An Augmented Lagrangian Method for

An Augmented Lagrangian Method for
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DOI:
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发表时间:
2010
影响因子:
2
通讯作者:
J. Koko;Stéphanie Jehan-Besson-
J. Koko;Stéphanie Jehan-Besson-
中科院分区:
数学4区
文献类型:
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作者:
J. Koko;Stéphanie Jehan-Besson-

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其中松弛变量si ≥ 0。我们使用它(为什么?)si = 0或si = ci − μλi。定理设x ∈ R是具有等式约束的完全问题的局部解(为简单起见).设LICQ和二阶充分条件对λ = λ满足。然后有一个阈值μ ∈(0,μ ∈],x ∈是LA的严格局部极小。证明目标是证明对于u ∈ Rn,u <$xxLA = 0,且u <$xxLAu > 0。由于ci(x)= 0,第一个KKT条件是显而易见的:对于任何μ
with slack variables si ≥ 0. We use that (why?) si = 0 or si = ci − μλi . Theorem Let x∗ be a local solution of the full problem with equality constraints (for simplicity). Suppose LICQ and second-order sufficient conditions are satisfied for λ = λ∗. Then there is a threshhold μ̄ such that for any μ ∈ (0, μ̄], x∗ is a strict local minimizer of LA. Proof Goal is to show ∇xLA = 0, and u∇xxLAu > 0 for u ∈ Rn. Since ci(x) = 0, the first KKT condition is obvious: for any μ