Lecture 25 Runge-Kutta 4th Order Method
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Course Material
- Lecture 1:Introduction
- Lecture 2:Basics of Mathematical Methods
- Lecture 3:Measuring Errors
- Lecture 4:Sources of Error
- Lecture 5:Binary Representation
- Lecture 6: Floating Point Representation
- Lecture 7: Propagation of Errors
- Lecture 8: Taylor Series Revisited
- Lecture 9: Differentiation of Continuous Functions
- Lecture 10: Differentiation of Discrete Functions
- Lecture 11: Bisection Method
- Lecture 12 Newton-Raphson Method
- Lecture 13: Secant Method
- Lecture 14: False Position Method
- Lecture 15 Gaussian Elimination
- Lecture 16: Gauss-Seidel Method
- Lecture 17 Polynomial Interpolation or Direct Method of Interpolation
- Lecture 18 Lagrange Method for Interpolation
- Lecture 19 Spline Interpolation Method
- Lecture 20 Trapezoidal Rule of Integration
- Lecture 21 simpson One Third
- Lecture 22: simpson3 by 8 Rule
- Lecture 23: Euler Method
- Lecture 24 Runge-Kutta 2nd Order Method
- Lecture 25 Runge-Kutta 4th Order Method
- Lecture 26: Matlab Simulations
- Lecture 26-32 Hands on Practice\ MATLAB - Implementation Guide
- Chapters 27
- Department Physics
- Teacher
Dr. Farhat Iqbal
