Numerical Analysis – II is a continuation of the study of numerical methods used to solve mathematical problems that cannot be solved analytically. This course typically focuses on advanced techniques for solving systems of linear and nonlinear equations, interpolation and approximation, numerical differentiation and integration, and solving ordinary and partial differential equations. In Numerical Analysis – II, students often explore iterative methods like Newton-Raphson, Gauss-Seidel, and Runge-Kutta methods for solving more complex problems. These techniques are essential in scientific computing, engineering simulations, and real-world problem-solving where exact solutions are difficult or impossible to obtain. The course emphasizes algorithm development, error analysis, and implementation using computational tools such as MATLAB or Mathematica.
📘 Difference Equation and its types (305)
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🎥 Numerical Analysis - II Video Playlist
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