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Numerical Analysis Solving Nonlinear Equations

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Quasi-Newton method(I) Broyden's method. Without calculating the ... Steepest Descent Method(I) Finding a local minimum for a multivariable ... Steepest ... – PowerPoint PPT presentation

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Title: Numerical Analysis Solving Nonlinear Equations


1
Numerical Analysis Solving Nonlinear Equations
  • Hanyang University
  • Jong-Il Park

2
Nonlinear Equations
3
Newtons method(I)
4
Newtons method(II)
  • Generalization to n-dimension

5
Solving nonlinear equation
  • multi-dimensional root finding

Solving nonlinear eq.
M-D Root finding
Solving linear eq.
6
Newtons method - Algorithm
7
Eg. Newtons method(I)
Eg.
Sol.
8
Eg. Newtons method(II)
At each step
9
Eg. Newtons method(II)
  • Result

10
Discussion
11
Quasi-Newton method(I)
  • Broydens method
  • Without calculating the Jacobian at each
    iteration
  • Using approximation
  • Analogy
  • Root finding Newton vs. Secant
  • Nonlinear eq. Newton vs. Broyden
  • ? Broydens method is called multidimensional
    secant method

Read Section 10.3, Numerical Methods, 3rd ed.
by Faires and Burden
12
Quasi-Newton method(II)
  • Replacing the Jacobian with the matrix A

This update involves only matrix-vector
multiplication!
  • Important property of calculating

13
Eg. Broydens method
  • Results

Slightly less accurate than Newtons method.
14
Steepest Descent Method(I)
  • Finding a local minimum for a multivariable
    function of the form
  • Algorithm

where
15
Steepest Descent Method(II)
  • Mostly used for finding an appropriate initial
    value of Newtons methods etc.
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