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NUMERICAL
METHODS
DEFINITION
 The bisection method is a root finding
method that applies to any continuous
functions for which one knows two
values with opposite signs.
 The method consist of repeatedly
bisecting the interval defined by these
values and then selecting the
subinterval in the function changes sign
and therefore must contain the root.
POLYNOMIALS
For polynomials more elaborated
method exists for testing the existence of a
root in an interval.
 Descarte’s Rule of Signs
 Sturm’s theorem
 Budan’s theorem
They allow existing bisection method into
efficient algorithms for finding all real roots
of a polynomial.
Example
Suppose that the bisection method is used
to find a root of the polynomial
𝑓 𝑥 = 𝑥3
− 𝑥 − 2
Put x=1,2,…
𝑓 1 = 13
− 1 − 2 = −2
𝑓 2 = 23
− 2 − 2 = 4
Both had –ve points
So the midpoint is 𝑐 =
2=1
2
= 1.5
𝑓 1 = 1.53
− 1.5 − 2 = −0.125
ITERATION 𝒂 𝒏 𝒃 𝒏 𝒄 𝒏 𝒇(𝒄 𝒏)
1 1 2 1.5 -0.125
2 1.5 2 1.75 1.609
3 1.5 1.75 1.625 1.666
4 1.5 1.625 1.5625 0.252
5 1.5 1.5625 1.5312500 0.059
6 1.5 1.5312500 1.5156250 -0.034
7 1.5156250 1.5312500 1.5234375 0.0122
8 1.5156250 1.5234375 1.5195313 -0.0109
9 1.5195313 1.5214844 1.5205078 0.0006
10 1.5195313 1.5214844 1.5209961 -0.0051
11 1.5205078 1.5214844 1.5212402 -0.0022
12 1.5209961 1.5214844 1.5212402 -0.0008
13 1.5212402 1.5214844 1.5213623 -0.0001
14 1.5213623 1.5214844 1.5214233 0.0002
15 1.5213623 1.5214233 1.5213928 0.00078
RESULT
1.521 is a Real root of the equation
𝑓 𝑥 = 𝑥3
− 𝑥 − 2
THANK YOU

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Numerical methods ppt

  • 2.
  • 3. DEFINITION  The bisection method is a root finding method that applies to any continuous functions for which one knows two values with opposite signs.  The method consist of repeatedly bisecting the interval defined by these values and then selecting the subinterval in the function changes sign and therefore must contain the root.
  • 4. POLYNOMIALS For polynomials more elaborated method exists for testing the existence of a root in an interval.  Descarte’s Rule of Signs  Sturm’s theorem  Budan’s theorem They allow existing bisection method into efficient algorithms for finding all real roots of a polynomial.
  • 5. Example Suppose that the bisection method is used to find a root of the polynomial 𝑓 𝑥 = 𝑥3 − 𝑥 − 2 Put x=1,2,… 𝑓 1 = 13 − 1 − 2 = −2 𝑓 2 = 23 − 2 − 2 = 4 Both had –ve points So the midpoint is 𝑐 = 2=1 2 = 1.5 𝑓 1 = 1.53 − 1.5 − 2 = −0.125
  • 6. ITERATION 𝒂 𝒏 𝒃 𝒏 𝒄 𝒏 𝒇(𝒄 𝒏) 1 1 2 1.5 -0.125 2 1.5 2 1.75 1.609 3 1.5 1.75 1.625 1.666 4 1.5 1.625 1.5625 0.252 5 1.5 1.5625 1.5312500 0.059 6 1.5 1.5312500 1.5156250 -0.034 7 1.5156250 1.5312500 1.5234375 0.0122 8 1.5156250 1.5234375 1.5195313 -0.0109 9 1.5195313 1.5214844 1.5205078 0.0006 10 1.5195313 1.5214844 1.5209961 -0.0051 11 1.5205078 1.5214844 1.5212402 -0.0022 12 1.5209961 1.5214844 1.5212402 -0.0008 13 1.5212402 1.5214844 1.5213623 -0.0001 14 1.5213623 1.5214844 1.5214233 0.0002 15 1.5213623 1.5214233 1.5213928 0.00078
  • 7. RESULT 1.521 is a Real root of the equation 𝑓 𝑥 = 𝑥3 − 𝑥 − 2