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Question

Match the LIST-I with LIST-II
LIST-I
LIST-II
A. Gauss Seidel method
I. Interpolation
B. Forward Newton method
II. Non-linear Differential equation
C. Runge Kutta method
III. Numerical Integration
D. Trapezoidal rule
IV. Linear algebraic equations

Choose the correct answer from the options given below:

The correct answer is
A- IV, B - I, C - II, D - III

Gauss Seidel Method for Linear Algebraic Equations

The Gauss Seidel method is an iterative algorithm primarily utilized to solve systems of linear algebraic equations. It refines the solution iteratively, using the most recently computed values of the variables in each step, which generally leads to faster convergence for certain types of systems.

Forward Newton Method in Interpolation

The Forward Newton method, often referred to as Newton's forward difference formula, is a technique used in numerical analysis for interpolation. This method constructs a polynomial that passes exactly through a given set of data points, enabling estimation of function values at intermediate points.

Runge Kutta Method for Differential Equations

The Runge Kutta method encompasses a family of powerful numerical techniques used for approximating solutions to ordinary differential equations (ODEs). It is particularly effective for problems involving non-linear differential equations, where finding exact analytical solutions can be challenging.

Trapezoidal Rule in Numerical Integration

The Trapezoidal rule is a widely applied method for approximating the value of a definite integral, falling under the umbrella of numerical integration. It approximates the area under a curve by dividing the integration interval into smaller segments and treating each segment as a trapezoid.

Summary of Method Matching

Below is a breakdown matching the methods presented in LIST-I with their corresponding applications in LIST-II:

LIST-I Method LIST-II Application Key Purpose
A. Gauss Seidel method IV. Linear algebraic equations Iterative solution for linear systems.
B. Forward Newton method I. Interpolation Polynomial interpolation using differences.
C. Runge Kutta method II. Non-linear Differential equation Numerical approximation for ODEs.
D. Trapezoidal rule III. Numerical Integration Approximation of definite integrals.
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