Numeri c
1. Iterative process/ recursive process 2. Approximate approach
Numerik Vs Analitik Approximate Solution
Analitik Solution
Errors
How To Solve The Problems using Numeric?
Construct the model from problems and define variables Eveluate variables to construct simple model Formulate the model to numerics prosedure Running the numerics process Evaluate the solutions
Errors Analization What is Error conseps? How to define error?
Approximate solutions Series
Influence the error Classification the error
Chopping, Rounding Absolute error, Relatives error
The Taylor Series If f(x) and all of its derivatives of f(x) defined in [a,b] and if x0 exist in [a,b] so every value x arround x0 can be expaned to the Taylor series.
f '( x0 )( x− x01) f ( x) = f ( 0x ) + 1!
f ''( x0 )( x −x0 2) + 2!
n
f ( x0 )( x ... + + n !
n
The Mc Laurin Series For every Taylor series that x0 = 0 so every value x arround x0 can be expaned to the Mc Laurine series, that can be expressed by the form:
1
2
n
f '( x0 ) x f ''( x0 ) x f ( x0 ) x f ( x) = f ( x0 ) + + + ... + 1! 2! n!
n
Error concept For every analitic solution a and appoximate solution a’ can be define: 1. Absolute Error (E) E = | a - a’ | 2. Relatives Error (ER)
Relatives Error (E R ) E E R = ........relatives error absolute a E E R = ........relatives error appoximate a' ' ' ar +1 − ar ER = ........relatives error iteratives ' ar +1
STOP! Iteratives must be stoped if 1. The values from two or more iteratives is converges 2.
ER ≤ ES