Finding error in following difference table?
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I've been trying to solve a question on my book on finding error in the following difference table:
My teacher told me to expand the difference table until I find the proper Binomial coefficients, hence I've expanded the difference table to y5.
According to my solution, the error is originating from 6th entry of the table.
In the y5 column, I am using Binomial factors to find the error.
Error = Largest value in a column / Corresponding coefficient of ε in that column
Error = $.095/4 = 0.02375$
Since my teacher told me that the error will always be subtracted from orginal entry
Corrected Value = $ 0.589 - 0.02375 = 0.56525 $
but in my book, the answer is: $0.598$
Where am I missing?
numerical-methods finite-differences error-propagation
$endgroup$
add a comment |
$begingroup$
I've been trying to solve a question on my book on finding error in the following difference table:
My teacher told me to expand the difference table until I find the proper Binomial coefficients, hence I've expanded the difference table to y5.
According to my solution, the error is originating from 6th entry of the table.
In the y5 column, I am using Binomial factors to find the error.
Error = Largest value in a column / Corresponding coefficient of ε in that column
Error = $.095/4 = 0.02375$
Since my teacher told me that the error will always be subtracted from orginal entry
Corrected Value = $ 0.589 - 0.02375 = 0.56525 $
but in my book, the answer is: $0.598$
Where am I missing?
numerical-methods finite-differences error-propagation
$endgroup$
add a comment |
$begingroup$
I've been trying to solve a question on my book on finding error in the following difference table:
My teacher told me to expand the difference table until I find the proper Binomial coefficients, hence I've expanded the difference table to y5.
According to my solution, the error is originating from 6th entry of the table.
In the y5 column, I am using Binomial factors to find the error.
Error = Largest value in a column / Corresponding coefficient of ε in that column
Error = $.095/4 = 0.02375$
Since my teacher told me that the error will always be subtracted from orginal entry
Corrected Value = $ 0.589 - 0.02375 = 0.56525 $
but in my book, the answer is: $0.598$
Where am I missing?
numerical-methods finite-differences error-propagation
$endgroup$
I've been trying to solve a question on my book on finding error in the following difference table:
My teacher told me to expand the difference table until I find the proper Binomial coefficients, hence I've expanded the difference table to y5.
According to my solution, the error is originating from 6th entry of the table.
In the y5 column, I am using Binomial factors to find the error.
Error = Largest value in a column / Corresponding coefficient of ε in that column
Error = $.095/4 = 0.02375$
Since my teacher told me that the error will always be subtracted from orginal entry
Corrected Value = $ 0.589 - 0.02375 = 0.56525 $
but in my book, the answer is: $0.598$
Where am I missing?
numerical-methods finite-differences error-propagation
numerical-methods finite-differences error-propagation
edited Dec 18 '16 at 4:27
HQuser
asked Dec 17 '16 at 14:21
HQuserHQuser
142212
142212
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$begingroup$
The corresponding coefficient of $varepsilon$ in that column for $0.095$ is $-10$.
So error will be $-0.0095$. And hence Corrected Value $=0.589+0.0095=0.5985$
$endgroup$
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$begingroup$
The corresponding coefficient of $varepsilon$ in that column for $0.095$ is $-10$.
So error will be $-0.0095$. And hence Corrected Value $=0.589+0.0095=0.5985$
$endgroup$
add a comment |
$begingroup$
The corresponding coefficient of $varepsilon$ in that column for $0.095$ is $-10$.
So error will be $-0.0095$. And hence Corrected Value $=0.589+0.0095=0.5985$
$endgroup$
add a comment |
$begingroup$
The corresponding coefficient of $varepsilon$ in that column for $0.095$ is $-10$.
So error will be $-0.0095$. And hence Corrected Value $=0.589+0.0095=0.5985$
$endgroup$
The corresponding coefficient of $varepsilon$ in that column for $0.095$ is $-10$.
So error will be $-0.0095$. And hence Corrected Value $=0.589+0.0095=0.5985$
edited Feb 11 '18 at 7:06
mucciolo
1,9721819
1,9721819
answered Feb 11 '18 at 6:07
bharat dubeybharat dubey
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