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Lec 1 Error analysis estimates significant digits convergence

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Lessons List | 25 Lesson

Numerical Methods and Simulation Techniques for Scientists and Engineers Intro Video

Numerical Methods and Simulation Techniques for Scientists and Engineers Intro Video

Lec 1 Error analysis estimates significant digits convergence

Lec 1 Error analysis estimates significant digits convergence

Lec 2 Roots of Non linear equations Bisection method

Lec 2 Roots of Non linear equations Bisection method

Lec 3 Newton Raphson method Secant method

Lec 3 Newton Raphson method Secant method

Lec 4 Newton Raphson Method Examples

Lec 4 Newton Raphson Method Examples

Lec 5 Curve fitting and interpolation of data

Lec 5 Curve fitting and interpolation of data

Lec 6 Newton s interpolation formula statistical interpolation of data

Lec 6 Newton s interpolation formula statistical interpolation of data

Lec 7 Linear and Polynomial regression

Lec 7 Linear and Polynomial regression

Lec 8 Numerical differentiation

Lec 8 Numerical differentiation

Lec 9 Numerical differentiation Error analysis

Lec 9 Numerical differentiation Error analysis

Lec 10 Numerical integration Trapezoidal rule

Lec 10 Numerical integration Trapezoidal rule

Lec 11 Simpson s 1 3rd rule

Lec 11 Simpson s 1 3rd rule

Lec 12 Simpson s 1 3rd rule Gaussian integration

Lec 12 Simpson s 1 3rd rule Gaussian integration

Lec 13 Ordinary Differential equations

Lec 13 Ordinary Differential equations

Lec 14 Solution of differential equation Taylor series and Euler method

Lec 14 Solution of differential equation Taylor series and Euler method

Lec 15 Heun s method

Lec 15 Heun s method

Lec 16 Runge Kutta method

Lec 16 Runge Kutta method

Lec 17 Examples of differential equation Heat conduction equation

Lec 17 Examples of differential equation Heat conduction equation

Lec 18 Introduction to Monte Carlo technique

Lec 18 Introduction to Monte Carlo technique

Lec 19 Details of the Monte Carlo method

Lec 19 Details of the Monte Carlo method

Lec 20 Importance sampling

Lec 20 Importance sampling

Lec 21 Applications Ising model

Lec 21 Applications Ising model

Lec 22 Introduction to Molecular Dynamics

Lec 22 Introduction to Molecular Dynamics

Lec 23 Verlet algorithm

Lec 23 Verlet algorithm

Lec 24 Applications of Molecular dynamics

Lec 24 Applications of Molecular dynamics

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Course Description

Polynomial Regression course in hindi, in this course explore the use of polynomial functions to model non-linear relationships between variables in statistical analysis and machine learning.

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