Minimize subject to
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Minimize y = x₁ + x₂ subject to 1 - x₁^(1/2) - x₂ = 0 (A) x₁* = 1/4, x₂* = 1/2 (B) x₁* = 1/4, x₂* = 1 (C) x₁* = 4, x₂* = 2 (D) x₁* = 1/2, x₂* = 1/4
Also written as: Minimize y = x_1 + x_2 subject to 1 - x_1^(1/2) - x_2 = 0
Constrained optimisation and linear programming has come up 44 times in 7 exams since 2007.
This question is on Equality-constrained optimisation and Lagrange multipliers, part of Constrained optimisation and linear programming in Mathematics.
Optimising a function subject to equality constraints, and what the multiplier means.
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Question from the JNU SIS 2012 paper. Solutions are TestStop's own. Not affiliated with or endorsed by any examination authority.