Learn · Numerical Methods And Simulation Techniques For Scientists And Engineers
Lecture 10 of 29Numerical integration
Lec 10: Numerical integration, Trapezoidal rule
Prof. Saurabh Basu · IIT Guwahati
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All the lectures
- Lec 1: Error analysis & estimates, significant digits, convergence
- Lec 2: Roots of Non-linear equations, Bisection method
- Lec 3: Newton Raphson method, Secant method
- Lec 4: Newton Raphson Method
- lec 5: Newton Raphson Method (example), Curve fitting and interpolation of data
- Lec 6: Newton's interpolation formula, statistical interpolation of data
- Lec 7: Linear and Polynomial regression
- Lec 8: Numerical differentiation
- Lec 9: Numerical differentiation, Error analysis
- Lec 10: Numerical integration, Trapezoidal rule
- Lec 11: Simpson's 1/3rd rule
- Lec 12: Simpson's 1/3rd rule, Gaussian integration
- Lec 13: Ordinary Differential equations
- Lec 14: Solution of differential equation, Taylor series and Euler method
- Lec 15: Heun's method
- Lec 16: Runge Kutta method
- Lec 17: Examples of differential equation: Heat conduction equation
- Lec 18: Introduction to Monte Carlo technique
- Lec 19: Details of the Monte Carlo method
- Lec 20: Importance sampling
- Lec 21: Applications: Ising model
- Lec 22: Introduction to Molecular Dynamics
- Lec 23: Verlet algorithm
- Lec 24: Applications of Molecular dynamics
- Live Session 14-09-2021
- Live Session 21-10-2020
- Live Session 26-11-2020
- Live Session 25-10-2019
- Live Session 27-09-2019