Its a method of Solving optimization problem over Real field with respect to equality constraints.
Let, the problem P is :-
Find max f(x,y)
s.t. g(x,y) = 0
Now,
1. We will make another function φ(x,y,λ) = f(x,y) + λ . g(x,y).
2. We can say that ∀p = (x0, y0) ∈ sp(P) [ sp(P) is Solution Space of problem P ] ∃λ0 s.t. φ(x0, y0, λ0) will be a stationary point.
i.e. ∀(x0, y0) ∈ sp(P) ∃λ0 ∈ ℜ s.t. φ(x0, y0, λ0) will be a stationary point,
→ ∇x,y,λ (φ) | (x0, y0, λ0) = 0.
One Example :-
max ( x + y )
s.t. x2 + y2 = 1
φ(x, y, λ) = x + y + λ ( x2 + y2 - 1 )
∇x,y,λ (φ) = ( 1 + λ x ; 1 + λ x ; x2 + y2 - 1) = 0 = ( 0 , 0 , 0 )
→ λ = √ 2 , ( x , y ) = ( 1/√ 2 ,1/√ 2 )
→ ∇x,y,λ (φ) | (x0, y0, λ0) = 0.
One Example :-
max ( x + y )
s.t. x2 + y2 = 1
φ(x, y, λ) = x + y + λ ( x2 + y2 - 1 )
∇x,y,λ (φ) = ( 1 + λ x ; 1 + λ x ; x2 + y2 - 1) = 0 = ( 0 , 0 , 0 )
→ λ = √ 2 , ( x , y ) = ( 1/√ 2 ,1/√ 2 )
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