📢 Too many exams? Don’t know which one suits you best? Book Your Free Expert 👉 call Now!

  • google app store apple app store
  • ✖

      Question

      In Numerical and Statistical Computing, which method is

      used for solving linear equations with large datasets?
      A Newton's Method Correct Answer Incorrect Answer
      B Gaussian Elimination Correct Answer Incorrect Answer
      C Lagrange Interpolation Correct Answer Incorrect Answer
      D Gradient Descent Correct Answer Incorrect Answer
      E Euler's Method Correct Answer Incorrect Answer

      Solution

      Correct Option: Gaussian Elimination (B) is used for solving systems of linear equations, particularly when dealing with large datasets. It simplifies the matrix of coefficients to a reduced form, making the solution easier. Why Other Options Are Wrong: A) Newton's Method: Newton’s method is used for finding successively better approximations to the roots (zeros) of a real-valued function, not for solving systems of equations. C) Lagrange Interpolation: This is a polynomial interpolation method used for estimating values between known data points, not solving systems of linear equations. D) Gradient Descent: This is an optimization algorithm used in machine learning, not for directly solving systems of linear equations. E) Euler's Method: Euler’s method is used for solving ordinary differential equations, not for linear systems.

      Practice Next
      More Basics of Computers Questions
      ask-question