Absolute relative approximate error

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Discussion Overview

The discussion revolves around the concept of "absolute relative approximate error," particularly in the context of iterative methods for finding approximate solutions. Participants explore the definition and formula associated with this error measurement.

Discussion Character

  • Technical explanation, Conceptual clarification, Homework-related

Main Points Raised

  • One participant expresses confusion regarding the formula for "absolute relative approximate error."
  • Another participant explains that "absolute" refers to the size of the error and "relative" pertains to the exact value, suggesting a formula involving the absolute value of the error divided by the exact value.
  • A different participant questions the utility of knowing the exact value, arguing that since it is presumably unknown, the approximate value should be used to compute the relative error instead.
  • A later reply provides a specific formula for "absolute relative approximate error," stating it as (( x_present - x_previous ) / x_present )*100.

Areas of Agreement / Disagreement

Participants do not reach a consensus on the definition and application of the term "absolute relative approximate error," with differing views on the role of the exact value in the calculation.

Contextual Notes

There is an assumption that the exact value is unknown, which influences the discussion on how to compute the error. The definitions and formulas presented may depend on specific contexts or interpretations.

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I'm a bit confused, i have a question, it asks me to find ''the absolute relative approximate error'' at the end of each iteration. What's the formula of ''the absolute relative approximate error''?
 
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absolute means the size of the error (ie. the absolute value of the error), and relative means relative to the exact value. So the formula would be (absolute value of the error)/(exact value).
 
The exact value is presumably unknown. Why go to the effort of finding an approximate solution if you already know the exact value? The exact value cannot be used to determine the relative error. An approximate value is available, so that is the appropriate thing to use in computing the scaled (or relative) error. Hence the term "absolute relative approximate error".
 
I find lecture notes:

''the absolute relative approximate error'' = (( x_present - x_previous ) / x_present )*100
 

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