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Quasi-Newton课件
Quasi-Newton Methods
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Background
Assumption: the evaluation of the Hessian is impractical or costly.
Central idea underlying quasi-Newton methods is to use an approximation of the inverse Hessian.
Form of approximation differs among methods.
Question: What is the simplest approximation?
The quasi-Newton methods that build up an approximation of the inverse Hessian are often regarded as the most sophisticated for solving unconstrained problems.
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Modified Newton Method
Question: What is a measure of effectiveness for the Classical Modified Newton Method?
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Quasi-Newton Methods
Big question: What is the update matrix?
In quasi-Newton methods, instead of the true Hessian, an initial matrix H0 is chosen (usually H0 = I) which is subsequently updated by an update formula:
Hk+1 = Hk + Hku
where Hku is the update matrix.
This updating can also be done with the inverse of the Hessian H-1as follows:
Let B = H-1; then the updating formula for the inverse is also of the form
Bk+1 = Bk + Bku
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Hessian Matrix Updates
Given two points xk and xk+1 , we define gk = y(xk) and gk+1 = y(xk+1).
Further, let pk = xk+1 - xk , then
gk+1 - gk ≈ H(xk) pk
If the Hessian is constant, then
gk+1 - gk = H pk which can be rewritten as qk = H pk
If the Hessian is constant, then the following condition would hold as well
H-1k+1 qi = pi 0 ≤ i ≤ k
This is called the quasi-Newton condition.
占钨盗脂噪焉漱咎迅昆锹钢卑蛰杂来严停颓期母捡迪隙颅增任特巢讫澜改Quasi-Newton课件Quasi-Newton课件
Rank One and Rank Two Updates
Let B = H-1, then the quasi-Newton condition becomes Bk+1 qi = pi 0 ≤ i ≤ k
Substitute the updating formula Bk+1 = Bk + Buk and the condition becomes
pi = Bk qi + Buk qi (1)
(remember: pi = xi+1 - xi and qi = gi+1 - gi )
Note: There is no unique solu
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