Course11110213765 lectures
Scientific Computing using Matlab
Prof. Mani Mehra Prof. Vivek K. Aggarwal · IIT Delhi Delhi Technological University
Lectures
MATLAB
- Introduction to Matlab
- Plotting of Functions in Matlab
- Symbolic Computation in Matlab
- Functions definition in Matlab
- In continuation of basics of Matlab
Module 2
- 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
Module 3
- 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
Module 4
- 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
Module 5
- 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
Module 6
- 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
Module 7
- 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
Module 8
- 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
Module 9
- 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
Module 10
- 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
Module 11
- 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
Module 12
Syllabus and materials
At NPTEL, as the course publishes them.
Credits and licence
- Institution
- IIT Delhi Delhi Technological University
- Department
- Mathematics
- Teacher
- Prof. Mani Mehra Prof. Vivek K. Aggarwal
- Level
- Undergraduate
- Language
- English
- Subjects
- Mathematics
- Source
- NPTEL
- Licence
- CC BY-NC-SA, as NPTEL states it. Non-commercial use only. NPTEL's terms
- Attribution
- NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge. Coordinated by IIT Delhi.
- Who can watch
- NPTEL gives no rating. Invisible Network shows it to Tweens profiles and older, judged from what the source says about it. How courses are placed
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