In this video, I explain my complete IT-505 Practical Assignment on Design and Analysis of Numerical Algorithms using Python.
Topics Covered:
• Root Finding Methods
• Interpolation Techniques
• Numerical Differentiation
• Numerical Quadrature
• Solving Linear Equations
• Approximation Methods
• Ordinary Differential Equations
Methods Included:
✔ Bisection Method
✔ Regula-Falsi Method
✔ Secant Method
✔ Newton-Raphson Method
✔ Fixed Point Iteration
✔ Lagrange Interpolation
✔ Newton Divided Difference
✔ Gauss Elimination
✔ Jacobi & Gauss-Seidel
✔ Euler Method
✔ Runge-Kutta Method (RK4)
✔ Taylor Series Method and more.
This presentation includes:
• Python implementation
• Code explanation
• Time & Space Complexity
• Convergence analysis
• Numerical results
Assignment by:
Yash Yadav
IIPS, DAVV Indore
Guided by:
Dr. Shaligram Prajapat
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