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       Links 
                   Ministery of Higher Education 
                            Ministery of Higher Education in 
                              Erbil   
                              Salahaddin University
                             
                          University of Sulaimani    
                              Koya University    
                              University 
                              of Kurdistan   
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      Numerical Analysis
Total hours:60 theory + 60 practice.       
 The aim of this subject is: 
 The purpose of numerical analysis is two-fold:
 to find acceptable approximate solutions when exact solutions are either impossible or so arduous and time-consuming as to be impractical,
 to devise alternate methods of solution better suited to the capabilities of computers.   
Subjects Names: 
- Numerical Analysis :
 
 
- Introduction(Definition of  Numerical Analysis )
 - some type of Errors
 - Absolute Error
 - Relative Error
 - Rounding Error 
  
- Solution of nonlinear Equations:
  
- Introduction
 - bisection method
 - False position method
 - Secant method
 - Newton- Raphson method
 - Fixed point theorem.
 - Steffensen's method
 - Horner's method
  
- Solution of  system  nonlinear Equations:
 
- Newton –Raphson method ( for system)
 - Fixed point method (for system)
  
- Direct Methods for solving linear system:
 
- Introduction to vectors and metrices 
 - Upper-triangular linear system
 - Gaussian Elimination
 - Triangular factorization.
  
- Iterative methods for solving linear system:
 
- Jacobi's method
 - Gauss –Siedal method.
  
- Numerical interpolation and Extrapolation:
 
- Lagrange method
 - Finite differences
 - forward differences
 - backward differences
 - Newton differences
  
- Numerical Differentiation:
 
- Introduction
 - Numerical Differentiation Formula
 - Approximation the Derivative.
  
- Numerical integration :
 
- Introduction 
 - Composite Trapezoidal Rule
 - Composite Simpson's Rule
 - Romberg Integration
 - Gauss Legendre integration
  
- Solution of Differential equation:
 
- Introduction
 - Taylor methods
 - Euler's method
 - Modified Euler's method
 - Heun's method
 - Midpoint method
 - Runge-Kutta Method of second order
 - Runge-Kutta Method of fourth order
System of Differential Equations
   
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References 
Atkinson, L.V. and Harley, P.j.,"An Introduction to Numerical methods with Pascal". Addoson-wesely Publishing company, 1983.
 Burden, B.l. and Faires, J.I. "Numerical Analysis", printed in United state of America, seventh edition 2001.
 Conte, S.D. and Deboor, C. "Elementary Numerical analysis", McGraw-Hill Book Company, Newyork. Third edition, 1980.
 Lambert, J.D., "Cmputational methods in ordinary Differential Equation", printed in Great Britain by J.w.Arrowsmith, Ltd, Bristol. 1981.
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