- Type
- Final term past paper
- Course
- MTH603 Numerical Analysis
- Size
- PDF 2.7 MB
- Updated
- 23 Oct 2026
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MTH603 finalterm huge file
Numerical analysis (Virtual University of Pakistan)
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MTH603 finalterm huge file
Numerical analysis (Virtual University of Pakistan)
Scan to open on Studocu
Studocu is not sponsored or endorsed by any college or university
File Version v11.02.02 Prepared For: Final Term
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Compiled and Prepared by:
File Version updated on 7/24/2011
Virtual University
of Pakistan
----:Table of Content:----
Table of Content
TABLE OF CONTENT ..................................................................................................................................................................... 1
ERROR .......................................................................................................................................................................................... 6
Method of Iterations ................................................................................................................................................................. 13
Graeffe’s Root Square Method .................................................................................................................................................. 20 LINEAR EQUATIONS ............................................................................................................................................................................. 20 Gaussian Elimination Method ................................................................................................................................................... 20 Guass-Jordan Elimination Method ............................................................................................................................................ 23 Jacobi’s Iterative Method .......................................................................................................................................................... 23 Gauss-Seidel Iteration Method .................................................................................................................................................. 25
Matrix Inversion ........................................................................................................................................................................ 28 EIGEN VALUE PROBLEMS ...................................................................................................................................................................... 28 Power Method ........................................................................................................................................................................... 28 Jacobi’s Method ......................................................................................................................................................................... 31 INTERPOLATION .................................................................................................................................................................................. 35 Forward Differences .................................................................................................................................................................. 37 Backward Differences ................................................................................................................................................................ 38 Divided Differences .................................................................................................................................................................... 40 By Newton’s Forward Difference Formula ................................................................................................................................. 47 b) By Lagrange’s Formula ......................................................................................................................................................... 48 Langrange’s Interpolation ......................................................................................................................................................... 49 Differentiation Using Difference Operators ............................................................................................................................... 50 NUMERICAL INTEGRATION .................................................................................................................................................................... 51 Trapezoidal Rule ........................................................................................................................................................................ 51 Simpson’s 1/3 and 3/8 rules ...................................................................................................................................................... 55
Taylor Series Method ................................................................................................................................................................. 57 Euler Method ............................................................................................................................................................................. 59 Euler Modified Method:............................................................................................................................................................. 60 Runge-Kutta Method ................................................................................................................................................................. 61
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