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Solution of Non-linear Equation Systems

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Solution of Non-linear Equation Systems In this lecture, we shall look at the mixed symbolic and numerical solution of algebraically coupled non-linear equation systems. – PowerPoint PPT presentation

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Title: Solution of Non-linear Equation Systems


1
Solution of Non-linear Equation Systems
  • In this lecture, we shall look at the mixed
    symbolic and numerical solution of algebraically
    coupled non-linear equation systems.
  • The tearing method lends itself also to the
    efficient treatment of non-linear equation
    systems.
  • The numerical iteration of the non-linear
    equation system can be limited to the tearing
    variables.

2
Table of Contents
  • Non-linear equation systems
  • Newton iteration
  • Newton iteration with tearing
  • Newton iteration of linear equation systems

3
Non-linear Equation System An Example I
4
Non-linear Equation System An Example II
5
Non-linear Equation System An Example III
q
?p
q Flow rate
?p Pressure reduction
? ?p sign(q) q2 / k2
6
Non-linear Equation System An Example IV
7
Non-linear Equation System An Example V
?
8
Newton Iteration I
f(x) 0
x ? ? n f ? ? n
Non-linear equation system
x 0
Initial guess
x i1 x i - Dx i
Dx ? ? n
Iteration formula
Dx i H(x i )-1 f(x i )
H ? ? n ? n
Increment
Hessian matrix
9
Newton Iteration Example I
10
Newton Iteration II
Computation of increment
11
Newton Iteration with Tearing I
p2 100 p0 1 fS (q1 ,p1 ,p2 ) 0 fI (q2 ,p0
,p1 ) 0 fII (q3 ,p0 ,p1 ) 0 q1 - q2 - q3 0
?
?
12
Newton Iteration with Tearing II
?
13
Newton Iteration with Tearing III
14
Newton Iteration Example II
15
Newton Iteration Example III
16
Newton Iteration for Linear Systems
Ax b
Linear system
? f(x) Ax b 0
? H(x) ?f(x)/ ? x A
? ADx Ax b
? Dx x A-1b
? x 1 x 0 (x 0 A-1b) A-1b
17
Summary
  • The tearing method is equally suitable for use in
    non-linear as in linear systems.
  • The ?ewton iteration of a non-linear equation
    system leads internally to the solution of a
    linear equation system. The Hessian matrix of
    this equation system needs only to be determined
    for the tearing variables.
  • The ?ewton iteration can also be used very
    efficiently for the solution of linear systems in
    many variables, since it converges (with correct
    computation of the H(x) matrix) in a single step.
  • In practice, the H(x) matrix is often numerically
    approximated rather than analytically computed.
  • Yet, symbolic formula manipulation techniques can
    be used to come up with symbolic expressions for
    the elements of the Hessian matrix.
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