S .No Term Paper Topics Roll No Roll No Roll No 1 Data Representation & computer Arithmetic

1 25 26

2 Number System & Storage of Numbers

2 63

3 Errors & Measures of Accuracy

3 82 28

4 Convergence of Iterative Methods

4 83 29

5 False Position Method and also give comparative study of other methods for non-linear =n in the form of table

24 84 30

6 Bisection Method and also give comparative study of other methods for non-linear =n in the form of table

6 85 62

7 Secant Method and also give comparative study of other methods for non-linear =n in the form of table

52 87 32

8 Newton Raphson Method and also give comparative study of other methods for non-linear =n in the form of table

8 51 33

9 Method Of Successive Approximation and also give comparative study of other methods for non-linear =n in the form of table

9 54 34

10 Gauss Elimination Method and also give comparative study of other methods for linear =n in the form of table.

53 55 35

11 Gauss Jordon Method and also give comparative study of other methods for linear =n in the form of table.

11 56 36

12 Matrix Inverse Method and also give comparative study of other methods for linear =n in the form of table.

12 57 37

13 Jacob's Method and also give comparative study of other 13 61 38

methods for linear =n in the form of table.

14 Gauss Seidel Method and also give comparative study of other methods for linear =n in the form of table.

14 64 39

15 Lagrangian Interpolation & Newton’s Method Of Interpolation Method and also give comparative study of other methods in the form of table.

15 65 40

16 Differentiating a Graphical, tabulated function & Newton Cotes Integration Formulae with examples

16 66 41

17 Trapezoidal rule and comparison with other methods of Numerical Differentiation & Integration

17 86 42

18 Simpson’s 1/3rd rule and comparison with other methods of Numerical Differentiation & Integration

18 43

19 Simpson’s 3/8th rule and comparison with other methods of Numerical Differentiation & Integration

19 44

20 Adaptive Integration (modified Trapezoidal & Simpson’s) rule for known functions

20 48

21 Computational complexity of mathematical operations

21 46

22 Correlation and regression

22 47

23 Probability (Bayes theorem )

23

24 Differentiation and integration by Euler’s method and also do the comparative study

49