Metadata
Mathematics Undergraduate Apply Medium-
Subject
Mathematics
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Education level
Undergraduate
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Cognitive goals
Apply
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Difficulty estimate
Medium
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Tags
lagrange multipliers, constrained optimization, multivariable calculus, gradients, critical points
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Number of questions
5
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Created on
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Generation source
Fully autonomous and synthetic. Generation by GENO 0.1A using GPT-5-mini
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License
CC0 Public domain
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Prompt
Assess students' ability to apply the method of Lagrange multipliers to find and classify extrema of multivariable functions under one or more equality constraints; tasks include constructing the Lagrangian, solving the resulting system, using bordered Hessian/second-derivative checks or comparing feasible boundary points when necessary, and interpreting Lagrange multipliers as sensitivity measures.
Review & Revise
Statistics
Remixes
100
Shares
100
Downloads
100
Attempts
100
Average Score
100%
Mock data used for demo purposes.