Name: Numerical Methods
SKU: 487
Availability: InStock

Numerical Methods

A Numerical Methods course tailored for the Graduate Aptitude Test for Engineering (GATE) is designed to equip students with practical tools for solving complex engineering problems where analytical solutions may be challenging or impractical. The course typically covers numerical techniques for solving equations, interpolation, and approximation of functions. Root-finding methods, such as the bisection method and Newton-Raphson method, are explored. Interpolation methods, including Lagrange interpolation and Newton’s divided differences, are introduced for estimating values between known data points.

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Description

Numerical integration methods, such as the trapezoidal rule and Simpson’s rule, are discussed for approximating definite integrals. Additionally, the course may cover techniques for solving systems of linear equations and ordinary differential equations, which are common in engineering applications. The implementation of these methods using computational tools like MATLAB or Python is often emphasized, enhancing students’ ability to apply numerical techniques to real-world engineering problems. The goal is to prepare engineering graduate students for efficient and accurate numerical analysis, which is crucial for success in the GATE examination and for addressing complex challenges in their future engineering endeavors.