NOC:Scientific Computing using Python (Hindi)

Lecture 1 - Introduction to Python

Lecture 2 - Introduction to Python (Continued...)

Lecture 3 - Introduction to Python (Continued...)

Lecture 4 - Introduction to Python (Continued...)

Lecture 5 - Introduction to Python (Continued...)

Lecture 6 - Introduction to Python (Continued...)

Lecture 7 - Errors in Computation

Lecture 8 - Errors in Computation (Continued...)

Lecture 9 - Solution of Non-Linear Equation

Lecture 10 - Solution of Non-Linear Equation (Continued...)

Lecture 11 - Solution of Non-Linear Equation (Continued...)

Lecture 12 - Vector and Matrix Norms

Lecture 13 - Solution of System of Linear Equations

Lecture 14 - Solution of System of Linear Equations (Continued...)

Lecture 15 - Positive Definite Matrices

Lecture 16 - Jacobi and Gauss-Seidal Iterative Methods

Lecture 17 - Matrix Eigenvalue Computation: Power Method

Lecture 18 - Gershgorin Theorem

Lecture 19 - Polynomial Interpolation

Lecture 20 - Polynomial Interpolation (Continued...)

Lecture 21 - Polynomial Interpolation (Continued...)

Lecture 22 - Polynomial Interpolation (Continued...)

Lecture 23 - Polynomial Interpolation (Continued...)

Lecture 24 - Polynomial Interpolation (Continued...)

Lecture 25 - Polynomial Interpolation (Continued...) (Spline Method)

Lecture 26 - Least Square Approximation

Lecture 27 - Least Square Approximation (Continued...)

Lecture 28 - Numerical Differentiation

Lecture 29 - Numerical Differentiation (Continued...)

Lecture 30 - Numerical Integration

Lecture 31 - Numerical Integration (Continued...)

Lecture 32 - Numerical Integration (Continued...)

Lecture 33 - Numerical Solution of Initial Value Problems

Lecture 34 - Numerical Solution of Initial Value Problems (Continued...)

Lecture 35 - Numerical Solution of Initial Value Problems (Continued...)

Lecture 36 - Numerical Solution of Boundary Value Problems