Numerical analysis is a powerful tool for approximating solutions to mathematical problems that are difficult or impossible to solve analytically. This course is designed to equip you with the essential numerical techniques required for the
IIT JAM Math exam.
You'll explore topics like:
Root-Finding Methods: Learn about methods like the bisection method, Newton-Raphson method, and the secant method.
Numerical Integration: Understand techniques like the trapezoidal rule, Simpson's rule, and Gaussian quadrature.
Numerical Solution of Ordinary Differential Equations: Explore methods like Euler's method, the Runge-Kutta method, and predictor-corrector methods.
Interpolation and Approximation: Learn about polynomial interpolation, Lagrange interpolation, and Taylor series approximations.
Through a combination of theoretical explanations, practical examples, and hands-on exercises, you'll gain a strong foundation in numerical analysis and be well-prepared to tackle the challenges of the IIT JAM Math exam.
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