About the course

Description:

This Numerical Methods Complete Course covers a wide range of numerical techniques used for solving mathematical problems. From root-finding algorithms to numerical integration and differential equation solvers, this course provides a comprehensive understanding of various numerical methods commonly employed in scientific computing and engineering applications.

Key Highlights:

• Comprehensive coverage of numerical techniques
• Practical applications in scientific computing and engineering
• Hands-on exercises and coding examples

What you will learn:

• Understand Root-finding Algorithms
  Learn various methods like Bisection, Newton-Raphson, and Secant for finding roots of equations.
• Explore Numerical Integration Techniques
  Understand Trapezoidal rule, Simpson's rule, and other numerical techniques for approximating integrals.
• Solve Differential Equations Numerically
  Master numerical techniques like Euler's method, Runge-Kutta methods for solving differential equations.
• Implement Numerical Optimization Algorithms
  Learn optimization techniques like Gradient Descent, Genetic Algorithms for solving complex optimization problems.