1. State the iterative formula for regula falsi method to solve f(x)=0 (1 mark QP B-3849, KU Dec 2016)
2. What is accuracy ? (1 mark QP B-3849, KU Dec 2016)
3. Define convergence of iteration process. (1 mark QP B-3849, KU Dec 2016)
4. State Newton Raphson formula. (1 mark QP B-3849, KU Dec 2016)
5. Define iteration. (1 mark QP B-3849, KU Dec 2016)
6. Solve
for the root between x=2 and x=4 by bisection method. (2 mark QP B-3849, KU Dec 2016)
7. Write the algorithm to implement linear regression. (2 mark QP B-3849, KU Dec 2016)
8. Compare Newton's formula with Lagrange's formula. (2 mark QP B-3849, KU Dec 2016)
9. Find the root of the equation
in the vicinity of x=0 using Newton Raphson method. (4 mark QP B-3849, KU Dec 2016)
10. Determine a real root of the equation
by the method of false position correct to three decimal places. (4 mark QP B-3849, KU Dec 2016)
11. Use Lagrange's formula to find the value of y at x=6 from the following data.
f(3)=168, f(7)=120, f(9)=72,f(10)=63. (4 mark QP B-3849, KU Dec 2016)
12. For the following table of values estimate f(0.15) using Newton's backward formula
x 0.1 0.2 0.3 0.4 0.5
y 0.09983 0.19867 0.29552 0.38942 0.47943 (4 mark QP B-3849, KU Dec 2016)
Set2-module1-BCA S3-NM-https://ellipticalkoyal.blogspot.com/2019/01/bca-s3-computer-oriented-numerical_15.html
set3-module1-BCA-S3-NM-http://ellipticalkoyal.blogspot.com/2019/01/bca-s3-computer-oriented-numerical_56.html
2. What is accuracy ? (1 mark QP B-3849, KU Dec 2016)
3. Define convergence of iteration process. (1 mark QP B-3849, KU Dec 2016)
4. State Newton Raphson formula. (1 mark QP B-3849, KU Dec 2016)
5. Define iteration. (1 mark QP B-3849, KU Dec 2016)
6. Solve
7. Write the algorithm to implement linear regression. (2 mark QP B-3849, KU Dec 2016)
8. Compare Newton's formula with Lagrange's formula. (2 mark QP B-3849, KU Dec 2016)
9. Find the root of the equation
10. Determine a real root of the equation
11. Use Lagrange's formula to find the value of y at x=6 from the following data.
f(3)=168, f(7)=120, f(9)=72,f(10)=63. (4 mark QP B-3849, KU Dec 2016)
12. For the following table of values estimate f(0.15) using Newton's backward formula
x 0.1 0.2 0.3 0.4 0.5
y 0.09983 0.19867 0.29552 0.38942 0.47943 (4 mark QP B-3849, KU Dec 2016)
Set2-module1-BCA S3-NM-https://ellipticalkoyal.blogspot.com/2019/01/bca-s3-computer-oriented-numerical_15.html
set3-module1-BCA-S3-NM-http://ellipticalkoyal.blogspot.com/2019/01/bca-s3-computer-oriented-numerical_56.html
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