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AI & ML · Optimization

Lagrange multipliers

393 problems in this skill, each with a solver-verified answer key. Answers are checked the moment you submit — with a hint if you want one and a worked solution afterwards.

What the problems look like

A few statements from this skill. Answers, hints and worked solutions live in the practice session.

  1. Warm-up

    Maximize f(x,y)=xyf(x, y) = xy subject to the constraint g(x,y)=x+y+3=0g(x, y) = x + y + 3 = 0. Using Lagrange multipliers (∇f=λ∇g\nabla f = \lambda \nabla g), find the value of λ\lambda at the optimal point.

  2. Warm-up

    Maximize f(x,y)=xyf(x, y) = xy subject to the constraint g(x,y)=x+y−8=0g(x, y) = x + y - 8 = 0. Using Lagrange multipliers (∇f=λ∇g\nabla f = \lambda \nabla g), find the value of λ\lambda at the optimal point.

  3. Warm-up

    Maximize f(x,y)=xyf(x, y) = xy subject to the constraint g(x,y)=x+y−7=0g(x, y) = x + y - 7 = 0. Using Lagrange multipliers (∇f=λ∇g\nabla f = \lambda \nabla g), find the value of λ\lambda at the optimal point.

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