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MatroZZZ [7]
3 years ago
8

When using Newton's Method to find the root of a linear function f(x) = ax + b, a 70, how many iterations of the method are requ

ired to find the root at r = R?1 4 2 There is no fixed number. It depends on the intial guess xo.
Mathematics
1 answer:
Bezzdna [24]3 years ago
3 0

Answer:

It depends on the initial guess Xo

Step-by-step explanation:

The number of iterations required to find the root at r = R  depends on the initial guess Xo, this is because when using Newton's method for finding roots, you will need to pick an initial guess and this will be followed by an iterative process which would converge to a solution. The number of roots before the converging will take place depends on the initial guess Xo made

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In a library where the ratio of men to women is 1 to 1, _____ of the total members are men
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Half of the total members are men. For every on women there is one man.

So if there was a total of 100 people in the library and the ratio of man to women was 1:1 there would be 50 women and 50 men. 
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Charles has $1600 dollars in his account and makes automatic $400
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1600(-400)= f is the y axis and -400 because its taking money from his account
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Factor the expression. 3p + 21
bagirrra123 [75]
I believe that the answer is p+7
7 0
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A music website charges x dollars for individual songs and y dollars for an entire album. Person A pays $25.92 to download 6 ind
EleoNora [17]
Amount charged for downloading individual songs = x dollars
Amount charged for downloading an entire song album = y dollars
Person A:
6x + 2y = 25.92
3x + y = 12.96
y = 12.96 - 3x
Person B:
4x + 3y = 33.93
Putting the value of y from the first equation in the second we get
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7 0
3 years ago
In Applied Life Data Analysis (Wiley, 1982), Wayne Nelson presents the breakdown time of an insulating fluid between electrodes
ale4655 [162]

Answer:

The sample mean is \bar{x}=14.371 min.

The sample standard deviation is \sigma = 18.889 min.

Step-by-step explanation:

We have the following data set:

\begin{array}{cccccccc}0.15&0.82&0.81&1.44&2.70&3.28&4.00&4.70\\4.96&6.49&7.25&8.03&8.40&12.15&31.89&32.47\\33.79&36.80&72.92&&&&&\end{array}

The mean of a data set is commonly known as the average. You find the mean by taking the sum of all the data values and dividing that sum by the total number of data values.

The formula for the mean of a sample is

\bar{x} = \frac{{\sum}x}{n}

where, n is the number of values in the data set.

\bar{x}=\frac{0.15+0.82+0.81+1.44+2.7+3.28+4+4.7+4.96+6.49+7.25+8.03+8.4+12.15+31.89+32.47+33.79+36.80+72.92}{19}\\\\\bar{x}=14.371

The standard deviation measures how close the set of data is to the mean value of the data set. If data set have high standard deviation than the values are spread out very much. If data set have small standard deviation the data points are very close to the mean.

To find standard deviation we use the following formula

\sigma = \sqrt{ \frac{ \sum{\left(x_i - \overline{x}\right)^2 }}{n-1} }

The mean of a sample is  \bar{x}=14.371.

Create the below table.

Find the sum of numbers in the last column to get.

\sum{\left(x_i - \overline{X}\right)^2} = 6422.0982

\sigma = \sqrt{ \frac{ \sum{\left(x_i - \overline{x}\right)^2 }}{n-1} }       = \sqrt{ \frac{ 6422.0982 }{ 19 - 1} } \approx 18.889

7 0
3 years ago
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