Articles by "Numerical Method"
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 Here are some important studying material (Syllabus, Books, Lecture's notes, Old question, Numerical solution etc) on various subjects of 4th semester. These  materials would be very useful for student, researcher, co-worker related to the field of Agricultural Engineering. 

 Hydraulics

 Surveying and Levelling

 Theory of Structures

 Numerical Methods

 Farm Machines

 

 


Subject:- Numerical Method (SH553)

Exam

Regular

Level

BE

Full Marks

80

Program

B. Agri

Pass mark

32

Year/part

II/II

Time

3 hrs

Tribhuwan University

Institute of Engineering

Examination Control Division

2073 Bhadra

 

 

 

 

 

 

 

 

ü  Candidates are required to give their answer in their own words as far as practicable.

ü  Attempt All questions.

ü  The figures in the margin indicate Full marks.

ü  Assume suitable data if necessary.

1.     Discuss the difference between absolute error and relative error with appropriate examples. [4]

2.     Write an algorithm of Secant method for finding a real root of a non linear equation. [4]

3.     Find a real root of the equation sinx= correct up to four decimal places using N-R method. What are the limitations of this method?

4.     Apply Gauss Seidal Iterative Method to solve the linear equations correct to 2 decimal places. [8]

10x+y-z=11.19, x+10y+z=28.08, -x+y+10z=35.61

5.     Find the dominant Eigen value and the corresponding Eigen vector of the given matrix using power method. 

6.     What is the practical significance of the least square method of curve fitting? Describe the normal equations to fit a given set of data to a linear equation y=ax+b [2+6]

7.     Using stirling formula find , given;

8.     Estimate the value of cos(1.74) from the following data: [4]

x

1.7

1.74

1.78

1.82

1.86

Sin(x)

0.9916

0.9857

0.9781

0.9691

0.9585

9.     Evaluate  using the three point Gaussian quadrature formula. [6]

10.                                                                                                                                                                                                                       Solve the following simultaneous differential equation using Runge-Kutta second order method at x=0.1 and 0.2 dy/dx =xz+1; dz/dx=-xy with initial conditions y(0)=0, z(0)=1 [6]

11.                                                                                                                                                                                                                       Write a program in any high level language (C/C++/FORTAN) to solve a first order initial value problem using classical RK-4 Method. [6]

12.                                                                                                                                                                                                                       Solve the elliptic equation on the square mesh bounded by  The boundary values are u(x,0)=10, u(x,3)=90,  and u(0,y)=70, u(3,y)=0,  0<y<3

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Source:- Department of agricultural engineering,                                             Technical support:- Paudelpadamprasad



NUMERICAL METHODS
SH 553
Lecture        :   3                                                                                              Year   :   II
Tutorial        :   1                                                                                              Part    :   II
Practical      :   3

Course objective:  
The course aims to introduce numerical methods used for the solution of engineering problems. The course emphasizes algorithm development and programming and application to realistic engineering problems.

1.             Introduction, Approximation and errors of computation              (4 hours)               
1.1.        Introduction, Importance of Numerical Methods
1.2.        Approximation and Errors in computation
1.3.        Taylor's series
1.4.        Newton's Finite differences (forward , Backward, central difference, divided difference)
1.5.        Difference operators, shift operators, differential operators
1.6.        Uses and Importance of Computer programming in Numerical Methods.
2.             Solutions of Nonlinear Equations                                                         (5 hours)
2.1.        Bisection Method
2.2.        Newton Raphson method ( two equation solution)
2.3.        Regula-Falsi Method , Secant method
2.4.        Fixed point iteration method
2.5.        Rate of convergence and comparisons of these Methods 
3.             Solution of system of linear algebraic equations                              (8 hours)
3.1.        Gauss elimination method with pivoting strategies
3.2.        Gauss-Jordan method
3.3.        LU Factorization
3.4.        Iterative methods (Jacobi method, Gauss-Seidel method)
3.5.        Eigen value and Eigen vector using Power method 
4.             Interpolation                                                                                           (8 hours)
4.1.        Newton's Interpolation ( forward, backward)
4.2.        Central difference interpolation: Stirling's Formula, Bessel's Formula
4.3.        Lagrange interpolation
4.4.        Least square method of fitting linear and nonlinear curve for discrete data and continuous function
4.5.        Spline Interpolation (Cubic Spline)
5.             Numerical Differentiation and Integration                                        (6 hours)
5.1.        Numerical Differentiation formulae
5.2.        Maxima and minima
5.3.        Newton-Cote general quadrature  formula
5.4.        Trapezoidal, Simpson's 1/3, 3/8 rule
5.5.         Romberg integration
5.6.                    Gaussian integration ( Gaussian – Legendre Formula 2 point and 3 point)
6.             Solution of ordinary differential equations                                       (6 hours)
6.1.        Euler's and modified Euler's method
6.2.        Runge Kutta methods  for 1st and 2nd order ordinary differential equations
6.3.        Solution of boundary value problem by finite difference method and shooting method.
7.             Numerical solution of Partial differential Equation                          (8 hours)
7.1.        Classification of  partial differential equation(Elliptic, parabolic, and Hyperbolic)
7.2.        Solution of Laplace equation  ( standard five point formula with iterative method)
7.3.        Solution of Poisson equation (finite difference approximation)
7.4.        Solution of Elliptic equation by  Relaxation Method
7.5.        Solution of one dimensional Heat equation by Schmidt method
Practical:
Algorithm and program development in C programming language of following:
1.             Generate difference table.
2.             At least two from Bisection method, Newton Raphson method, Secant method
3.             At least one from Gauss elimination method or Gauss Jordan method. Finding largest Eigen value and corresponding vector by Power method.
4.              Lagrange interpolation. Curve fitting by Least square method.
5.             Differentiation by Newton's finite difference method.  Integration using Simpson's 3/8 rule
6.             Solution of 1st order differential equation using RK-4 method
7.             Partial differential equation (Laplace equation)
8.             Numerical solutions using Matlab.



References:
1.             Dr. B.S.Grewal, " Numerical  Methods in Engineering and Science ", Khanna Publication, 7th edition.
2.             Robert J schilling, Sandra l harries , " Applied Numerical Methods for Engineers using  MATLAB and C.", 3rd edition Thomson Brooks/cole.
3.             Richard L. Burden, J.Douglas Faires, "Numerical Analysis 7th edition"  ,  Thomson / Brooks/cole
4.             John. H. Mathews, Kurtis Fink ," Numerical Methods Using MATLAB 3rd edition " ,Prentice Hall publication
5.             JAAN  KIUSALAAS , " Numerical Methods in Engineering with MATLAB" , Cambridge Publication



Evaluation scheme:
The questions will cover all the chapters of the syllabus. The evaluation scheme will be as indicated in the table below
Chapters
Hours
Marks distribution*
1 & 2
9
16
3
8
16
4
8
16
5
6
10
6
6
10
7
8
12
Total
45
80









* There could be a minor deviation in the marks distribution