Numerical Method MCQ

Test your knowledge with important Numerical Method MCQ and their applications. These MCQs are beneficial for competitive exams too. Explore 30 + more Numerical Method MCQs at Bissoy

• Jacobin equation is solved using the
  ক

  Matrix Multiplication

  খ

  LU Factorization

  গ

  Elimination Method

  ঘ

  Follow up method
• The first assumption of the NR Method is
  ক

  Assume K=0

  খ

  Assume Xi = 0

  গ

  Assume F(x) = 0

  ঘ

  Assume F’(x) = 0
• Find XK+1? If Xk = 0.5, consider a difference of 5 stages
  ক

  4.5

  খ

  5.5

  গ

  3.5

  ঘ

  Can’t be calculated
• Solve cos x = 2x?
  ক

  0.6780

  খ

  0.3456

  গ

  0.45018

  ঘ

  0.998
• In quasi Newton Method, Sk represents the
  ক

  Vector factor

  খ

  Scalar factor

  গ

  Separation factor

  ঘ

  Correction factor
• Independent variable are in the range of
  ক

  Tmin< Tj > Tmax

  খ

  Tmin> Tj > Tmax

  গ

  Tmin< Tj > Tmax

  ঘ

  Tj < Tmax
• For any instance, XK+1 is
  ক

  Xk + h

  খ

  Xk + t

  গ

  Xk + X

  ঘ

  Xk + X1
• A square nXn matrix is called
  ক

  Jacobin Matrix

  খ

  Raphson Matrix

  গ

  Newton Matrix

  ঘ

  2N Matrix
• What is Fk?
  ক

  Vector

  খ

  Matrix

  গ

  Factor

  ঘ

  Correction
• In matrix language, The Newton Raphson equation is
  ক

  Ji Yif = -Fk

  খ

  Ji Xif = -Fk

  গ

  Ji Kif = -Fk

  ঘ

  Ji Tif = -Fk