B.TechSemester 62023-24Computer Based Numerical TechniquesKOE065

Computer Based Numerical Techniques (KOE065) - AKTU Question Paper 2023-24

B.Tech · Semester 6 · Free PDF Download

This is the official AKTU Computer Based Numerical Techniques Previous Year Question Paper for B.Tech Semester 6, academic session 2023-24. Published by Dr. A.P.J. Abdul Kalam Technical University (AKTU/UPTU), Lucknow. Free PDF download — no login required.

Course:B.Tech
Semester:Semester 6
Session:2023-24
University:AKTU / UPTU

Rate this paper

Questions Asked in 2023-24

Computer Based Numerical Techniques (KOE065) — complete question paper · 100 marks · 3 Hours

Section AAttempt all q u e s t i o n s i n b r i e f .
  • a
    Explain the concept of error in a series approximation. 2
  • b
    Give an example of a simple iteration method. 2
  • c
    Evaluate Hermite’s Interpolation. 2
  • d
    What is the principle o f finite difference? 2
  • e
    Distinguish Newton's forward formula and backward formula for numerical differentiation
  • f
    Explain how Lagrange's interpolation can be used for numerical differentiation, even though it's primarily an interpolation method
  • g
    Enumerate types of errors. 2
  • h
    Describe differential equation. 2 i. Explain boundary value problem. 2 j. Explain the calculation of a distillation column. 2
Section BAttempt any three o f t h e f o l l o w i n g :
  • a
    How are rounding and truncation techniques applied to number s, and what are the implications of these operations on accuracy
  • b
    Compare and contrast the use of Gauss forward and backward i nterpolation formulas with central difference formulas like Stirling's, Bessel's, and Everett's formulas. When might one type be preferred over the other?
  • c
    State and derive Simpson's 1/ 3 rule for numerical integratio n. What are its advantages and limitations?
  • d
    Using Picard’s process of successive approximations, obtain a solution up to the fifth approximation of the equation dy/dx  y  x, such that y  1 when x  0
  • e
    Describe the application of finite difference method to solv e eigenvalue problems. 10
Section CAttempt any one p a r t o f t h e f o l l o w i n g :
  • a
    Explain the importance of error analysis and uncertainty qua ntification in scientific and engineering applications, and describe some common methods used for this purpose
  • b
    For the given function f(x) = 𝑥ଷ – x – 1, a real root lies in between the interval [1,2]. Find the minimum number of iterations required to find the root up t o the accuracy of two decimal points
  • a
    Find Solution using Everett's formula For x=1.15
  • b
    How does Newton's divided difference formula differ from the standard Newton's forward and backward difference formulas? Explain its role in polynomial interpolation
  • a
    What is the general form of Newton's forward difference form ula? Derive the formula for the first and second-order approximations
  • b
    Find Solution using Newton's Backward Difference formula
  • a
    Find y(0.2) for y’ = ଶ , 𝑥଴=0, 𝑦଴=1, with step length 0.1 using Runge-Kutta 2 method (1st order derivative)
  • b
    Explain the significance of numerical methods in solving dif ferential equations. Why are analytical solutions not always feasible, and how do numerical methods address these limitations?
  • a
    What is the significance of hyperbolic PDEs and how can they be solved numerically. 10
  • b
    Find the eigenvalues and eigenvectors of

Question text is extracted from the official AKTU question paper PDF above. Hindi translations are omitted — every question is printed in English in the original paper. Last verified: 2026-08-23.

Repeated Questions — KOE065

Questions that appeared in more than one session, found by comparing 3 years of Computer Based Numerical Techniques papers (2021-22, 2022-23, 2023-24)

3x

Find the eigenvalues and eigenvectors of

Appeared in: 2021-22 · 2022-23 · 2023-24

2x

Find Solution using Newton's Backward Difference formula

Appeared in: 2021-22 · 2023-24

Computer Based Numerical Techniques — Other Year Papers

AKTU Computer Based Numerical Techniques PYQs from other sessions

Syllabus & More PYQs

Paper solve karne se pehle unit-wise syllabus dekh lo