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Numerical : Unit I

Authored by hema latha

Mathematics

University

CCSS covered

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Numerical : Unit I
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20 questions

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1.

MULTIPLE SELECT QUESTION

2 mins • 1 pt

Numerical methods ..

is to find the exact solutions of mathematical problems.

is a study of algorithms that use numerical approximations in solving problems.

should be accurate and precise enough for particular problems.

Tags

CCSS.8.EE.C.7B

2.

MULTIPLE CHOICE QUESTION

2 mins • 1 pt

A theorem that guaranteed that there is at least a root in the interval is

Rolle's Theorem

Extreme Value Theorem

Intermediate Value Theorem

3.

MULTIPLE SELECT QUESTION

2 mins • 1 pt

False Position method is used to solve

nonlinear equations

system of linear equations

quadratic equations

eigen value problems

4.

MULTIPLE SELECT QUESTION

2 mins • 1 pt

Media Image

Solving nonlinear equations means ..

finding the root of the functions.

finding the zero of the functions.

finding the x value which f(x)=0.

5.

MULTIPLE SELECT QUESTION

2 mins • 1 pt

For any given system of linear equations, what are the possible solutions?

No solution

Unique solution

Dual solutions

Infinite many solutions

Tags

CCSS.8.EE.C.8B

6.

MULTIPLE CHOICE QUESTION

2 mins • 1 pt

The iteration formula for Newton-Raphson method is

xn+1=xn+f(xn)f(xn)x_{n+1}=x_n+\frac{f\left(x_n\right)}{f'\left(x_n\right)}

xn+1=xnf(xn)f(xn)x_{n+1}=x_n-\frac{f\left(x_n\right)}{f'\left(x_n\right)}

xn+1=xnf(xn)f(xn)x_{n+1}=x_n-\frac{f'\left(x_n\right)}{f\left(x_n\right)}

xn+1=xn+f(xn)f(xn)x_{n+1}=x_n+\frac{f'\left(x_n\right)}{f\left(x_n\right)}

7.

MULTIPLE CHOICE QUESTION

2 mins • 1 pt

Newton-Raphson method will fail for the following reasons, except

f(xo) f'\left(x_o\right)\ is approaching zero

f(xo) f'\left(x_o\right)\ increases too rapidly

xox_o is too far from the root

f(x) f\left(x\right)\ is approaching zero

Tags

CCSS.8.EE.C.7B

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