Value Problems
- Advantage of Implicit and Explicit Methods Over Each other via Matlab/Octave Codes for Initial value Problem