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MATH 2331 - ERROR IN NUMERICAL
METHODS
Sourav Maiti
M tech, Electrical Engineering
BUDGE BUDGE INSTITUTE OF TECHNOLOGY
ERROR IN NUMERICAL METHODS
1. Definition
2. Type
3. Example
Definition:
The approximate representation of a real number
obviously differs from the actual number, whose
difference is called an error.
the difference between an observed or calculated value
and a true value.
The error in a computed quantity is defined as
Error = True Value - Approximate Value.
Type:
1. Absolute Error
2. Relative Error
3. Persentage Error
Absolute Error :
Absolute value of an error is called the absolute error.
Relative Error:
The relative error is a measure of the error in relation to the size
of the true value as given by
Relative Error= Error/True Value
Here, we assume that the true value is non-zero.
Persentage Error:
The percentage error is defined as Percentage
Error = 100 x Relative Error.
Example:
★ Let Xa denote the approximation to the real number x. We use the
following notations:
E(Xa)=: Erroг (Xa) =Xa-x
Ea(Xa)=: Absolute Error (Xa) =[E(Xa)]
Er(Xa)=: Relative Error(Xa)= E(Xa)/x , x≠0.
The absolute error has to be understood more carefully because a
relatively small difference between two large numbers can appear to
be large, and a relatively large difference between two small numbers
can appear to be small. On the other hand, the relative error gives a
percentage of the difference between two numbers, which is usually
more meaningful as illustrated below.
Thank You

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Error in Numerical method Mtech.pptx

  • 1. MATH 2331 - ERROR IN NUMERICAL METHODS Sourav Maiti M tech, Electrical Engineering BUDGE BUDGE INSTITUTE OF TECHNOLOGY
  • 2. ERROR IN NUMERICAL METHODS 1. Definition 2. Type 3. Example
  • 3. Definition: The approximate representation of a real number obviously differs from the actual number, whose difference is called an error. the difference between an observed or calculated value and a true value. The error in a computed quantity is defined as Error = True Value - Approximate Value.
  • 4. Type: 1. Absolute Error 2. Relative Error 3. Persentage Error
  • 5. Absolute Error : Absolute value of an error is called the absolute error.
  • 6. Relative Error: The relative error is a measure of the error in relation to the size of the true value as given by Relative Error= Error/True Value Here, we assume that the true value is non-zero.
  • 7. Persentage Error: The percentage error is defined as Percentage Error = 100 x Relative Error.
  • 8. Example: ★ Let Xa denote the approximation to the real number x. We use the following notations: E(Xa)=: Erroг (Xa) =Xa-x Ea(Xa)=: Absolute Error (Xa) =[E(Xa)] Er(Xa)=: Relative Error(Xa)= E(Xa)/x , x≠0. The absolute error has to be understood more carefully because a relatively small difference between two large numbers can appear to be large, and a relatively large difference between two small numbers can appear to be small. On the other hand, the relative error gives a percentage of the difference between two numbers, which is usually more meaningful as illustrated below.
  • 9.